Call for Proposals - Huawei/media/CORPORATE/PDF/HIRP/2016--Wireless... · Call for Proposals Wireless Communication Technology HIRP OPEN 2016 . ... Unless otherwise agreed by Huawei

HIRPOPEN2016 Wireless Communication Technology

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Call for Proposals

Wireless Communication

Technology

HIRP OPEN 2016


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Application Deadline: 09:00 A.M., 18th July, 2016 (Beijing Standard Time, GMT+8).

If you have any questions or suggestions about HIRP OPEN 2016, please send Email

([email protected]). We will reply as soon as possible.

mailto:[email protected]).


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Catalog

HIRPO20160101: Bearer Network for 5G ................................................................................. 6

HIRPO20160102: Real-time Video Transmission Optimization in Wireless Networks ............. 9

HIRPO20160103: 5G IoT Service Transmission ..................................................................... 14

HIRPO20160104: Feasibility and Position for High Frequency/Light Communication ........... 16

HIRPO20160105: High Reliability Communication over 5G Unlicensed ................................ 19

HIRPO20160106: Unlicensed Spectrum’s Ultra High Speed Data Transmission .................. 22

HIRPO20160107: Unlicensed Spectrum’s Ultra High Reliable Transmission ........................ 24

HIRPO20160108: Unlicensed Spectrum’s Ultra Dense Network ............................................ 26

HIRPO20160109: Unlicensed Spectrum’s Ultra Large Coverage ........................................... 28

HIRPO20160110: Cross-link Interference Mitigation for Dynamic TDD.................................. 30

HIRPO20160111: Codebook Design for FDD Massive MIMO ................................................ 33

HIRPO20160112: High Resolution CSI Feedback for Massive MIMO Systems .................... 36

HIRPO20160113: Coordination Schemes in High Frequency Bands ..................................... 39

HIRPO20160115: Research on Radar Technology Application in Wireless Communication. 42


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HIRPO20160116: High Precision Beam Antenna Design ....................................................... 44

HIRPO20160117: Positioning Technology Research ............................................................. 46

HIRPO20160118: UE-centric Small Cell Network Research and Design ............................... 49

HIRPO20160119: Spatial Channel Estimation Research for mmWave Massive MIMO System

................................................................................................................................................. 51

HIRPO20160121: Energy Proportional eNodeB/Network for LTE-Advanced and Beyond .... 53

HIRPO20160122: Group Delay Consistency in Millimeter Wave Filter ................................... 57

HIRPO20160123: Software Design of Automatic Layout of Filter Cavity................................ 59

HIRPO20160124: Antenna Attitude Determination ................................................................. 61

HIRPO20160125: Boradband Dual Polarization Radiator with Asymmetric Pattern .............. 64

HIRPO20160126: Small Size and Low Loss Combiner with Triple Frequency Bands ........... 66

HIRPO20160127: Decoupling Network ................................................................................... 68

HIRPO20160128: High Speed T/H Circuit Research .............................................................. 71

HIRPO20160129: Research on Lens Antenna with Phased Array Feeder............................. 74

HIRPO20160130: M-MIMO High DR RoF ............................................................................... 77

HIRPO20160131: Study of Wireless Propagation Characteristics and Its Impact on System


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Performance for 5G New Scenarios ........................................................................................ 80

HIRPO20160132: Study of Novel Wireless Channel Characteristics Prediction, Grouping

Method ..................................................................................................................................... 82


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HIRPO20160101: Bearer Network for 5G

1 Theme: Wireless Communication Technology

2 Subject: 5G bearer network

List of Abbreviations

5G：5th generation mobile network

RAN: Radio Access Network

EPC：Evolved Packet Core

MM：Mobility Management，steering the traffic to the mobile node wherever it

moves

3 Background

To investigate breakthrough architecture and the enabling technologies to

satisfy the 5G core KPI including the RRB-BBU Interface / backhaul and the

core network excluding air interface technologies.

5G is the next generation wireless network and is one of the biggest moves in

the communication industry. The core KPIs of 5G (1ms latency, 1G-10Gbps

bandwidth, 1 million connections per km square) would change the network

architecture as well as new air interface technologies. There are four parts that

the bearer network to carrier traffic.

The first part is backhaul network, which connects wireless site to core network

(EPC). For 5G network, the EPC could be distributed, especially MEC will

push EPC function to close to site. To carrier IoT traffic, especially mission


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critical machine type communication, the requirement of delay and jitter is

much stricter than 4G network.

The second part is RRU-BBU interface. The innovation on wireless technology

is to separate BBU and RRU, and place BBU at centralized location to control

distributed RRU. The major challenge of RRU-BBU interface is big bandwidth,

low delay and jitter.

The third part is midhaul, which carries X2 traffic. It is believed X2 traffic will

increase dramatically in 5G network because of CA and denser sites layout.

The forth part is network slicing, which becomes a hot spot in the research of

whole 5G network architecture, what is the bearer network role in network

slicing, and what is the key architecture and enabling technology?

4 Scope

The scope of the project should focus on bearer network, including backhaul,

RRU-BBU interface, and midhaul, with IP technology. Current IP technology

may has a big gap to meet the requirement, some major requirement may

required. The scope is not limited to network layer technology, also technology

at layer 2 or 1 even 4 could be included.

5 Expected Outcome and Deliverable

1) 5G Network challenges report;

2) 5G Bearer network proposal;

3) 5G Network demo.

6 Phased Project Plan

1) Phase1 (~3 months): Problem Identification.


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Understand the 5G requirement, study the traffic model of RRU-BBU

Interface/midhaul/backhaul;

2) Phase2 (~5 months): Architecture Proposal.

Propose the network architecture and enabling technologies including

RRU-BBU Interface and backhaul network;

3) Phase3 (~4 months): Enabling technologies design, prototype development

and verification;

Develop the prototype and enabling technologies and verifying the prototype

by either dry run or simulation.

Click here to back to the Top Page


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HIRPO20160102: Real-time Video Transmission

Optimization in Wireless Networks


2 Subject: radio transmission technology

3 Background

Video traffic is the well known the fundamental traffic in the MBB/eMBB

networks. As the figure shown below, video services are also have three

typical groups:

Video streaming, e.g. VOD;

Real-time video, e.g. video call, video monitoring etc;

Virtual Reality.

Now in the UMTS/LTE networks, VOD streams have been widely carried in the

wireless networks and the play out buffer in the UE side can efficiently smooth

the channel/bit-rate varying over the air.

However the real-time video and even VR requires much higher network

capability in the future, and VR is foreseen to be carried in 5G networks, which

can also be considered as the evolution of real-time video. So real-time video

service is essential to be enhanced in the cellular network for its strict

requirements of:

End to end latency limitation;

High bit-rate even at cell edge;

High cost of video encoding/decoding time and computation.


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Although UMTS/LTE are already can support the real-time video from the

beginning, for the video call with CBR64kbps in UMTS and ViLTE H.264 HD

video call in LTE respectively. However the experience is very poor for the low

resolution and poor coverage.

HD video with new codec such as H.264, H.265 already can achieve great

progress in the video compression and good quality, but compares to voice

traffic in LTE, still real-time video is the bottleneck to support, for:

Much higher bit-rate (384kbps and above) than voice (23.85 at most now);

Encoding/decoding time consuming much longer than voice;

VBR with unpredictable instance bit-rate for the channel.

4 Scope

Identify the typical requirements for the real-time video use cases: there are

wide use cases for real-time video application, in the figure below, we

summarized several applications as:


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Video call;

Real-time monitoring;

Social APP (e.g. Facebook live video);

Unmanned Aerial Vehicle (HD video transmit back).

Research on coverage enhancement/experience improvement solution design:

based on the typical real-time video transmission use cases, and identified

requirements, design the solutions to effectively enhance the real-time video

coverage and transmission reliability, within the latency limitation.

5 Expected Outcome and Deliverables

The state-of-the-art investigation report of real-time video transmission

optimization in wireless networks, and technical reports of real-time video

QoE metrics and requirements used in wireless transmission;


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Technical reports of real-time video coverage enhancement solution

design, including joint optimization of the codec adaptation mechanism

according the air interface information, physical layer enhancement for the

variable bit-rate video data, uplink transmission mechanism optimization of

the real-time video in wireless network, the performance simulation of the

schemes;

Real-time video quality evaluation platform supports the evaluation of

different loss level of the video data;

1~2 Invention/patents.

6 Acceptance Criteria

The proposed mechanism can extend the real-time video coverage to about

3dB, with the same video quality;

The benefit is reasonable theoretically, from the perspectives of real-time video

traffic character, the character or enhancement of the encoding/decoding. And

proved by the simulation evaluation;

No needs to implement the whole protocol stack and the whole RRM schemes

in the platform, pure physical layer enhancement is also acceptable given the

video traffic model is reasonably modeled.


Phase1 (~3 months): Survey the state of the art of real-time transmission

optimization in wireless networks in industry and academic, and identify the

problems, metrics and requirements in this topic, forms technical reports;

Phase2 (~5 months): Research on real-time video coverage enhancement

solution design, could be the end to end optimization or the physical layer


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focused study. Form the solution design report and the brief evaluation of the

core idea;

Phase3 (~4 months): Research on real-time video cross-layer optimization

mechanisms such as codec adaptation according the tighter cooperation with

air interface; the enhanced encoding with tighter cooperation with air interface;

joint radio optimization with richer codec information. And deliver the concrete

simulation results of all the solutions proposed in the project.



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HIRPO20160103: 5G IoT Service Transmission



3 Background

In 5G system, IoT service is identified as one of the important use case. In

3G/4G system, some features have been already specified like eMTC and

NB-IoT. In 5G system further requirement beyond current LTE has been

proposed. This project tries to address those new requirements with potential

new architecture and assumption.

4 Scope

How to support IP based or non-IP based IoT services using the efficient

network architecture and corresponding procedure.

How to support IoT services more efficiently which may not under current

transmission assumption like session management, mobility management etc.


System design of 5G IoT is expected as the outcome, together with patent and

system simulation if necessary.


Phase1 (~3 months): Complete requirement analysis and competitive analysis;

Phase2 (~7 months): Complete feature design, complete and improve feature

design, complete performance evolution;


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Phase3 (~2 months): results acceptance.



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HIRPO20160104: Feasibility and Position for High

Frequency/Light Communication


2 Subject: new air interface technology

3 Background

High frequency/light communication is one way to alleviate the spectrum

gridlock at lower frequencies while simultaneously providing high-bandwidth

communication channels.

However, the component electronics used in these systems, including power

amplifiers, low noise amplifiers, mixers, and antennas, are too big in size and

consume too much power to be applicable in mobile communication.

Beamforming is a key enabling technology of MBB. High frequency/light

communication makes use of MIMO through large antenna arrays at both the

base station and the mobile station to provide sufficient received signal power.

However, the cost of implementing one RF chain per antenna can be

prohibitive, especially given the large number of antennas in MBB. With analog

baseband beamforming or RF beamforming, one or a few RF chains can be

used. In that case, the number of data streams that can be transmitted is

limited by the number of RF chains.

In addition to the component restriction and beamforming structure, the frame

structure, MIMO transceiver architectures, multiple access, waveform and

other air interface designs inspired by the hardware constraints should be

carefully analyzed.


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4 Scope

Research on hardware constraints for High frequency/light

communication: while the small wavelength of high frequency/light

communication signals allows a large number of antennas to be packed into a

small form factor, the high cost components, like high-resolution

analog-to-digital converters (ADCs), makes it difficult to dedicate a separate

complete radio frequency (RF) chain with these components for each antenna.

Antenna technologies: high frequency/light communication will introduce

large number of antennas. This impacts the complexity of key signal

processing functions like channel estimation, precoding, combining, and

equalization.

mmWave air interface: to identify the high efficient air interface tech such as

frame structure, channel designs.


Technical reports of high frequency/light communication, key technologies

and analysis for air interface;

Technical reports of MIMO architectures and beamforming, including the

precoding and combining strategies for the broaedband high

frequency/light communication channel;

Simulation platform with source codes and description;



The capacity gain over low frequency on MBB services will be provided;


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To feed the requirements provided by NGMN;

System complexities will be kept on a low level and can be refered to future

commercial product.


Phase1 (~3 months): survey the state of the art of high frequency/light

communication field, analyze and build the system model and provide the

related technical report;

Phase2 (~6 months): Research on system design based on high

frequency/light communication to identify key technologies and provide the

related technical report;

Phase3 (~8 months): Research on schemes of beamforming and combining

and provide air interface designs, simulation results and patents.



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HIRPO20160105: High Reliability Communication over

5G Unlicensed


2 Subject: unlicensed spectrum

3 Background

Unlicensed spectrum plays an important role in 5G wireless communications

as it offers significant capacity boost to licensed spectrum. 3GPP is currently

specifying 5G which includes the unlicensed spectrum.

One key problem for unlicensed spectrum is shared by multiple devices where

a fair co-existence shall be ensured, e.g. by Listen-Before-Talk. Especially in a

dense network, LBT may cause congestions and severe delay in the initial

transmission. In addition, the retransmission may also be not ensured as the

retransmission may also experience LBT. These factors may cause the

transmission over the unlicensed spectrum not reliable.

It is therefore desirable to investigate efficient means to ensure high reliability

transmission over the unlicensed spectrum.

4 Scope

Target scenarios for High reliability communication over 5G-unlicensed:

Define the target scenarios for high reliability communication over

5G-Unlicensed, including the regulation requirements, the interference

modeling (e.g. different RAT like WiFi, Licensed Assisted Access, and number

of devices connected), traffic model, frequency bands and latency

requirement.


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Research on solutions to ensure high reliability communication over

5G-unlicensed: solutions efficient ensure high reliability communication with

target latency requirements, which at least includes waveform.


Technical reports of target scenarios for High reliability communication

over 5G-unlicensed, which at least includes the regulation requirements,

the interference modeling (e.g. different RAT like WiFi, Licensed Assisted

Access, and number of devices connected), traffic model, frequency bands,

Latency requirement;

Technical reports of solutions to ensure high reliability communication over

5G-unlicensed which at least includes the waveform, co-existence

mechanism, and the evaluation results to justify the solution;



Improve reliability over LAA/eLAA at least by 50%. For example, in one target

scenario with high device density, the supported number of users for a given

data rate via 5G-Unlicensed are 150% of that via LAA/eLAA.


Phase1 (~3 months): Survey the state of the art of high reliability

communication over licensed spectrum as well as unlicensed spectrum;

Phase2 (~3 months): Define the target scenarios for High reliability

communication over 5G-Unlicensed and provides the technical reports;


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Phase3 (~6 months): Research on solutions for high reliability communication

over 5G-unlicensed, simulation results and patents.



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HIRPO20160106: Unlicensed Spectrum’s Ultra High

Speed Data Transmission



3 Background

In 5G define the expansion of Unlicensed spectrum, Unlicensed spectrum has

become an important issue for researching and discussing.

The future use of Unlicensed spectrum scene is very wide, such as industrial,

IoT, Enterprise LAN and so on.

Unlicensed spectrum has some characteristics different from the Licensed

spectrum, such as susceptible to interference, and other systems (WiFi)

coexist, law and spectrum’s restrictions, so it need to research Unlicensed

spectrum’s all sorts of technology carefully.

Project about Unlicensed spectrum’s ultra high speed data transmission will be

applied to some important scene such backhaul of dense site in Unlicensed

spectrum network, and the research can also enhance overall network

capacity in Unlicensed spectrum network.

It will be a challenge about how to ensure the ultra high speed data

transmission among interference and other system (such as Wifi)’s

coexistence.


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4 Scope

Studying influence of interference and coexistence system in Unlicensed

spectrum network.

Studying key technologies and solution about how to ensure the ultra high

speed data transmission among interference and other system (such as Wifi)’s

coexistence.


The project hopes to deliver key technologies of coexistence of other systems,

anti-interference and the ultra high speed data transmission in Unlicensed

spectrum network.


The research results will help enterprise to use Unlicensed spectrum applied

some scene and enhance overall network capacity in Unlicensed spectrum

network among interference and other system (such as Wifi)’s coexistence


Phase1 (~10 months): The feasibility and influence of interference and

coexistence system of Unlicensed spectrum’s ultra high speed data

transmission;

Phase2 (~8 months): Studying key technologies of Unlicensed spectrum’s

ultra high speed data transmission and scenario analysis and simulation data.



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HIRPO20160107: Unlicensed Spectrum’s Ultra High

Reliable Transmission



3 Background









Project about Unlicensed spectrum’s ultra high reliable transmission will be

applied to some high reliable and low latency‘s scenes such as industrial 4.0. It

will be a challenge about how to ensure the ultra high reliable transmission

among interference and other system(such as Wifi)’s coexistence.

4 Scope


spectrum network.


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Studying key technologies about how to ensure the ultra high reliable

transmission among interference and other system(such as Wifi)’s

coexistence.


The project hopes to deliver key technologies of coexistence of other systems,

anti-interference and the ultra high reliable transmission in Unlicensed

spectrum.



industrial 4.0 and other high real-time and reliability of the field.


Phase1 (~10 months): The feasibility and influence of interference and

coexistence system of Unlicensed spectrum’s ultra high reliable transmission;

Phase2 (~8 months): Studying key technologies of Unlicensed spectrum’s

ultra high reliable transmission and scenario analysis and simulation data.



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HIRPO20160108: Unlicensed Spectrum’s Ultra Dense

Network



3 Background






spectrum, such as susceptible to interference, and other systems (such as

WiFi) coexist, law and spectrum’s restrictions, so it need to research

Unlicensed spectrum’s all sorts of technology carefully.

Project about Unlicensed spectrum’s ultra dense network can help operators

and enterprises to obtain higher capacity density and increase the overall

capacity of the network in Unlicensed spectrum network.

4 Scope


spectrum network.

The feasibility of the Unlicensed spectrum of super dense networks and how to

deploy the Unlicensed spectrum network in different scenes and key

technologies.


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The project hopes to deliver scenario analysis and key technologies of

coexistence of other systems, anti-interference and dense network in

Unlicensed spectrum’s ultra dense network.


The research results will help operators and enterprises largely to improve

spectrum efficiency and increase overall network capacity in Unlicensed

spectrum’s ultra dense network.


Phase1 (~8 months): The feasibility and key technology of Unlicensed

spectrum’s ultra dense network;

Phase2 (~10 months): Studying scenario analysis, influence of interference

and coexistence system and simulation data in Unlicensed spectrum’s ultra

dense network.



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HIRPO20160109: Unlicensed Spectrum’s Ultra Large

Coverage



3 Background

In 5G define the expansion of unlicensed spectrum, unlicensed spectrum has


The future use of unlicensed spectrum scene is very wide, such as industrial,






Project about Unlicensed spectrum’s ultra large coverage transmission will be

applied to some long distance control scenes such as UAV (Unmanned Aerial

Vehicle) and some long distance data transmission. It will be a challenge about

how to ensure super-long distance‘s reliable control of low latency and data

transmission of certain capacity among interference and other system (such as

Wifi)’s coexistence.

4 Scope

Studying influence of interference and coexistence system of long distance

and super-long distance in Unlicensed spectrum network.


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Studying key technologies about how to ensure super-long distance‘s reliable

control and data transmission among interference and other system (such as

Wifi)’s coexistence.


The project hopes to deliver some key technologies or solutions of

anti-interference and the super-long distance’s reliable control and data

transmission in Unlicensed spectrum network.



control field and data field of long distance and large coverage.


Phase1 (~10months): The feasibility and influence of interference and

coexistence system of Unlicensed spectrum’s long distance reliable control

and data transmission;

Phase2 (~8 months): Studying key technologies of Unlicensed spectrum’s long

distance reliable control and data transmission ， scenario analysis and

simulation data.



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HIRPO20160110: Cross-link Interference Mitigation for

Dynamic TDD


2 Subject: others


CIM: Cross-link interference mitigation

EIMTA: Enhanced Interference Management and Traffic Adaptation

3 Background

Dynamic TDD is a promising solution for higher spectral efficiency requirement

of 5G. It’s verified that adaptive reconfiguration of TDD configuration can

achieve obvious cell average throughput gain during LTE Rel-12 EIMTA.

However the gain of cell edge performance is not stable because of the limited

cross-link interference mitigation schemes between UL and DL (e.g. cell

clustering and power control). It can be foreseen that more flexible resource

allocation is necessary for some 5G scenarios (e.g. dense urban, small cell)

where traffic demand may vary dynamically in volume and in transmission

direction. Applying dynamic TDD in a multi-cell scenario may lead to new

challenges caused by severe cross-link inter-cell interference. Then effective

CIM schemes are worth further research work to enable dynamic TDD

especially for multi-cell scenarios with continuous coverage.


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4 Scope

Research on CIM for dynamic TDD can include the following topics but not

limited to:

Advanced algorithms for cross-link interference mitigation for data

transmission between DL/UL, including interference measurement,

distributed/ centralized inter-cell coordination with power control,

beamforming, advanced receiver etc.;

Symmetric design between DL and UL, including low cross-correlation

reference signal (based on same waveform (OFDM for DL and SC-FDMA

for UL in LTE)) and so on;

Simulation including link-level and system-level with reasonable modeling.


Technical reports of survey of dynamic TDD and interference

management;

Technical reports of CIM solution design for dynamic TDD including

algorithm design and performance evaluation;

Dynamic TDD with CIM simulation platform with source codes and

description;

1~2 Invention/patents;

1~2 paper.


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High-quality research report with clear algorithm design and simulation

evaluation with at least 20% Tpt gain (both cell average and edge

performance);

IPR meets the requirement.


Phase1 (~3 months): Survey the state of the art of dynamic TDD with CIM and

provide the related technical report;

Phase2 (~5 months): Research on effective CIM relative algorithm design with

simulation evaluation (e.g. Link level);

Phase3 (~4 months): Research on effective CIM relative algorithm design with

system-level simulation and IPR/paper.


样例-Design%20Massive%20MIMO%20for%20Energy%20Efficiency%20V2.docx#




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HIRPO20160111: Codebook Design for FDD Massive

MIMO


2 Subject: new sir interface technology


CSI: Channel state information

3 Background

Massive MIMO is one of the key techniques that can boost system capacity

and improve cell coverage in 5G. To fully exploit spatial multiplexing gains and

array gains brought by Massive MIMO, channel knowledge at the transmitter is

needed for designing precoding vectors. In TDD systems, channel state

information (CSI) is obtained via uplink channel estimation, where the

accuracy of CSI can be guaranteed by channel reciprocity. While in FDD

systems, the CSI can only be estimated at the receiver and feedback to the

transmitter. In order to make feedback overhead acceptable, the CSI is

quantized with a set of predefined vectors/matrices, which is called codebook

in LTE.

In practical, it is difficult to obtain CSI with high precision in FDD massive

MIMO systems. On one hand, using current constant modulus codebook in

LTE only captures partial information of channel and lost other information.

Non-constant modulus codebooks may have better performance, while

increasing the overhead and introducing PA power imbalance problems. On

the other hand, feedback overhead becomes large as the antenna number


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grows, especially in FDD massive MIMO. Thus, it is hard to guarantee the

quantization accuracy while maintain the size of codebook acceptable.

Codebook design for FDD massive MIMO is still an open problem. How to

balance the performance and the feedback overhead of the system is

deserved to be studied.

4 Scope

Research on codebook design for FDD massive MIMO: Design new

codebook for FDD massive MIMO to improve the system performance with

acceptable feedback overhead. Specific channel characteristics of massive

MIMO or statistical channel information can be used to design the codebook.

Special considerations for cross polarized antennas are preferred.


Technique reports of analysis for constant modulus and non-constant

modulus codebook in FDD massive MIMO;

Technique reports of new codebook design for FDD massive MIMO,

including theoretical analysis, proposed solution(s) and the performance

simulation of the scheme;

Simulation platform with source code and description to verify the

performance of proposed solution;

1~2 Inventions/patents.


The proposed codebook for FDD massive MIMO should be verified by system

level simulation including both single user beamforming and multi-user


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beamforming with slight capacity loss (less than 20%-30%, antenna

number>64) compared with the TDD systems;

The incremental feedback overhead should not exceed 30% compared with

the overhead of existing codebook in LTE.


Phase1 (~3 months): Survey the state of the art of codebook design in FDD

massive MIMO, analyze pros. & cons. of the existing codebook design criterion

and provide the related technical report;

Phase2 (~6 months): Research on potential schemes of codebook design and


Phase3 (~3 months): Research on the proposed codebook and give analysis

on performance and feedback overhead, do the system level simulation and

do the patent application.



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HIRPO20160112: High Resolution CSI Feedback for

Massive MIMO Systems


2 Subject: new air interface technology


CSI: Channel State Information

3 Background

Massive MIMO is one of key techniques to improve both spectral efficiency

and energy efficiency of the system. To fully utilize the spatial multiplexing

gains and the array gains of massive MIMO, knowledge of channel state

information at the transmitter is essential. In TDD systems, the CSI can be

obtained by exploiting the channel reciprocity using sounding. In FDD system,

the CSI has to be obtained through UE measurement and reporting. In realistic

system, as the antenna number is increasing, the performance gap between

TDD MIMO system and FDD MIMO system using traditional phase-only

quantization and feedback mechanism proposed in LTE is becoming larger.

The reason is that the codebook or the CSI can just capture partial information

of channel and lots of important information is lost. Compared with traditional

MIMO systems, the issue of channel acquisition is much more challenging in

massive MIMO systems due to the tremendous channel dimension. Hence, a

new CSI acquisition framework with high channel resolution and low overhead

should be investigated to resolve this problem.


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4 Scope

Research on the High Resolution CSI acquisition framework of massive

MIMO systems: design the new channel quantization and feedback

mechanism to improve the performance for FDD massive MIMO systems.


Technique reports of vary CSI feedback mechanisms and analysis for FDD

massive MIMO systems;

Technique reports of high resolution CSI feedback design, including

theoretical analysis, proposed solution(s) and the performance simulation

of the scheme;





The proposed CSI acquisition mechanism for FDD massive system should be

verified by system level simulation including both single user beamforming and

multi-user beamforming with slight capacity loss (less than 20%-30%, antenna

number>64) compared with the TDD system;

The feedback overhead should be less than 20% of uplink capacity of the FDD

systems.


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Phase1 (~3 months): Survey the state of the art of FDD massive MIMO in CSI

acquisition field, analyze pros. & cons. of the existing CSI feedback

mechanisms and provide the related technical report;

Phase2 (~6 months): Research on high resolution CSI feedback design and


Phase3 (~3 months): Research on the proposed high resolution and low

overhead CSI acquisition mechanism, do the system level simulation and do

the patent application.



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HIRPO20160113: Coordination Schemes in High

Frequency Bands




SE: Spectral Efficiency

EE: Energy Efficiency

CoMP: Coordinated multi-point

3 Background

Next-generation mobile systems are broadening their spectrum to

higher-frequency bands (above 6 GHz) to support a higher data rate up to

multigigabits per second. The high frequency spectrum offers many

advantages for wireless communication systems such as broad bandwidths for

high data rate information transfer, higher directivity and spatial resolution, low

probability of interference due to narrow antenna beamwidths, and etc. In

addition, the small size of antennas and antenna spacing at high frequency

(e.g., the mmWave frequencies) make the massive MIMO, which is identified

as one of the breakthrough technologies for 5G, a suitable beamforming

technology for transmission points in high frequency bands. However, the

severe loss property of high frequency bands compared with low frequency

bands poses a serious challenge for providing seamless connectivity.

Furthermore, the use of narrow beamforming makes it challenging to support

mobile devices, due to the link outages caused by antenna beam misalignment


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resulting from the mobility of users. This motivates the coordination among

multiple transmission points in high frequency bands, aiming at improving the

coverage probability, transmission reliability and user experience. Different

from traditional CoMP operations, the coordination in high frequency bands

should be in the context of massive MIMO, i.e., the multi-point coordination

would evolve to be a kind of beam-directed coordination. Therefore, efficient

coordination schemes applicable to high frequency bands with high

transmission reliability and coverage probability should be investigated to

resolve the issues brought by high frequencies.

4 Scope

Research on the coordination schemes in high frequency band: design

efficient coordinating multi-point transmission schemes according to the

characteristics of higher frequency band to improve the coverage, the

transmission reliability and user experience.


Technique reports of potential issues associated with coordinated

multi-point operation and analysis in high frequency bands;

Technique reports of efficient coordination schemes design in high

frequency bands, including theoretical analysis, proposed solution(s) and

the performance simulation of the scheme;





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The proposed coordination schemes should be verified by system level

simulation with obvious improvements on coverage probability, transmission

reliability and user experience compared with non-coordinated systems in high

frequency bands.


Phase1 (~3 months): Survey the state of the art of coordination schemes in

CoMP field and potential issues associated with the coordinating transmission

or distributed (massive) MIMO in high frequency bands, analyze pros. & cons.

of the existing coordination schemes in the light of the characteristics in high

frequency band, and provide the related technical report;

Phase2 (~6 months): Research on efficient coordination scheme design and


Phase3 (~3 months): Research on the proposed coordination schemes, and

do the responding system level simulations and patent applications.



42

HIRPO20160115: Research on Radar Technology

Application in Wireless Communication


2 Subject: others

3 Background

There are too many similarities between wireless communication and radar

technology. Wireless communication focuses on coverage and throughput

enhancement. Radar technology focuses on target detection.

So we are wondering if we can improve wireless communication system

performance based on radar technology.

4 Scope

Whether we could get some extra information like3D geometry/ distance/

crowd density/ crowd flow … by radar technology? Based on the information

above we could improve wireless system performance.

Study the application scenario and feasibility of radar technology in wireless

communication system.


Give a feasible application scenario solution and proof.


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Provide the design that can work in wireless communication system, show the

effectiveness of the proposed method by simulation. Theory clarification and

simulation of the performance improvement using proposed sensing method

compared to the legacy method is required.


Phase1 (~6 months):

Give a brief overview of possible application scenario by radar technology;

Give the basic idea of proposed method, and provide first round simulation to

show the effectiveness;

Theory clarification of the performance improvement using proposed sensing

method compared to the legacy method;

Phase2 (~6 months):

Detail algorithm optimization;

Simulation verification for different simulation cases;

Simulation of the performance improvement using proposed sensing method

compared to the legacy method.



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HIRPO20160116: High Precision Beam Antenna

Design


2 Subject: antenna

3 Background

Inter-cell interference is the key factor that affects the performance of cellular

wireless communication system. To design the high-precision-beam antenna,

so that the transmitted signal of one cell is almost not to leak into its adjacent

cell, is an effective way to reduce inter cell interference.

4 Scope

To design the high-precision-beam antenna, so that the transmitted signal of

one cell is almost not to leak into its adjacent cell.


The Design of High-Precison-Beam Antenna;

Antenna prototype.


Antenna prototype verification.


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Phase1 (~6 months): Give the basic idea of proposed method, and provide

simulation to show the effectiveness;

Phase2 (~6 months): Give the antenna prototype.



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HIRPO20160117: Positioning Technology Research

1 Theme: Wireless communication Technology

2 Subject: location technology


IOT: Internet of Things

LOS: Light Of Sight

NLOS: Not Light Of Sight

3 Background

Positioning has attracted the research institute and industry to deserve the

high precision of indoor poisoning. However, the precision of point could not be

satisfied the real need because of the measurement algorithm such as

TOA/AOA in NLOS scene.

Meanwhile, Cellular-based Internet of Things (IoT) technologies have become

an important branch of Internet of Everything (IoE). Based on existing wireless

networks, IOT provides better network coverage for thing-to-thing

communications, supports more connections, and lowers power consumption.

Therefore, IOT meets the application requirements in industrial, public,

personal, and home domains. Such applications include smart water/gas

metering, municipal light and waste management, livestock breeding and

irrigation, and environment monitoring. A large number of sensor network, also

formed the demand for object positioning.

One of the above research points will be approved.


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4 Scope

For IoT:

Solve the IoT terminal high precision positioning problem of the IoT

communication system. Including but not limited to the 3 GPP, the IEEE

standards organization related IoT technology, etc.

Limitation:

Outdoor scenario & NLOS condition;

Different basestation spacing configuration (200 m/500m/ect) affection;

Performance enhancement in narrow bandwidth like 200kHz;

Performance enhancement in typical antenna number like 1/2/4;

Number of basestation involved in localization algorithm is less than 4;

Target: Outdoor positioning accuracy: 30 meters on average.

For LOS/NLOS:

Either outdoor or indoor scenario is approved;

Target: Discrimination Algorithm for LOS and NLOS,and the accuracy is 3m

and 30m for indoor and outdoor respectively.


For IoT:

3 technology research reports;

Localization algorithm simulation code;

Localization algorithm prototype verification system.

For LOS/NLOS:


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Research report documents, including discrimination algorithm for LOS and

NLOS, the position method for LOS/NLOS scene;

Relevant Patent;

Simulation code and analysis for the result.


For IoT:

Simulation and prototype test, meet the positioning accuracy of 30 meters on

average.

For LOS/NLOS:

Technique report discrimination probability should be more than 90%, and

meet the positioning accuracy.


Phase1 (~6months): Delivery technology research report and the localization

algorithm simulation code;

Phase2 (~6 months): Deliver prototype verification system and test report.



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HIRPO20160118: UE-centric Small Cell Network

Research and Design


2 Subject: algorithm

3 Background

Dense small cell is a trend for further cellular network. The features of dense

small cell include:

ISD: 20~50m;

Low transmit power: ~100mw;

High user load.

Current LTE cellular network is based on BS-centric framework. The high

interference under dense small cells from co-channel neighbor cell worsens

the user performance. The edge user throughput is far below the centre user

throughput. How to improve the service experience of cell edge users is a top

challenge of dense small cell.

4 Scope

Research on UE-centric framework innovation, including small cell

basestation architecture, radio resource algorithm architecture and etc.;

Research on acceptable complexity UE-centric radio resource algorithm

innovation, including transmit and receive node selection, coordinated

radio resource allocation and power control, coordinated interference

cancellation and interference control technology etc. With the increment of


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the number of basestations and cooperation nodes, the computational

complexity is linear growth;

Develop practical implementation schemes to apply the above techniques.

Performance analysis and simulation are needed.


Technique report;

Patent;

Simulation platform.


Remarkable throughput improvement both for center user and edge user;

The whole system design satisfies a good balance between cost and

performance.


Phase1 (~5 months): Techniques analysis and scheme design;

Phase1 (~7 months): Algorithm simulation and verification.



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HIRPO20160119: Spatial Channel Estimation Research

for mmWave Massive MIMO System



3 Background

Channel status information acquisition is a key technology for mmWave

Massive MIMO system, both for uplink equalization and downlink precoding.

The traditional time and/or frequency filtering algorithms provide poor estimate

performance in low SNR condition. Beam domain channel estimation by

limited fix beamforming achieves limited direction channel information. Spatial

channel estimation represents the channel as a set of beams with different

direction of arrival/departure. With the aid of large amount antennas in

mmWave massive MIMO system, the accurate DOA, latency and amplitude of

each direction can be obtained to construct the complete spatial channel

information.

4 Scope

Spatial channel estimation method research for mmWave Massive MIMO

system;

Robust spatial channel parameter estimation, such as DOA(azimuth and

elevation), amplitude and latency.


Technique report; Patent; Simulation code.


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Remarkable estimation performance improvement compared with

time-frequency filter method;

Robust spatial channel parameter estimation performance, and well

tradeoff between performance and computing burden.


Phase1 (~6 months): A survey of spatial channel estimate algorithms and

overall estimation methods design;

Phase2 (~6 months): Complete spatial channel estimation algorithm and

related parameter estimator design.



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HIRPO20160121: Energy Proportional

eNodeB/Network for LTE-Advanced and Beyond


2 Subject: energy saving


CA: Carrier Aggregation

LAA: License Assisted Access

AAS: Active Antenna System

DTX: Discontinuous Transmission

FD-MIMO: Full Dimension Multiple-input Multiple-output

3 Background

LTE energy saving technologies have been extensively studied in several

energy efficiency research projects during past years, such as power adaptive

transceiver, cell DTX, bandwidth adaptation, antenna muting, Inter-RAT/eNB,

small cell on/off, etc. The power consumption of latest base station can be

adaptable with traffic variation to some extent, but still consume significant in

low traffic hours and active idle mode. Usually base station need longer wake

up time for lower power consumption mode. In order to guarantee quality of

service, the opportunity of entering deep energy saving mode will be reduced.

So deep sleep capability with shorter wakeup time will be main contribution for

energy proportional base station.


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Due to the current access and control protocols, base station can’t discover

the idle user in the cell or site. Conventional cellular network energy saving

techniques by switching off cell or site reducing the network coverage will

result in cell reselection or out-of-service for idle UE. Once the base station

enter the switching-off mode, it cannot probe the user which move toward it

and can’t be recovered and associated with UE, which will degrade the user

experience. Thus, the cell switching off cannot apply in real network, especially

in indoor scenarios which has only one coverage layer. Considering the

evolutional ultra density network which will be characteristic of density access

node, multi-hop transmission, diverse backhauling, it is a big challenge to

energy saving management. Furthermore, Future RAN network architecture

evolution has introduced many new concepts, such as control-data-separation,

virtual cell, software defined RAN, user-centric network. Based on the Future

RAN network evolution, it is important to develop flexible mechanism and

energy saving management to make network resource allocated

on-user-demand, and network node flexible activated/deactivated. So that the

power consumption of network will be proportional of the traffic.

4 Scope

Research on how to achieve energy proportionality for eNodeB/Network with

minimal power consumption on active idle mode to around 1%~10% of

maximum power consumption, considering new features and trends

introduced in LTE-advanced network and beyond.

Base Station deep sleep and fast wakeup technologies: To develop power

consumption model on functional unit level for multiple base station type (e.g.

RRU, AAS, MIMO, Small cell). Focus on dynamical capability analysis of

hardware components and sub-components, especially on small signal RF,

digital processing and power supply unit which have higher ratio of power


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consumption during low traffic. To analyze the deep sleep opportunity and

potential minimum boundary of power consumption for active idle mode. To

solve the challenge of fast wakeup (ns~μs for component, ms~s for system) for

hardware and software design.

Network dynamic energy saving technologies: To develop dynamic energy

saving technologies for multiple frequency heterogeneous network,

considering RAN architecture evolution (e.g. dual connectivity, Carrier

Aggregation, LAA, control-data- separation architecture, cloud RAN, software

defined-RAN, etc. ). Combining with low power and on/off capability analysis of

hardware components, to research on optimal sleep/wakeup mechanism and

resource scheduling algorithms, maximize time of different energy saving

status while maintaining guaranteed performance/QoS constraints.


Project 1：Base Station deep sleep and fast wakeup technologies

Power consumption model on functional unit level (including low power mode);

Low power idle and fast wakeup technologies research report (including

maturity, pros/cons, innovation, design solutions);

1~2 patents.

Project2：Network dynamic energy saving technologies

Dynamic energy saving analysis and design solution for multi-frequency

heterogeneous network;

Energy aware resource scheduling algorithm and simulation;

1~2 patents.


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According to technical analysis or simulation, energy consumption of base

station/network should be proportional with traffic variation. Power

consumption on active idle mode should be 1%~10% of maximum power

consumption with guaranteed performance/QoS constraints.


Expected project Duration (year): 1 year.



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HIRPO20160122: Group Delay Consistency in

Millimeter Wave Filter


2 Subject: IRF

3 Background

In order to realize wideband beamforming of phased array, it requires accurate

control of phase and group delay in each channel. Fluctuation of filter

transmission group delay will deteriorate the performance of phased array, and

it is impossible to compensate the group delay when they are different from

each other for different channels. It is a valuable research direction to explore

an effective way to realize filter with consistent group delay response.

4 Scope

Research on new filter model and scheme to decrease the group delay ripple

in passband, and improve the temperature drift;

Research on new processing technique to improve the batch consistency.


Technical reports of new filter scheme to control group delay variation, it

should include designing details and comparative analysis;

Testing results of new processing technique;

1~2 patents.


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The central frequency is 20~40GHz, with 3~10% bandwidth, 40dB rejection at

the frequency 1GHz out of band. The group delay should have low variation

and be consistent between batches.


Phase1 (~3 months): Survey the state of the art of method to control filter

group delay consistency, provide possible method to control group delay and

simulation results;

Phase2 (~6 months): Detail design and fabrication, provide measurement

results;

Phase3 (~3 months): Provide technical report and apply for patent.



59

HIRPO20160123: Software Design of Automatic Layout

of Filter Cavity


2 Subject: IRF

3 Background

In the process of filter evaluation and designing, manually layout of filter cavity

has occupied great proportion of time, and the area utilization ratio and layout

topology has basically determined the performance of the final filter. To

improve the filter evaluation efficiency and achieve the optimal filter layout, it is

expected to develop automatic layout software to obtain reasonable cavities

distribution in much shorter time.

4 Scope

Based on filter layout requirement, investigate algorithm of optimized

layout to meet the coupling topology;

Program software to realize automatic layout of filter cavity.

The problem of cavity layout can be described as how to maximize the cavity

radius in a given area with specific number of cavity. Additional limitations

include:

The first and last cavities should be in the vicinity of TX/RX and DIN

connectors;

Every two coupled Cavities should be adjacent to each other;

Each cavity should not overlap with other cavities;


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All cavities should be confined in the specific layout area;

There are screw holes in the layout area, which is forbidden to place

cavities;

The radius of cavity should be as big as possible.


Automatic layout software and its source code;

Optimization algorithm;

Technical report.


Automatic layout software, achieve optimal cavity layout with the above

limitations.


Phase1 (~3 months): Research on layout algorithm under the conditions of

specific layout area, fixed position of the first cavity, designated cavity radius

and number;

Phase2 (~6 months): Realize automatic layout of 2T2R duplexer. Realize

automatic layout of 2T2R duplexer with fixed TX/RX/DIN connectors;

Phase3 (~3 months): Based on phase3, optimize automatic layout of 2T2R

duplexer, meeting PIM and high power design requirements.



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HIRPO20160124: Antenna Attitude Determination


2 Subject: antenna

3 Background

Antenna alignment has a very big impact in wireless network coverage and

capacity. To obtain real-time attitude information of the antenna is important for

optimization and maintenance of the wireless network performance. An

antenna azimuth measured by sensors. To remotely and centrally read the

measurement results can greatly simplify the management and maintenance

of the antenna, reducing maintenance cost.

4 Scope

Develop a low-cost, small size antenna attitude measurement sensor device

for detecting the state of the antenna installation. Sensor device should have

good environment adaptability and the ability to cancel interferes exist in the

environment of antenna installation. And the sensor system does not need to

be calibrated artificial in the field.

Any type of transducer can be selected, but the above descriptions need to be

considered.

For example, if you select magnetic sensor:

The magnetic sensor as an azimuth antenna solutions with number of

advantages ,such as low cost, size, power consumption. But the presence of

the magnetic sensor needs to be calibrated, weak anti-interference ability and


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other bottlenecks, and the base station antenna installations usually there are

a lot of sources of interference to the magnetic field.

In order to make low-cost magnetic sensor technology which can be applied

with a base station antenna azimuth measurement products, the analysis of

low-cost magnetic sensor calibration, magnetic interference in base station

antenna module application environment, and the sensor interference in noisy

environments is needed.


Antennas attitude sensor interference model research report;

The antennas attitude sensor anti-interference solutions report;

The antennas attitude sensor prototype and related schematics, software

code;

1-2 patents.


Heading accuracy 5 RMS;

Free manual calibration on field applications;

Low-end civilian sensor;

Low cost.


Phase1 (~6 months): Interference source analysis in base station antenna

scenarios, and reports;


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Phase2 (~6 months): Calibration technology research, anti- interference

design, and completed the prototype development.



64

HIRPO20160125: Boradband Dual Polarization

Radiator with Asymmetric Pattern


2 Subject: antenna

3 Background

In general, the desired radiating power of base station antenna is below the

plane of the horizon. In this sense, the pattern of radiator elements in elevation

plane should be asymmetric. The asymmetric pattern can benefit both the gain

and side-lobe suppression when work at big tilt angle.

4 Scope

The asymmetric pattern will lead to poor isolation and stronger

cross-polarization fields for dual polarization elements. So how to design the

asymmetric pattern while remain high isolation and cross polar ratio at main

direction is the keypoints.


Design and simulation reports;

Prototype of an element in the specified reflector;

Patents.


Bandwidth: 1710-2690MHz;


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The level drop:

<1dB at normal direction of reflector;

>5~6dB at 30o upward;

>12~15dB at 60o upward.


Phase1 (~4 months): The simulation is finished and the feasible scheme has to

be determined;

Phase2 (~3 months): Finish the first version of prototypes and the

s-parameters and pattern test;

Phase3 (~5 months): Finish the final version of prototypes and the

s-parameters and pattern test.



66

HIRPO20160126: Small Size and Low Loss Combiner

with Triple Frequency Bands


2 Subject: antenna

3 Background

Base station antenna is currently developing along multi-frequency and

multi-array tends. Therefore, the combiner is usually needed to realize the

signals’ combination and output. However, the existing combiners are

produced with larger size and higher loss due to the limited technology. For the

compact antenna, these kinds of combiners are difficult to achieve an

appropriate layout and large quantity of production.

4 Scope

The small size combiner with triple bands is needed to design with

suspended stripline;

Low loss;

The combiner in different band is required to be distributed in three

separate cavities.


1-2 pieces of important patents;

Reports contains but not only test report and research report;

Designed scheme and reports;


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Instruction of test scenario and test solution;

Other report after communication.


Single cavity size: Width ≤32mm & Length≤50mm &Height≤6mm;

Working band: Three bands between (1710-2690) MHz), adjacent nearest

bandwidth ≤50MHz;

Loss : ≤-0.4db;

VSWR: ≤1.3;

ISO: ≤-25db.


Phase1 (~5 months): Report the associated research of the project and

feasible solution; Report the result of simulation with software;

Phase2 (~5 months): Make the prototype of antenna, test it and optimize;

Phase3 (~2 months): Finish the patents and the whole reports.



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HIRPO20160127: Decoupling Network


2 Subject: antenna


BSA: Base station antenna

UWB: Ultra wide band

HBW: Horizontal beamwide

deg: degree

XPD: Cross-polar ratio

FBR: Front to Back Ratio (within 180deg+/-30deg)

VSWR: Voltage Standing Wave Ratio

ISO: isolation

3 Background

As the size of base station antenna is required smaller and smaller, to improve

the isolation becomes more and more challenging.

4 Scope

A 4-ports feeding network, added to tow dual-polarized radiators which work in

1710-2690MHZ to improve the isolation between radiators without radiation

performance reduction.

Improve the isolation between radiators by adding the decoupling network;


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The network realized in PCB;

No impact on radiation pattern.


1-2 pieces of important patents;

Reports contains but not only contains test report and research report;

Designed scheme and reports;

Instruction of test scenario and test solution;

Other report after communication.


Specifications

Network requirements:

Isolation improved by the network;

Small insertion loss;

Realized in PCB, size< 80mm*80mm;

VSWR<1.25.

Frequency band; 1710-2690;

Ports number:4;

Radiators:

Compact radiator spacing;

+/-45 degree dual polarization;


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Radiation pattern: few changing with the network (Gain, HBW, VBW

and F/B etc.).


Phase1 (~3 months): Report the associated research of the project and

feasible solution, Report the result of simulation with software;

Phase2 (~6 months): Make the prototype of antenna, test it and optimize;

Phase3 (~3 months): Finish the patents and the whole reports.



71

HIRPO20160128: High Speed T/H Circuit Research

1 Theme: Wireless communication technology

2 Subject: IRF

3 Background

During the last few years the demand on high-speed data acquisition systems,

has grown significantly. However modern millimeter-wave communication

system is limited by the sample bandwidth and working frequency of the ADC,

if high speed ADC can be realized, digital equalization is more robust, scalable

and offers more flexibility , which also lead a new design technique to the

transceiver’s structure , but high speed ADC is difficult to design.

The design of a high speed track and hold circuit is a good resolution. High T/H

circuit can be usefully applied in data acquisition systems, as a presampler in

front of the ADC, in order to improve the high-frequency performance of the

ADC, or several parallel analog inputs can be multiplexed using multiple T/H

circuits in front of the ADC.

The research of the high speed T/H circuit is good to decrease limitation of the

ADC in system. With a high T/H circuit, the transceiver can use a low speed

ADC to achieve high speed data transmission instead of high speed ADC,

which also offers a new way to design the transceiver’s structure, lower the

cost and complexity of the communication system.

4 Scope

(1) Research the feasibility of the T/H circuit:


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Survey of the existed T/H circuit structure and analyze the feasibility of these

structures which would be used in high speed applications and be suitable for

the millimeter-wave applications;

Analyze the T/H circuit in different process, analyze the merits and demerits in

different process.

(2) Design the high speed T/H circuit:

Design a high speed T/H circuit to meet the demand of high frequency data

converter system;

Design and simulate in a suitable process;

Target performance of the T/H circuit is listed below:

3dB BW=0~12GHz;

Sample clock= 6GHz;

SFDR=-50dB@1dBFs;

Output port number>=2.


Report of the Survey and analysis of the T/H circuit;

The T/H circuit simulation report;

Patents or papers.


The survey report should include the comparison of the different process, the

simulation result should meet the demand of high speed and millimeter-wave

applications.


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Phase1 (~4 months): Research the feasibility of the T/H circuit;

Current achievement: Survey of the existed T/H circuit structure and analyze

the feasibility of these structures which would be used in high speed

applications;

Output: Report of the Survey and analysis of the T/H circuit;

Phase2 (~12 months): Design the high speed T/H circuit;

Current achievement: Design a high speed T/H circuit to meet the demand of

high frequency data converter system. Design and simulate in a suitable

process;

Output: The report of T/H circuit simulation.



74

HIRPO20160129: Research on Lens Antenna with

Phased Array Feeder


2 Subject: IRF


PAA: Phased Array Antenna

3 Background

Higher than 30GHz spectrum is getting more popular in last 5 years, especially

in 60GHz and E band. Broad bandwidth offer great chance for business and

consumer opportunity in the future. In order to compensate high propagation

loss, high gain antenna with steering capability is appreciated.

Conventional phased array can fulfill the antenna requirement, but

consequently the hardware complexity, calibration process, cost and power

efficiency make it hard to deploy in commercial application.

Compared with Phased array antenna using each hundreds or thousands

radiators, Lens antenna (e.g. Dielectrical lens, Artificial planar lens) using

passive structure with focusing capability to achieve antenna gain, which make

system complexity not tightly related with gain. Conventional steering feature

of lens antenna is based on feeder switching. But continuous steering is not

easy to achieve when lens antenna gain is higher than 30 dBi.

Novel lens antenna is demanded to keep the benefit of it intrinsic multi-beam

capability and solve incontinuous beam steering issue when high gain system


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is required. Lens antenna with phased array antenna (PAA) feeder would be

attractive candidate.

4 Scope

Research about lens antenna with phased array feeder:

1) Theoretical model of lens antenna with phased array feeder(math or EM

model);

2) Lens style selection for working with PAA feeder;

3) PAA feeder design methodology;

4) Related beam-forming algorithm;

5) Related design and EM simulation.

Target antenna specs：

Requirements Description

Frequency 71~76GHz

Gain ≥33dBi

Steering range ±30° elevation and horizontal

Steering step ≤BW3dB

Radiator elements ＜100

1) ~4) with high priority.


Survey report and Feasibility study analysis;

Theoretical model analysis of antenna operation;

Antenna design methodology includes lens selection, array distribution and

Beam-forming method;


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Target design documents and simulation.


Document deliverable: Survey and analysis document in each phase is

complete and pass Huawei acceptance team review;

IPR: 1 patent.


Phase1 (~3 months): Survey and feasibility analysis documents;

Phase 2 (~5 months): Theoretical model and analysis or basic methodology

document;

Phase 3 (~4 months): Lens and PAA feeder detailed design and Related

beam-forming method, which should including design document and EM

simulation, and patent idea.



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HIRPO20160130: M-MIMO High DR RoF


2 Subject: IRF


M-MIMO: Massive Multiple-input Multiple- output

RoF: Radion over Fiber

DR: Dynamic Range

3 Background

The performance of RoF device or components is not enough to the 5G

wireless application in future.

High performance Radio-over-Fiber Link to support massive MIMO should be

research.

A high-performing, wide-bandwidth, high-dynamic range optical link are

extremely demanding.

4 Scope

1) Dynamic range is not enough for wideband RF modulated signal

transmission;

For wireless application, the ACLR of RoF should be over 60Db, now just

reach 52dB in the same condition.


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Research the solution to improve the DR in order to reach the requirements

maybe including: new Hardware (for example new optical device, etc); new

software method (for example new pre-distortion algorithm, etc).

2) Reduce the fiber number;

For massive MIMO application, there are 64 or more RF channel to work at the

same time, so too many fiber are need to transfer the TR signal between Radio

Remote Head and indoor instruments. The number of fiber of whole system

should be less than 4.

Research the solution to reduce the number of fiber of ROF in Massive MIMO

system at the same time reach the DR requirement.


Study some new RoF technology or method to reach below specification:

Frequency range 3.4GHZ~4.2GHz;

Dynamic range: ACLR<-60dBc @ 10*20MHZ LTE carrier;

Patent idea for new RoF technology.


For deliverables as ROF high DR technology study and report, the acceptance

criteria are that good analysis and research on high DR ROF;

For deliverables as patent idea, the acceptance criteria are that good idea for

new RoF technology;

All the deliverables should be passed the review of TRB in Huawei.


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Phase1 (~6 months): Research the high DR technology based on the system

spec. Delivery the report of ROF (Specifications and Assessment include:

identify the emerging technologies which can meet the ROF link performance

requirement) and technical solution for high DR ROF;

Phase 2 (~6 months): High level design for High DR RoF and patent idea.

Delivery the RoF high level design solution and 2 patent ideas.



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HIRPO20160131: Study of Wireless Propagation

Characteristics and Its Impact on System Performance

for 5G New Scenarios



3 Background

With the explosive growth of mobile traffic data demand, the Fifth-generation

system (5G) would exploit high frequency, large bandwidth and Massive MIMO

techniques. Recently it is the critical stage for 5G to achieve the key

technology breakthroughs and standard finalization. The study of key

technology performance for typical deployed scenarios becomes very

important and urgent. The propagation characteristics and models are the

basis and important tools for the design and performance evaluation of

communication systems. Due to the requirement of diversity deploy scenarios

of 5G, especially for the application of dense small cells in dense urban

scenario, the choice of scenario for channel measurement becomes more and

more crucial.

New typical Scenarios for 5G are included:

Machine to Machine Communication Scenario;

Inter-eNB/ Inter-UE/ Intra-UE interference scenarios for flexible full duplex;

Dense Urban 3D High Building Scenario.


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4 Scope

In order to evaluate system’s performance precisely under 5G new scenarios

above, wireless propagation characteristics for the new scenarios must be

studied firstly. Hence, this study aims to analyze the wireless propagation

characterizations and affection for the 5G new scenarios above.


One scenario of the above three scenarios can be selected, giving the

literature survey of the selected scenario’s propagation characteristics;

The technical research report on propagation characteristics for the new

scenarios.


Provide reports and papers including the simulation or analysis results about

channel characteristics of new scenarios, also including the impaction of these

characteristics to 5G communication systems. Herewith, it should be noted

that one can focus on one (but not limited to) scenario.


Phase1 (~6 months): Giving the literature survey of the new scenario’s

propagation characteristics;

Phase2 (~6 months): Study the channel characteristics in the new scenarios.

Estimate MIMO capacity performances for the specific scenario based the

channel characteristics.



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HIRPO20160132: Study of Novel Wireless Channel

Characteristics Prediction, Grouping Method


2 Subject: others

3 Background

Modern wireless communication networks can be considered as large,

evolving distributed databases full of context and information available from

mobile devices, base stations and environment. The wireless channel data in

various scenarios including large scale and small scale parameters are one of

the important and useful data could used for analyzing and making predictions.

There are many challenges in terms of wireless channels for future wireless

communication systems, for example:

Numerous scenarios are considered for future wireless communication

systems, such as device-to-device (D2D) communications,

communications in the ultra-densely populated area, but the channel

measurements cannot be conducted in every scenario anywhere and lack

of these information will constrain the wireless system design;

Because of fast-changing conditions in some scenarios, the current

channel estimation algorithms may not accurate enough for these

applications.

Applying the state-of-the-art data mining and machine learning techniques for

readily available data from the wireless networks to predict missing information

is a good possible solution for the above-mentioned challenges.


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This project is the first step to this vision. Path-loss prediction is thought to be

crucial for enabling efficient and proactive resource allocation. And the

decisions on resource allocation are not only based on present channel state

information, but also on information about future propagation conditions. In

particular, the quality of service (QoS) experienced by mobile users can be

significantly improved if the information of future path-loss and interference

condition around the users is utilized for proactive resource allocation.

Furthermore, by applying classification and pattern recognition algorithm (such

as Fuzzy c-means algorithm) on wireless network and channel data, the

wireless scenarios can be categorized, therefore, different base stations can

select predefined parameters based on different wireless scenarios according

to automatic identification of network and channel data in actual network.

All in all, through this project, by applying data mining and machine learning

techniques, a reliable path-loss / interference and coverage map for current

and future wireless networks can be reconstructed and site specific channel

scenario classification can be performed which will enable future networks to

better utilize scarce wireless resources and improve the QoS for mobile users.

4 Scope

Reconstruct a reliable path-loss / interference and coverage map for

current and future wireless networks by applying data mining and machine

learning techniques;

Propose novel clustering algorithms and apply them in site specific

channel scenario classification;

Study the relationship between channel characteristics and system

performance.


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Select one problem above, and give the following deliverables to solve the

selected problem:

The literature survey of the selected problem’s state-of-the-art research;

The technical research report on the selected problem.


Provide reports and papers including the simulation or analysis results about

the selected problem’s solution.


Phase1 (~6months): Review the literature of the selected problem’s

state-of-the-art research;

Phase2 (~6 months): Study the selected problem, and give the technical

research report.


Documents

Call for Proposals - Huawei/media/CORPORATE/PDF/HIRP/2016--Wireless... · Call for Proposals Wireless Communication Technology HIRP OPEN 2016 . ... Unless otherwise agreed by Huawei