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Wireless Cloud GENi-FIRE Workshop Washington D.C. September 17 th, 2015 Ivan Seskar WINLAB (Wireless Information Network Laboratory) Rutgers University.

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Presentation on theme: "Wireless Cloud GENi-FIRE Workshop Washington D.C. September 17 th, 2015 Ivan Seskar WINLAB (Wireless Information Network Laboratory) Rutgers University."— Presentation transcript:

1 Wireless Cloud GENi-FIRE Workshop Washington D.C. September 17 th, 2015 Ivan Seskar WINLAB (Wireless Information Network Laboratory) Rutgers University seskar (at) winlab (.) rutgers (.) edu 1

2 Basestation Architecture Evolution Power Amplifier Baseband Transport Control & Mgmt. Traditional Design Core Network Power Amplifier Baseband Transport Control & Mgmt. Core Network Remote Radio Head (RRH) Baseband Unit (BBU) Current Design Cloud Radio Access Network (CRAN) Power Amplifier Baseband Transport Control & Mgmt. Baseband Transport Control & Mgmt. Baseband Transport Control & Mgmt. Core Network FRONTHAUL Common Public Radio Interface (CPRI) Open Base Station Architecture Initiative (OBSAI) Open Radio Equipment Interface (ETSI-ORI ) FRONTHAUL Common Public Radio Interface (CPRI) Open Base Station Architecture Initiative (OBSAI) Open Radio Equipment Interface (ETSI-ORI ) BACKHAUL S11,R4,R6 BACKHAUL S11,R4,R6

3 CRAN Requirements WiFi: Shortest SIFS interval = 10 μs LTE (20 MHz LTE, 2x2 MIMO): CPRI fronthaul - 2.5 Gbps with BER < 10e-12 Phase error of ± 1.5 - 5 μs Frequency error: ±50 ppb Delay < 3 ms total (0.1- 0.2 ms on fronthaul) Jitter < 65 ns Multiple 1000 of GOPS (for a large system)

4 WINLAB 5G Wireless: Industry Concepts for 5G Several industry white papers on 5G released in 2015: Ref: Ericsson 5G White Paper, Feb 2015 Ref: Nokia 5G White Paper, Feb 2015 Multi-purpose network with significant performance improvements Machine-to-machine and IoT applications (some requiring low latency) Densely deployed wireless networks with cloud integration Ref: Nokia 5G White Paper, Feb 2015 4

5 WINLAB 5G Wireless: Technical Challenges Faster Cellular Radios Access ~1-10 Gbps ~1000x capacity Faster Cellular Radios Access ~1-10 Gbps ~1000x capacity Low-Latency/ Low-Power Access Network For Real-Time IoT Low-Latency/ Low-Power Access Network For Real-Time IoT New Spectrum & Dynamic Spectrum Access New Spectrum & Dynamic Spectrum Access Next-Gen Mobile Network Next-Gen Mobile Network Wideband PHY Massive MIMO Cloud RAN arch mmWave (60 Ghz) Multi-Radio access HetNet (+WiFi, etc.) … Custom PHY for IoT New MAC protocols RAN redesign Light-weight control Control/data separation Network protocol redesign …. 60 Ghz & other new bands New unlicensed/shared spectrum Dynamic spectrum access Spectrum sharing techniques Non-contiguous spectrum Network/DB coordination methods …. Mobile network redesign Convergence with Internet Clean-slate Mobile Internet Software Defined Networks Open wireless network APIs Cloud services & computing Edge cloud/fog computing Virtualization, NFV

6 CRAN Expanded

7 OBRIT Extension: Proposal

8 OBRIT Extension: Current 40 USRP X310s – Available FPGA resources: – 2 x UBX-160 (10 MHz - 6 GHz RF, 160 MHz BB BW) – 2 x 10G Ethernet for fronthaul/interconnect – Four corner movable mini-racks (4 x 20 x 20 -> 1 x 80 x 80) > 500+ GPP Cores (?) 4 x 48 port 10G switches with 40G TOR switch Resource TypeNumber DSP48 Blocks58K Block Rams (18 kB)14K Logic Cells7.2M Slices (LUTs)1.5M

9 Clock Distribution

10 What is our programming model for this mixed environment? How much initial work do we as a community need to do in order to get average experimenter involved? What other communities we need to get involved (i.e. who will help with virtualized real-time platform)? How can we move these highly-programmable platforms “outside” of the testbed? Open Issues


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