Frank Fitzek Deutsche Telekom Chair Professor · Compressed Sensing. Several 5G applications are possible, we focus on meshed multi - camera scenarios (e.g. augmented reality) Objective:

Frank Fitzek Deutsche Telekom Chair ProfessorGerhard P. Fettweis Vodafone Chair Professor

coordinators

serial entrepreneurs

5G LAB GERMANY

5G Technology to enable the Tactile Internet

Version without video

In order to keep the size of the pdf small this is the version without video.

If you are interested in the videos, please visit

www.5glab.de

2

5G LAB GERMANY

Industry 4.0Driverless Cars / Transport / MobilitySmart GridsTactile Internet…

5G Use Cases


5G LAB GERMANY

Data RateSecurityReliabilityLatencyHeterogeneityMassive

5G Use Cases

5G Requirements


5G LAB GERMANY

5G Holistic View

Wireless Network

Silicon Cloud

5G Use Cases

5G Requirements


THE TACTILE INTERNETAND ITS MILLISECOND

The Tactile Internet

Slide 7

Moving from 50ms round-trip time 1ms tomorrow

Gaming: They were the first to recognize …

Revolution Ahead: The Tactile Internet

≤ 4G:Ubiquitous Content Communications

Health & CareTraffic & MobilitySports & GymEdutainmentManufacturingSmart Grid…

5G:Ubiquitous Steering & Control Communications

1-2 ms examples of today’s cars: ESC, ABS

Tomorrow: platooned ESC & ABS

Platooning

5G REQUIREMENTS

Gerhard Fettweis

5G – “Massive” Requirements

13

Stat

e of

the

art

Massive throughput

Massive reduction in latency

Massive sensing

Massive resilience

Massive safety and security

Massive fractal heterogeneity

> 10Gbit/s per user< 1ms RTT> 10k sensors per cell< 10−8 outage< 10−12 security10x10 heterogenity

5G – “Massive” Requirements

14

Stat

e of

the

art

Massive throughput

Massive reduction in latency

Massive sensing

Massive resilience

Massive safety and security

Massive fractal heterogeneity

… and they are coupled!

How can we realize 5G?

Multi-PathMulti-Link

Mobile Edge Cloud

New Air Interface

Data Rate

Latency

Security

Reliability

Heterogeneity Network Coding

Massive Compressed Sensing

5G AGILE CLOUD

Mobile Edge Cloud / Micro Cloud / Cloud

compute

storage

networking

Communication and Control Units

Actuators and Sensors

Mobile Edge Cloud / Micro Cloud / Cloud

4 elements with 16 odroids each equals 512 cores controlled by openstack

Implementation Mobile Edge Cloud

5G NETWORK CODING

S DRε1 ε2

Network Coding

S DRε1 ε2

Network Coding

Encode Decode

(1-ε1)(1-ε2)Store and Forward

Reed SolomonLDPCLTRaptor

S DRε1 ε2

(1-ε1)(1-ε2)Store and Forward

min{(1-ε1);(1-ε2)}Compute and Forward

Network Coding

Encode DecodeRecode

Reed SolomonLDPCLTRaptor

Network Coding

Network Coding Summary

• New form of coding breaking with the end2end paradigm

• Introduces the RECODING functionality

• Versatile code: works with different complexity levels

• Should be applied in• Multi hop networks

• Multi path networks

• Mesh Networks

• Easily deployable with SDN/NFV

24

5G COMPRESSED SENSING

Compressed Sensing

Several 5G applications are possible, we focus on meshed multi-

camera scenarios (e.g. augmented reality)

Objective: Combine CS and NC (analog and digital) in theory and

implementation to improve delay ↓, resilience ↑ and complexity ↓.

Agnostic combination CS/NC: Only individual gain per camera

(spatial correlation not exploited), reconstruction/decoding at the

sink resulting in high complexity

Proposed joint CS/NC design (analog and digital): Holistic in-

network processing based on compressed compute and forward

(CCF) with distributed partial decoding and clever protocol design

(active sensing).

SRC

SRC

SRC

SRC

SRC

SRC

SRC

SRC

R

R

R

R

R

R

R

R

R

R

R

R R

R

Sink

SRC

SRC

SRC

SRC

SRC

SRC

SRC

SRC

R

R

R

R

R

R

R

R

R

R

R

R R

R

Active sensing

Active sensing

Compressed Sensing

Sink

Several 5G applications are possible, we focus on meshed multi-

camera scenarios (e.g. augmented reality)

Objective: Combine CS and NC (analog and digital) in theory and

implementation to improve delay ↓, resilience ↑ and complexity ↓.

Agnostic combination CS/NC: Only individual gain per camera

(spatial correlation not exploited), reconstruction/decoding at the

sink resulting in high complexity

Proposed joint CS/NC design (analog and digital): Holistic in-

network processing based on compressed compute and forward

(CCF) with distributed partial decoding and clever protocol design

(active sensing).

Circuit Switched Networks

Communication Networks

Voice

Places



Voice

Places


Rev

olut

ion

Packet Switched Networks


Voice

Data

Voice

Places People


Rev

olut

ion



RM3420 - Diversity / Multipath

Voice

Data

Voice

Places People


Rev

olut

ion

Use

Cas

es

Internet of Things (IoT)

Remote Cars

Robotics

Smart Grids

eHealth

Flying Internet

Tech

nica

l Cha

lleng

es

Massive throughput

Massive reduction in delay

Massive resilience

Massive safety & security

Massive heterogeneity

Massive sensing

Massive energy saving



Voice

Data

Voice

Places People


Rev

olut

ion

Use

Cas

es


Remote Cars

Robotics

Smart Grids

eHealth

Flying Internet

Tech

nica

l Cha

lleng

es

Massive throughput


Massive resilience



Massive sensing




Voice

Data

Voice

Places People


Rev

olut

ion

Use

Cas

es


Remote Cars

Robotics

Smart Grids

eHealth

Flying Internet

Tech

nica

l Cha

lleng

es

Massive throughput


Massive resilience



Massive sensing


Code Centric Networks

A

B



Revolution

Voice

Data

Voice

Places People

Voice

Data

Control

Things

5G LAB GERMANY

36

5G LABGERMANY

5G Research on four Tracks

Mobile edge cloudSilicon systems

Tactile Internet applications

Wireless & Network

Members on TracksWireless & Networking

track

Silicon systems track

Mobile edge cloud track

Tactile Internet application track

Gerhard Fettweis

Eduard Jorswieck

Frank Ellinger

Christel Baier

Rene Schüffny

Frank Fitzek

Leon Urbas

Christof FetzerUwe

Aßmann

Wolfgang Lehner Ercan

AltinsoyThorsten Strufe

Klaus Janschek

Dirk Plettemeier

Wolfgang Nagel

Hermann HärtigMichael Schröter Silvia Santini

Team of 500+ Researchers !!! Thomas Herlitzius

Relevant Startups Generated by Team

38

Wireless trackSilicon systems track Mobile edge cloud

trackTactile Internet

application track

freedelity

Summary

• Tactile Internet requires a new platform 5G

• New architecture • Mesh is dominant / Mobile Edge Cloud / Multi Link/Path

• New technologies• Network Coding / Compressed

• Integrated in SDN/NFV

39

Documents

Frank Fitzek Deutsche Telekom Chair Professor · Compressed Sensing. Several 5G applications are possible, we focus on meshed multi - camera scenarios (e.g. augmented reality) Objective: