INTRODUCING THE 5G-PPP 5G-XHAUL PROJECT

Transcription

1 INTRODUCING THE 5G-PPP 5G-XHAUL PROJECT Anna Tzanakaki (University of Bristol, NKUA) Bristol 5G city testbed with 5G-XHaul extensions

2 1. CONSORTIUM OVERVIEW IHP GmbH (Coordinator) Huawei Technologies ADVA Optical Networking TU Dresden Airrays GmbH Telefónica I+D Blu Wireless Technology COSMOTE Fundació i2cat TES Electronic Solutions University of Bristol University of Thessaly Universities (3x), Research Institutes (2x), SMEs (2x), Operators (2x), Industry partners (3x) 3 years duration Started: 01/07/ million euro EU funding 2

3 5G-XHAUL PHYSICAL INFRASTRUCTURE WiFi RU Small Cells RU RU WLAN GW HeNB Femto Cells HeNB: Home enodeb VM: Virtual Machine GW: Gateway 5G-Xhaul Wireless Backhaul/Fronthaul HeNB HeNB enb Macro Cell enb WDM-PON HeNB GW Wireless Access : Virtual Base Band Unit RU: Remote Unit RU Backhaul PDN-GW: Packet Data Network GateWay RU 1 2 RU RU RU TSON VM Fronthaul EPC: Evolved Packet Core S GW: Serving GateWay 2 VM Data Centers S GW/GSN PDN-GW 60GHz /Sub-6 links for FH/BH FH BH 1 EPC Internet The 5G-XHaul data plane considers an integrated optical and wireless network infrastructure for transport and access. The wireless domain comprises small cells complemented by macro cells. Fronthaul and backhauli can be supported through mmwave and Sub-6 wireless technologies or using a hybrid optical network platform combining both passive and active optical technologies. 3

4 5G-XHAUL INPUT TO THE 5G PPP VIEW ON 5G ARCHITECTURE FlexGrid ROADM MP2MP FlexGrid ROADM MP2MP MP2MP FlexGrid ROADM Elastic Framebased WDM Metro FlexGrid ROADM MP2MP 5G PPP View on 5G Architecture (White Paper), 5G PPP View on 5G Architecture - Section 5 - Physical architecture, V. Jungnickel, Fraunhofer HHI, WORKSHOP 1: International Workshop on 5G Architecture, EuCNC 2016

5 Traditional RAN Managed PHY Inf Inf Management Cloud RAN Control Management & Service Orchestration 5G-XHAUL OVERARCHING LAYERED ARCHITECTURE Development focus high network bandwidth Increased BBU sharing (5) (4) (3) (2) (1) MAC Decoding Receive processing Resource demapping Cycle Prefix & FFT RF to Baseband low network bandwidth Limited BBU sharing RU (lower layers) Physical Network mmwave Network Drivers Virtual FH forwarding Virtual Wireless Element Management (EM) SDN LTE Network RRH RRH RRH Wireless Access/Transport (upper layers) Virtual Optical EM VNF Compute VM Data Centers End Point A Virtual Wireless WDM PON Virtual BH forwarding SDN Backhaul Optical Transport Virtual Optical Element Management (EM) TSON Fronthaul VM VM Data Centers End Point B Virtual Virtual Processing Processing Network Network Physical Network Virtualization Virtualization Virtualization Virtualization EM VNF Compute Internet A. Tzanakaki et al., "5G infrastructures supporting end-user and operational services: The 5G-XHaul architectural perspective," 2016 IEEE International Conference on Communications Workshops (ICC), Kuala Lumpur, Malaysia, 2016, pp

6 ARCHITECTURE PERFORMANCE EVALUATION mmwave links Optical fiber TSON nodes Large scale DC Bristol 5G city network topology with mmwave backhauling Snapshot of spatial traffic load Mullti-objevctive optimisation model aims to identify the optimal resources and policies that can support the required services in terms of both topology and resources. Optimal FH and BH service provisioning, with the overall objective to maximise the energy efficiency of the infrastructure and minimize end-to-end service delays. A. Tzanakaki et all, Wireless-Optical Network Convergence: Enabling the 5G Architecture to Support Operational and End-User Services IEEE Comms Magazine, August

7 Average data rate (Mbps) NUMERICAL RESULTS: ENERGY-DELAY Y (km) d) X (km) Km Figs a) and d): average traffic per BS and spatial traffic distribution for the wireless access domain The C-RAN approach offers significant energy savings (60-75%) (Fig. b) Overloading of network resources to support FH, the C-RAN case increases the end-to-end service delay in the BH (Fig. c), which remains below 20ms for a 100 Mbps flow request The BH service delay for C-RAN is lower compared to the delay for the C-RAN fixed BBU case

8 DATA-PLANE: WIRELESS mmwave (60GHz) Front End design Antenna & BFIC mmwave Base Band design MIMO/Beam alignment and tracking/p2mp Channel modelling 5G-XHaul mmwave BFIC Synchronization in wireless backhaul: 1588v2, ToF based 5G-XHaul mmwave nodes Functional splits for 5G-RANs (NGFI): Impact on transport requirements Specific development for Massive MIMO Self-backhauling: Joint access and backhaul Massive MIMO array supporting 5G-XHaul functional split 8

9 Cross-connect DEMUX MUX Cyclic AWG DATA-PLANE: OPTICAL Hybrid passive/active optical network solution supporting joint FH & BH Active: Time Shared Optical Networks (TSON) Elastic BW allocation (time slices) Extensions for elastic grid Native mapping of Ethernet and CPRI Synchronization Passive: flexible WDM-PON 40λs, Gbps/λ, Km Color-less ONUs (out-of-band mgmt) TSON FPGA implementation Switch off ONUs for energy saving Flexible assignment BBU-RRH OLT OLT RN ONU 1 BBU BBU... Array n L C ONU n L C T-LD L C T-LD Ethernet switch... Array n 5G-XHaul WDM-PON architecture 9

10 Transponder DEMUX MUX Ethernet Analyser 1310 nm 1310 nm Cross-connect L-band C-band upstream L-band downstream DEMUX MUX DCF BristolIsOpen (BIO) Dark fibre DATA-PLANE: WDM-PON & TSON INTEGRATION Testbed configuration of TSON and WDM-PON Integration using BIO dark fiber TSON Network OLT SMF Dark fibre Ch.1 SFP+ TSON Node 1 TSON Node 2 SFP+ SMF L-band EDFA Ch.2 WDM-PON link SFP+ ONU C-band VCSEL SFP+ SMF SMF Dark fibre RN 10 Downstream Latency TSON Node 1&2 ONU OLT side

11 Transponder DATA-PLANE: MASSIVE MIMO FH OVER WDM-PON CPRI ONU RF cable Colored DWDM λ-agnostic DWDM ONU Baseband unit (I/Q samples) AIR CPRI over WDM ADVA RRH AIR UE receiver TUD 11

12 CITY-TRIALS: BIO INFRASTRUCTURE Optical Network 144-fiber core network connecting 4 active nodes, full optical switching, flexi optical Wireless & Mobile Net. Wi-Fi ac, LTE, mmwave, Massive MIMO, 60GHz backhaul RF Mesh Network 8 Fiber-connected lampposts with 1,500 photocells and any-sensor hosting capability Computing Infrastructure HPC facility, commodity compute/storage, private cloud and edge mobile computing

13 SAMPLE OF PLANNED DEMONSTRATION IN BRISTOL (JUNE 18) TSO N TSO N OLT Massive MIMO ON U COMPUTE BBU mmwav e Sub6 TSO N FRONTHAUL (CPRI) Hotspo t BACKHAUL (ETH) 13

14 Thanks for your attention! Questions?