5G LAB GERMANY. 5G the Door Opener to 6G? CEO Barkhausen Institute. IEEE Webinar 2018-November-20

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1 5G LAB GERMANY 5G the Door Opener to 6G? Gerhard P. Fettweis Vodafone Chair Professor/TU Dresden CEO Barkhausen Institute IEEE Webinar 2018-November-20

students 15+ Master students 2 Program managers 12 Start-up incubator employees 2 Secretaries 5 Lab engineers

2 @ TU Dresden: Key Facts & Figures The Team 1 Professor 6 Senior scientists/lecturers 4 Post-docs 32 Ph.D. students 15+ Master students 2 Program managers 12 Start-up incubator employees 2 Secretaries 5 Lab engineers Scientific: 92 Ph.D. grads 279+ Ms. grads publications 17,500+ citations 200+ patent appl. 85+ patent families Accomplishments Innovation: 17 spin-outs 200 engineers Funding: 60M Chair 60M VC 1/2B projects IPP Sponsors Project Partners

The Vodafone Chair s Startup History 1999 OnDSP based WLAN chip-sets 2002 2000 SON systems 2006 2003 Broadband Wireless HW (LTE, ) 2012

Startup incubation and growth partner 2013 IoT solutions 2013 Bitcoin harvesting engines 2013 Massive MIMO Cells 2014 Machine vision for

3 The Vodafone Chair s Startup History 1999 OnDSP based WLAN chip-sets SON systems Broadband Wireless HW (LTE, ) Module and reference board design MPSoC semiconductor IP Wireless audio 2010 Satellite Communications Startup incubation and growth partner 2013 IoT solutions 2013 Bitcoin harvesting engines 2013 Massive MIMO Cells 2014 Machine vision for manufacturing 2008 Network performance measurement LTE Cellular Handset Chip IP Cellular IoT Chip IP 2016 Telemetry for IoT 2018

4 Update 5G Lab Germany Members HARDWARE & WIRELESS NETWORK & CLOUD TACTILE INTERNET APPLICATIONS [Team of 600+ Researchers]

5 5G Lab Germany Partners 5G LAB GERMANY

6 5G Today voice data Tactile Internet 1G 1980s 2G G G G G? Rushed into a standard 2 years early Not considered: many key requirements 5G New Radio : more like LTE + massive MIMO support

7 5G Enabled Applications Multiple applications with tremendously diverse TLR requirements Latency [ms] G DA & EC 2G MS 3G AD RC VC 4G 4G+ VS RTG AR & VR CO Tactile Internet Throughput [Mbps] 4G enabled moving content Video Call (in best case ) Video Streaming Cloud Office 5G enabled Tactile Internet Automatic Driving Augmented Reality Virtual Reality Real-Time Gaming Remote Control 5G enabled low rate Emergency Call & Disaster Alert Monitoring Sensor 7

8 Scalability Challenge

9 9 Wireless Throughput & Latency Evolution 5G Challenge: Huge throughput-latency range & diversity of apps requirements Latency [ms] ~ G 4G 4G+ 5G G ~ Throughput [Mbps]

10 10 Baseband Processing Challenge How to Design the Processing Platform: starting from the high performance Latency [ms] AAAAAAAA ~ G ~ G DSP Throughput [Mbps] AVFS: Adaptive voltage & frequency scaling

Gerhard Fettweis Slide 11 Our Design Roadmap M3, M5, Samira (Tapeout: 1997/2000/2005) WLAN PHY,

(Tapeout: 2010) Iterative detection-decoding, NoC Testchip Atlas (Tapeout: 2011) Vector DSP, NoC and

Big Data search engine Testchip Tomahawk3 (Tapeout: October 2014) Big Data search engine and 28nm

Tomahawk1 Atlas Tomahawk3 LPDDR2 Memory Interface PE CM Router1 PE PE Router0 Serial Link PE LPDDR2

PE PE Data Memory serial NoC link FEC SphDeC PE PE PE scalar part PE PE PE Program Memory PCU Samira

11 Gerhard Fettweis Slide 11 Our Design Roadmap M3, M5, Samira (Tapeout: 1997/2000/2005) WLAN PHY, Mobile Multimedia accelerators Tomahawk1 4G (Tapeout: 2007) 13 heterogenous core machine Tommy (Tapeout: 2010) Iterative detection-decoding, NoC Testchip Atlas (Tapeout: 2011) Vector DSP, NoC and LP-DDR2 Testchip Tomahawk2 (Tapeout: 2013) Energy Efficient Task Scheduling Titan3D (Tapeout: 2014) Big Data search engine Testchip Tomahawk3 (Tapeout: October 2014) Big Data search engine and 28nm LP-DDR2 Test Tomahawk4 (Tapeout: July 2015) 5G Terminal engine platform 5G (Tapeout Q1 2019) M3 Tomahawk1 Atlas Tomahawk3 LPDDR2 Memory Interface PE CM Router1 PE PE Router0 Serial Link PE LPDDR2 Memory Interface SerDes I/O 5G FPGA interface M5 Data Memory PE PE PE PE PE interconnection PE PE PE PE PE Data Memory serial NoC link FEC SphDeC PE PE PE scalar part PE PE PE Program Memory PCU Samira Tommy Tomahawk2 DuoPE DuoPE DuoPE DuoPE DDR2 RAM interface DuoPE DuoPE DuoPE DuoPE DDR2 RAM interface APP core CM core Tomahawk4

12 12 3GPP s View of 5G: embb Extreme Mobile Broadband mmtc massive Machine-type Communications URLLC Ultra reliable Low-latency Communications

13 5G Dimensions Challenges Addressed? 10 years from AAA battery Massive IoT Speed: >10 Gb/s Tb/s Massive Content Massive Relability Availability Probability Massive Control Response: 1-10 ms

The Wireless Roadmap >2020 Outlook 100Tb/s 10 Tb/s 1 Tb/s 100Gb/s 10Gb/s 1Gb/s 100Mb/s 10Mb/s 1Mb/s 100Kb/s 10Kb/s 802.11n 802.11ag 802.11b HSPA 3G R99 / EDGE 802.

14 The Wireless Roadmap >2020 Outlook 100Tb/s 10 Tb/s 1 Tb/s 100Gb/s 10Gb/s 1Gb/s 100Mb/s 10Mb/s 1Mb/s 100Kb/s 10Kb/s n ag b HSPA 3G R99 / EDGE G GPRS GSM ay ax ad ac 5G P3 5G P1 LTE Advanced LTE killer app for >10Gb/s? WLAN (10m)! Cellular (100m)

15 Spectrum Challenge

16 Where to Find The Spectrum For 1Tb/s? 270 GHz 100 GHz 100 GHz Gerhard Fettweis Jonathan Well, Faster Than Fiber: The Future of Multi-Gb/s Wireless, IEEE Mirrowave Magazine, May 2009, pp

17 Channel by Prof. Dirk Plettemeier and team Simple bounce off wood roundtrip distance 8m -60dB Corner bounce off brick/wood roundtrip distance 10m 8m -60dB Gerhard Fettweis 1m

18 Gerhard Fettweis Slide 18 Channel by Prof. Dirk Plettemeier and team Curtain bounce roundtrip distance 6m -60dB 6.5m

19 Signaling and Sampling at Very High Rates Recognizing my (former) team members L. Landau Now PUC Rio S. Bender M. Dörpinghaus Gerhard P. Fettweis

20 Gerhard Fettweis Power Bottleneck: Conversion baseband DAC RF PA baseband ADC RF LNA

21 Gerhard Fettweis Time Versus Amplitude Processing amplitude amplitude M+1 bins / sample period 2M bins / sample period time

22 Receiver Design: Sequence vs. Symbol based Sequence based Detection based on entire sequence i.u.d. symbols Symbol based Detection based on observation window Simulation based computation of the rate [Arn06] Lower bound on the rate (i.u.d. symbols) [Arn06] D. M. Arnold et al., Simulation-Based Computation of Information Rates for Channels With Memory, IEEE Trans. Inf. Theory Gerhard P. Fettweis

23 Achievable Rate: ASK Significant benefit from oversampling in terms of achievable rate Significant loss of information, when considering only symbol based detection. Gerhard P. Fettweis [La14a]L. Landau, G. Fettweis, Information Rates employing 1-bit Quantization and Oversampling at the Receiver, SPAWC

24 24 Lab Demos Special thanks to

25 25 5G Dimensions Challenges Addressed? 10 years from AAA battery Massive IoT Speed: >10 Gb/s Tb/s Massive Content Massive Reliability Availability Probability Massive Control Response: 1-10 ms

26 WHAT IS RELIABILITY? T. Hößler, L. Scheuvens, N. Franchi, M. Simsek and G. P. Fettweis, "Applying reliability theory for future wireless communication networks," 2017 IEEE 28th PIMRC, Montreal, QC, 2017, pp. 1-7.

27 Reliability Theory Vocabulary Tom Hößler

28 28 5G Dimensions Challenges Addressed? 10 years from AAA battery Massive IoT Speed: >10 Gb/s Tb/s Massive Content URLLCTactile Internet Massive Reliability Availability Probability Massive Control Response: 1-10 ms

29 Physiology und Psychology 1ms (1/1000 s) Today s networks: 100ms latency tactile interaction

relay station Radar Detecting obstacles Cooperative machines, monitoring

31 Wireless Premises Network Up to 1.000m Single- or Multi-hop communication Camera Drone can also act as a relay station Radar Detecting obstacles Cooperative machines, monitoring of process data, remote control, connecting drones to machines and process automation Dr.-Ing. Norman Franchi 32

Digitized Agriculture Farm Farm Management

32 Digitized Agriculture Farm Farm Management System, (Edge) Cloud Computing Resources Sensors Machineto-Satellite M2S WPN Cellular Network Infrastructure Machine-to- Network Wireless Premises Network WPN Field(s) WPN Wireless Premises Network Infrastructureto-WPN Human-to- Machine I2P WPN Wireless Premises Network Neighboring City M2N City Dr.-Ing. Norman Franchi H2N Human-to- Network Core Network, Internet Source: Facebook 33

33 Wireless Premises Networks 3 Examples of Unsolved Challenges challenge 3 WPN challenge 1: WPN-B

34 5G Security 6G?

36 Security & Privacy MEC: Mobile Edge Cloud Security & Privacy Barrier Skin Terminal Edge Cloud Cloud 37

37 Security & Realtime & Reliable Terminal Reliable & Latency RAN Edge & Cloud MEC Cloud HW/SW Secure Realtime HW/SW Secure Realtime

38 Barkhausen Institut The German Secure IoT Platform Institute founded 2018

39 Conclusions

40 5G Only The Beginning: The Carl Benz Automobile for the Tactile Internet?

41 6G 42

42 Open Challenges not Addressed by 5G (1) True network architecture for distributed/hierarchical Security, Privacy: e2e AAA (authentication, authorization, accounting) Storage, Computing, Control (MEC and more) Learning Resilience New PHY reaching towards 100Gb/s to 1Tb/s New modulation (OFDM dead for these rates?!) Frequencies: <1GHz, 6-10GHz, >100GHz Massive MIMO 2.0 Machine learning (antenna coupling, SON, ICIC, PA, ) Beam acquisition & tracking for 1000 antennas and more Secure IoT Platform

43 Open Challenges not Addressed by 5G (2) Tactile Internet 2.0 True e2e 1ms latency True network slicing 2.0: addressing plenty of niche markets! Mobile Industry 4.0, Mobile Farming 4.0, Mobile Building 4.0, Resilience Availability, Reliability, Recoverability within which intervals! Premises Wireless Premises Networks (WPN) Cognitive & automated Connecting the planet: ER cells with 100km range Satcom?

44 Thank you Vodafone for 24 years of continued support! Follow us on twitter

5G LAB GERMANY. Das Netz der Netze Und seine Bedeutung für die Digitale Landwirtschaft

5G LAB GERMANY. Das Netz der Netze Und seine Bedeutung für die Digitale Landwirtschaft 5G LAB GERMANY Das Netz der Netze Und seine Bedeutung für die Digitale Landwirtschaft Gerhard P. Fettweis Vodafone Chair Professor TU Dresden Gerhard Fettweis @ TU Dresden: Key Facts & Figures The Team