Topics for the MSCSP · PDF file– Matlab implementation and ... “Performance comparison of space time block codes for ... The millimeter wave massive MIMO channel is often modeled

Topics for the MSCSP

07/08/2017 Page 1

Research ProjectsAdvanced Research Projects

Winter Semester 2017/2018

Selection of topics and submission of topic sheets until

October 25, 2017.

07.08.2017 Page 2

Department of Electrical Engineering and Information Technology

Institute for Information Technology

Lab: Communications Research Laboratory

Head: Prof. Dr.-Ing. Martin Haardt

25.02.2016 Page 16

09.08.2017 www.tu-ilmenau.de/ei_ms_cspPage 1

Responsible Professor:Research Advisor:E-Mail:

Prof. Martin HaardtM.Sc. Jens Steinwandt [email protected]

• Description:In recent studies, it was shown that parameter estimation methods based on a sparse representation of the sensor measurements with an overcomplete basis composed of samples from the array manifold is an effective approach that allows for high resolution capabilities. The sparsity is enforced by imposing penalties based on the 1-norm. However, the estimation errors can be further reduced through a weighted regularization, which will be investigated in this research project.

• Tasks: - Understanding the concept of direction of arrival estimation- Study of sparsity-aware processing through regularization- Reproducing the results presented in the given reference

• References:[1] C. Zheng, G. Li, H. Zhang, and X. Wang, “An approach of DOA estimation using noise subspace weighted minimization,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process, 2011, pp. 2856–2859.

• Focus: 1 student theory & programming

Compressive Sensing Based DOA Estimation

•  Description: At the heart of the Big Data problem, capturing, managing, and processing large sets of digital information is becoming increasingly important. To this end, tensors and their decompositions provide powerful tools for the representation and the analysis of large multi-way datasets. In this project the successful student will gain an overview over techniques regarding large-scale PARAFAC tensor decompositions. A common approach is to divide a large tensor into a number of subtensors that are decomposed individually. In a subsequent reconstruction step the local results of neighbor sub-tensors are merged.

•  Tasks –  Literature study on tensor algebra and hierarchical tensor decompositions –  Implementation of the selected technique

•  References [1] V. Nguyen, K. Abed-Meraim, and N. Linh-Trung, “Fast tensor decompositions for big data processing,” Proceedings of the 2016 International Conference on Advanced Technologies for Communications (ATC), pp. 215–221, October, 2016.

[2] T. G. Kolda and B. W. Bader, “Tensor decompositions and applications,” SIAM Rev., vol. 51, no. 3, pp. 455–500, 2009.

[3] A. Huy Phan and A. Cichocki, “PARAFAC algorithms for large-scale problems,” Neurocomputing, vol. 74, no. 11, pp. 1970–1984, 2011.

•  Focus 1 student theory / programming / hardware / measurements

Responsible Professor: Research Advisor: E-Mail:

Prof. Martin Haardt M.Sc. Mikus Grasis [email protected]

11.04.2017 Page 1

• Description:The SECSI framework calculates an approximation of the CP decomposition based on simultaneous matrix diagonalization. Moreover, the SECSI framework calculates multiple solutions in order to select the best and final solution. The different solutions are independent from one another and therefore the process of their calculation can be paralyzed, resulting in parallel implementation of the framework.

• Tasks– Literature study on tensor algebra and tensor decompositions.– Implementation of the proposed solution

• References[1] T. G. Kolda and B. W. Bader. “Tensor decompositions and applications”. SIAM, 51:455-500, 2009.[2] F. Roemer and M. Haardt, “A semi-algebraic framework for approximate CP decompositions via simultaneous matrix

diagonalizations (SECSI),” Elsevier Signal Processing, vol. 93 , pp. 2722–2738, Sep. 2013

Focus1 student theory / programming / hardware / measurements

Responsible Professor:Supervisor:

Prof. Martin HaardtKristina Naskovska

Parallel Implementation of the SECSI framework

08.08.2017 Page 1

• Description:

The NS-IDIEM and IDIEM algorithm is a closed form solution to the simultaneous matrix diagonalization problem. As a first step of this project the existing algorithm should be implemented in Matlab. Then the existing algorithms should be extended to a coupled problem, when two sets of matrices have at least one diagonalizer in common.

• Tasks– Literature study– Derivation and Implementation

• References[1] G. Chabriel and J. Barrere, “A direct algorithm for nonorthogonal approximate joint diagonalization,” IEEE Transactions

on Signal Processing, vol. 60, pp. 39–47, January 2012.

• Focus1 student theory / programming / hardware / measurements



Implementation of the NS-IDIEM algorithm and extension to the coupled diagonalization problem

08.08.2017 Page 2

• Description:Tensors provide a useful tool for the analysis of multidimensional data and have very broad range of applications such as compressed sensing, processing of big data, blind source separation and many more. Moreover, tensors and tensor decompositions have been used to describe various communication systems. Within the description of the communication systems arises a new tensor operation, a contraction or a multiproduct. This operations also defines the received signal via wireless channel. Therefore, we would like to investigate the contraction between two tensors, channel tensor and a GFDM transmit signal tensor.

• Tasks– Literature study on tensor algebra and tensor decompositions.– Derivation of the contraction operator– Matlab implementation and testing

• References[1] T. G. Kolda and B. W. Bader. “Tensor decompositions and applications”. SIAM, 51:455-500, 2009.[2] K. Naskovska, S. A. Cheema, M. Haardt, B. Valeev, and Y. Evdokimov, ``Iterative GFDM Receiver based on the

PARATUCK2 tensor decomposition,'' in Proc. 21-st International ITG Workshop on Smart Antennas (WSA), (Berlin, Germany), Mar. 2017




Contraction of channel tensor and GFDM transmit signal tensor

08.08.2017 Page 3

• Description:Tensors provide a useful tool for the analysis of multidimensional data and have very broad range of applications such as compressed sensing, processing of big data, blind source separation and many more. Moreover, tensors and tensor decompositions have been used to describe various communication systems. Within the description of the communication systems arises a new tensor operation, a contraction or a multiproduct. This operations also defines the received signal via wireless channel. Therefore, we would like to investigate the contraction between two tensors, channel tensor and a UFMC transmit signal tensor.


• References[1] T. G. Kolda and B. W. Bader. “Tensor decompositions and applications”. SIAM, 51:455-500, 2009.[2] S. A. Cheema, K. Naskovska, M. Attar, B. Zafar, and M. Haardt. “Performance comparison of space time block codes for

different 5G air interface proposals,'' in Proc. 20-th International ITG Workshop on Smart Antennas (WSA), (Munich, Germany)”. pp. 229 - 235.




Contraction of channel tensor and UFMC transmit signal tensor

08.08.2017 Page 4

• Description:Tensors provide a useful tool for the analysis of multidimensional data and have very broad range of applications such as compressed sensing, processing of big data, blind source separation and many more. Moreover, tensors and tensor decompositions have been used to describe various communication systems. Within the description of the communication systems arises a new tensor operation, a contraction or a multiproduct. This operations also defines the received signal via wireless channel. Therefore, we would like to investigate the contraction between two tensors, channel tensor and a FBMC transmit signal tensor.


• References[1] T. G. Kolda and B. W. Bader. “Tensor decompositions and applications”. SIAM, 51:455-500, 2009.[3] E.Kofidis, C. Chatzichristos and A. L. F. de Almeida, ``Joint Channel Estimation / Data Detection in MIMO-FBMC/OQAM

Systems – A Tensor-Based Approach,'' in Proc. of the 25th European Signal Processing Conference (EUSIPCO), 2017




Contraction of channel tensor and FBMC transmit signal tensor

08.08.2017 Page 5

• Description:Tensors provide a useful tool for the analysis of multidimensional data and have very broad range of applications such as compressed sensing, processing of big data, blind source separation and many more. Moreover, tensors and tensor decompositions have been used to describe various communication systems. Within the description of the communication systems arises a new tensor operation, a contraction or a multiproduct. This operator describes the received signal in MIMO OFDM relay-based communication systems.


• References[1] T. G. Kolda and B. W. Bader. “Tensor decompositions and applications”. SIAM, 51:455-500, 2009.[2] F. Roemer and M. Haardt, ``Structured least squares (SLS) based enhancements of tensor-based channel estimation

(TENCE) for two-way relaying with multiple antennas,'' in Proc. International ITG Workshop on Smart Antennas (WSA 2009), (Berlin, Germany), Feb. 2009

[3] B. Sokal, A. L. F. de Almeida, and M. Haardt, ``Rank-one tensor modeling approach to joint channel and symbol estimationin two-hop MIMO relaying systems,'' in Proc. XXXV Simpósio Brasileiro de Telecomunicacoes e Prosessamento de Sinais (SBrT 2017), (Sao Pedro, Brazil), Sept. 2017

• Focus 1 student theory / programming / hardware / measurements



One way relaying in OFDM MIMO systems based on contraction operator

09.08.2017 Page 1

• Description:In EEG data analysis, estimating the number of electromagnetic brain sources is a crucial first step and provides the input parameter for many source localization approaches. The multi-dimensional nature of EEG data gives rise to the interest in exploiting the benefits of tensor-based signal processing for model order estimation using EEG data.

• Tasks– Literature study on model order estimation for EEG data [1] and

tensor-based model order estimation for multi-dimensional harmonic retrieval [2]

– Applying tensor-based model order estimation algorithms on EEG data to estimate the number of sources

– Conducting performance comparison with the existing matrix-based schemes and developing extensions based on the performance evaluation

• References[1] Xiaoxiao Bai and Bin He, “Estimation of Number of Independent Brain Electric Sources from the scalp EEGs,” IEEE Trans. Biomed. Eng., vol. 53, no. 10, pp. 1883 – 1892, Oct. 2006.[2] J. P. C. L. da Costa, F. Roemer, M. Haardt, and R. T. de Sousa Jr., “Multidimensional model order selection,” EURASIP Journal on Advances in Signal Processing, 2011.



Prof. Martin HaardtYao Cheng

Tensor-based Model Order Estimation for EEG Data

08.08.2017 Page 1


Responsible Professor:Research Adviser:E-Mail:

Prof. Dr. -Ing. Martin HaardtDr. -Ing. Jianshu [email protected]

• Description:The millimeter wave massive MIMO channel is often modeled to have only a few scatterers. This motivates the use of non-linear estimation methods such as on-grid compressed sensing (CS) algorithms. Nevertheless, the on-grid assumption is impractical. When a frequency-selective channel is considered, the multi-dimensional model of the channel estimation problem has not yet been exploited.

• Tasks– Literature study of the existing current channel estimation methods– Implement and improve the performance of on-grid CS channel estimation methods, with the

focus oninfluence of practical channel models \ off-grid estimation methods \ multi-dimensional CSchannel estimation methods \ comparison of different CS methods

• References[1] A. Alkhateeb, O. E. Ayach, G. Leus and R. W. Heath, Jr., “Channel estimation and hybrid precoding for millimeter wave cellular

systems", IEEE J. Sel. Topics Signal Process., Oct. 2014.[2] J. Zhang, I. Podkurkov, M. Haardt and A. Nadeev, “Channel estimation and training design for hybrid analog-digital multi-carrier single

user massive MIMO systems”, in Proc. IEEE Int. Workshop on Smart Antennas (WSA), Munich, Germany, Mar. 2016.

Focus1 or 2 students, theory / programming / hardware / measurements / protocols

Channel Estimation Methods for Millimeter Wave Hybrid Massive MIMO Systems


Responsible Professor:Research Adviser:E-Mail:

Prof. Dr. -Ing. Martin HaardtDr. -Ing. Jianshu [email protected]

• Description:The massive MIMO technique provides a significant amount of MIMO gain for wireless communications. When the preferred channel propagation is not available, simple linear precoderand decoder, e.g., the maximum ratio transmission or combining, are not optimal any more. On the other hand, the extension of the traditional MIMO techniques to the massive MIMO setup will be computationally inefficient. Therefore, it is important to develop low complexity precoding schemes to achieve a balance between the complexity and the performance.

• Tasks– Literature study of the massive MIMO concept– Develop low complexity precoding and/or decoding schemes that make use of the specific

structure of the MIMO channel

• References[1] F. Rusek, D. Persson, B. K. Lau, E. G. Larsson, T. L. Marzetta, O. Edfors, and F. Tufvesson, “Scaling up MIMO: opportunities and challenges with very large arrays", IEEE Signal Processing Magazine., Jan. 2013.[2] A. Adhikary, J. Nam, J.-Y. Ahn and G. Caire, “Joint spatial division and multiplexing – the large-scale array regime”, IEEE Trans. Information Theory, Oct. 2013.

Focus1 or 2 students, theory / programming / hardware / measurements / protocols

Low Complexity Precoding and Decoding Schemes for a Multi-User Massive MIMO System



Division of Communication Networks

Head: Prof. Dr. rer. nat. habil. Jochen Seitz

Page 3

DescriptionSoftware-defined networking (SDN) is a physical separation of the network control plain from the forwarding plain. SDN is a new architecture that is manageable, cost-effective, adaptable and dynamic. Furthermore, SDN is suitable for a high bandwidth to enable today’s applications to perform well. This project aims to define proper work conditions for exchanging packets among hosts in SDN. Moreover, examining an impact of using an alterative path with each path request in order to transfer a traffic in out of the proper work conditions.

Tasks– Literature study on load balancing in Software-Defined Networks– Comparison of the investigated approaches for load balancing based on the said study– Implementation of the best solution in Mininet and comparison to the new approach developed by Mr.

Soliman

References[1] Verma, Deepak. Software-Defined Load Balancing over an OpenFlow-enabled Network. M.Sc. Thesis. 2017.[2] Mininet emulator, URL http://www.mininet.org/. URLhttp://mininet.org/. Version: 2017

Focus1 student theory / programming / measurements


Prof. Jochen SeitzAbdullah Soliman

A Load Balancing Method Based on SDN

08.08.2017 Page 1

DescriptionSoftware-defined networking (SDN) is a physical separation of the network control plain from the forwarding plain. SDN is a new architecture that is manageable, cost-effective, adaptable and dynamic. Hence, it is suitable for a high bandwidth to enable today’s applications to perform well. There are different kinds of packets that traverse among switches in SDN, thus the switches make a decision to forward the packets, drop them or update their state table. Nevertheless, the connection links among the switches could suffer of failure, thus the packets would be lost. Therefore, this project aims to find a new method to detect and recover from failure situations.

Tasks– Literature study on fault management in Software-Defined Networks– Comparison of the investigated approaches according to said study – Implementation of the most promising approach in Mininet and evaluation against a new approach given by Mr. Soliman

References[1] Mininet emulator, URL http://www.mininet.org/. URLhttp://mininet.org/. Version: 2017[2] Cascone, Carmelo ; Pollini, Luca ; Sanvito, Davide ; Capone, Antonio ; Sanso, Brunilde: SPIDER: Fault resilient SDN pipeline with

recovery delay guarantees. In: NetSoft Conference and Workshops (NetSoft), 2016, p. 296–302[3] Ahmed, Rufaida ; Alfaki, Ethar ; Nawari, Mustafa: Fast failure detection and recovery mechanism for dynamic networks using software-

defined networking. In: Basic Sciences and Engineering Studies (SGCAC), 2016, p. 167–170.



Prof. Jochen SeitzAbdullah Soliman

Fault Management in Software-Defined Networks

08.08.2017 Page 2

DescriptionVehicle-to-Vehicle (V2V) and Vehicle-to-Pedestrian (V2P) communication involves periodic transmission of safety and statusmessages. These both types of messages are always transmitted with the highest EDCA priority i.e. AC3. However, as safetymessages are more critical than status messages, status messages may be transmitted with lower priority i.e. AC2. The goal of thisproject is to survey different mechanisms for assigning variable EDCA priority and to evaluate V2V/V2P communication with mixedEDCA priorities. An urban LOS/NLOS intersection scenario, with varying high vehicle and pedestrian density, shall be simulated. Thisscenario shall be used to evaluate the network load under mixed EDCA priorities.TasksLiterature survey on variable EDCA priorities in V2V communication.Design and simulate urban intersection scenarios with high vehicle/pedestrian density using OMNeT++ & Veins.Implement mechanism to assign and evaluate mixed priority network traffic.Evaluate the impact of various densities of low priority traffic on high priority traffic. References[1] S. Sharafkandi, G. Bansal, J. B. Kenney, D. H. C. Du. "Using EDCA to improve vehicle safety messaging", IEEE Vehicular Networking Conference (VNC), 2012.

Abbreviations1. EDCA: Enhanced Distributed Channel Access 2. AC: Access CategoryFocus

1 student theory / programming / simulation

Performance Evaluation of Mixed EDCA Priority Traffic in VANETs

Page


Prof. Jochen SeitzParag Sewalkar



Electronic Measurement Research Lab

Head: Prof. Dr.-Ing. habil. Reiner S. Thomä

15.08.2013 Page 30

• Description:The Ultrawideband (UWB) modules, that are used for channel sounding, are provided with demonstration software that enables data transfer from the modules to a PC, but is barely usable during measurements due to lack in performance and extensibility. Therefore a software suit should be developed specifically for the measurement conditions.

• Tasks– Do a research on the channel sounding principles. Understand the

limitations of the hardware.– Study the documentation to the UWB modules and their API– Develop design a software suite (a set of MATLAB/Python classes)

that satisfies the major requirements during channel sounding:• Data acquisition should be lightweight and robust• Acquisition, processing and visualization should be decoupled

from each other

• References• [1] Gustavsson, G. I., Ljung, L., and Soderstorm, T. Identification of process in closed-loop – identifiability

and accuracy aspects. Automatica, 1977, 13, 59–75.

• Focus 1 student theory / programming / hardware / measurements


Prof. Reiner ThomäM.Sc. Sergii [email protected]

Development of a Software Suite for UWB Channel Sounder hardware

07.08.2017 Page 1

• Description:The mmWave Channel Sounder (CS) needs a watchdog device that would detect outages in the clock signal.

• Tasks– Do a research on RF power measurement techniques– Given the necessary components, assemble a USB RF power sensor– Perform calibration of the sensor– Implement a software watchdog that would detect and report clock

power outages

• References[1] http://www.analog.com/en/technical-articles/measurement-control-rf-power-parti.html[2] https://numato.com/8-channel-usb-gpio-module-with-analog-inputs/




Development of a Software Suite for UWB Channel Sounder hardware

07.08.2017 Page 2

http://www.analog.com/en/technical-articles/measurement-control-rf-power-parti.html

https://numato.com/8-channel-usb-gpio-module-with-analog-inputs/

• Description:Due to the architecture of the UWB Channel Sounder, the raw measurement data contains a random cyclic time delay. This timebase delay can be extracted from a Line-of-Sight (LOS) measurement by visually locating the largest peak. The process has to be automated with a high degree of reliability.

• Tasks– Do a research on peak recognition techniques– Implement a peak search algorithm as a MATLAB/Python class– Study the performance of the algorithm on real measurement data




Automatic Timebase Calibration Methods in UWB Channel Sounding

07.08.2017 Page 3

• Description:Modern communications tend to utilize increasingly high frequency/spatial bandwidth, thus making channel sounding measurements produce more and more volumes of raw data. We are approaching the limits when processing of the measurement data becomes inconvenient or even totally impossible on a single PC.

• Tasks– Study the processing models of Apache Spark and Apache Flink frameworks– Study the workflow for processing Channel Sounding raw data.– Express the processing of raw measurement data as a BigData problem in terms of

Spark or Flink. Pay special attention to scaling and parallellization issues.– (optional) Implement a software for processing data from one of the real

measurement campaigns.

• References[1] https://spark.apache.org/[2] https://flink.apache.org/




BigData Techniques in Channel Sounding Data Processing

07.08.2017 Page 4

https://spark.apache.org/

https://flink.apache.org/

15.08.2013 www.tu- ilmenau.de/ei

_ms_csp

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RF and Microwave Research Laboratory

Head: Prof. Dr. rer. nat. habil. Matthias Hein

• DescriptionModern wireless communication systems use multiple-input multiple-output (MIMO) techniques to exploit the mobile radio propagation channel efficiently. Depending on the number of transmit and receive antennas, several parallel data streams may be transmitted via sub-channels, to increase channel capacity and throughput. The capability of developing multiple sub-channels depends on the channel correlation. The goal of this research project is to measure the effect of correlation on end-to-end parameters like throughput quantitatively in connected tests for the LTE communication standard. A commercial radio communication tester and a MIMO capable LTE modem stick shall be used. Channel correlation is realized by a channel emulator implemented in a software defined radio module.

• Tasks– Theoretical investigations of the relationship between correlation of received

signals and achievable data throughput– LTE throughput measurements in various correlated scenarios

and comparison with expectation

• References[1] P. S. Kildal and K. Rosengren, "Correlation and capacity of MIMO systems and mutual coupling, radiation efficiency, and diversity gain of their antennas: simulations and measurements in a reverberation chamber“, in IEEE Communications Magazine, vol. 42, no. 12, pp. 104-112

• Focus1 student theory / programming / simulation / hardware / measurements / protocols

Page 1

LTE communication testing in correlated propagation channels

March 2017

Responsible Professor:Research Assistant:

Prof. Dr. Matthias HeinM.Sc. Philipp [email protected]

• DescriptionIn order to provide coverage at the low-frequency LTE bands, a patch antenna is well suited for automotive applications, especially when mounting locations close to the metal surface of the car body are considered. The relevant performance parameters of such an antenna to be focused on in the design pahse are the input impedance bandwidth and the realized gain for a given physical size and geometrical layout of the antenna. With respect to these parameters, a suitably optimized version of a patch antenna shall be designed, fabricated, and tested (optional). To effectively support the research project, a basic numerical solution will be made available.

• Tasks- Designing a patch antenna for LTE 800 in CST Microwave Studio.- Literature study to identify possible wide-band solutions for patches.- Optimization of the Patch antenna to meet given bandwidth, gain, and size objectives.

• References (basic literature)[1] C.A. Balanis, Antenna Theory: Analysis and Design

• Tasks1 student theory / programming / simulation / hardware / measurements / protocols

Page 2

Software-based optimization of a patch antenna for automotive applications at 800 MHzResponsible Professor:Research Assistant:

Prof. Dr. Matthias HeinM.Sc. Jasmeet [email protected]

August 2014

• DescriptionMore and more radio systems are incorporated in modern automobiles, to serve multiple mobile communication standards for car-to-X communications. Recent research aims at using mobile communications as an enabler for passive radar for improved cooperative awareness in different traffic scenarios. For this task, reliable information about the bi-static radar cross section (RCS) is needed for different frequencies, illumination angles, and polarizations. The goal of this research project is to simulate the bi-static RCS of different objects (car, bicycle w/o bicyclist, and pedestrian). To support the project, a pre-configured simulation will be made available.

• Tasks– Literature survey of the bi-static RCS of vehicular objects– 3D modelling and electromagnetic RCS simulations for different vehicular objects

between 500 and 6000 MHz, a realistic range of illumination and observation angles, and two orthogonal polarizations

– Investigation of different boundary conditions (e.g. nearfield vs. far field, material parameters, model shapes)

• References[1] A. A. Noor Hafizah, M. Y. Haziq Hazwan, A. R. Nur Emileen, R. A. Raja Syamsul Azmir, O. Kama Azura and S. Asem, "RCS analysis on different targets and bistatic angles using LTE frequency," 2015 16th International Radar Symposium (IRS), Dresden, 2015, pp. 658-663.[2] K. Guan et al., "Measurement and simulation of the bistatic radar cross section of traffic signs for Vehicle-to-X communications," 2013 7th European Conference on Antennas and Propagation (EuCAP), Gothenburg, 2013, pp. 2565-2569.

• Focus1 student theory / programming / simulation / hardware / measurements / protocols

Page 3

Bi-static radar cross section of vehicles at decimeter waves

March 2017

Responsible Professor:Research Assistant:

Prof. Dr. Matthias HeinM.Sc. Andreas [email protected]

Department of Computer Science and Automation

Institute of Computer Engineering

Integrated Communication Systems Group

Head: Prof. Dr.-Ing. habil. Andreas Mitschele-Thiel

15.08.2013 Page 34

• Responsible Professor: Prof. Andreas Mitschele-Thiel • Supervisors:

– Zubair Shaik – Dariush Soleymani – Oleksandr Andryeyev – Abubaker Waswa – Pershin Samadinia – Mehdi Harounabadi

• Research projects link: – https://www.tu-ilmenau.de/en/integrated-communication-systems-group/research/student-projects/

• Focus of the projects:

– Self-organized networks – Localization – UAV platform – Aerial networks – Delay tolerant networks – D2d communication in LTE

Integrated Communication Systems Group (ICS)

15.08.2017 Page 1

https://www.tu-ilmenau.de/en/integrated-communication-systems-group/research/student-projects/

25.02.2016

www.tu-

ilmenau.de/ei _ms_csp

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Head: Giovanni Del Geldo

Digital Broadcasting Research Laboratory

15.08.2013

www.tu- ilmenau.de/ei

_ms_csp Page 37

Head: Prof. Dr.-Ing. Gerald Schuller

Applied Media Systems


Institute for Media Technology

Electronic Media Technology Labaratory

Head: Prof. Dr.-Ing. Dr. rer. nat. h.c. mult. Karlheinz Brandenburg

Page 3

Documents

Topics for the MSCSP · PDF file– Matlab implementation and ... “Performance comparison of space time block codes for ... The millimeter wave massive MIMO channel is often modeled