introducing the 5g ppp 5g xhaul project
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INTRODUCING THE 5G-PPP 5G-XHAUL PROJECT Anna Tzanakaki (University - PowerPoint PPT Presentation

INTRODUCING THE 5G-PPP 5G-XHAUL PROJECT Anna Tzanakaki (University of Bristol, NKUA) Bristol 5G city testbed with 5G-XHaul extensions www.5g-xhaul-project.eu 1. CONSORTIUM OVERVIEW IHP GmbH (Coordinator) Huawei Technologies ADVA


  1. INTRODUCING THE 5G-PPP 5G-XHAUL PROJECT Anna Tzanakaki (University of Bristol, NKUA) Bristol 5G city testbed with 5G-XHaul extensions www.5g-xhaul-project.eu

  2. 1. CONSORTIUM OVERVIEW IHP GmbH (Coordinator) • Huawei Technologies • ADVA Optical Networking • TU Dresden • Airrays GmbH • Telefónica I+D • Blu Wireless Technology • TES Electronic • Solutions COSMOTE • University of Bristol • Fundació i2CAT • University of Thessaly • Universities (3x), Research Institutes (2x), SMEs (2x), Operators (2x), • Industry partners (3x) 3 years duration • Started: 01/07/2015 • 7.2 million euro EU funding • 2

  3. 5G-XH AUL P HYSICAL INFRASTRUCTURE RU RU RU 5G-Xhaul Wireless RU RU 60GHz /Sub-6 links for FH/BH Backhaul/Fronthaul FH vBBU 1 vBBU 2 eNB BH Fronthaul eNB RU WDM-PON vBBU 1 RU vBBU 2 TSON Small Macro vBBU RU Cells Cell VM Data Centers HeNB GW WLAN GW Backhaul vBBU HeNB WiFi HeNB S GW/GSN vBBU Femto EPC Cells vBBU HeNB Wireless Access Internet VM PDN-GW HeNB: Home eNodeB vBBU: Virtual Base Band Unit EPC: Evolved Packet Core VM: Virtual Machine RU: Remote Unit S GW: Serving GateWay GW: Gateway PDN-GW: Packet Data Network GateWay  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-X HAUL I NPUT TO THE 5G PPP V IEW ON 5G A RCHITECTURE FlexGrid ROADM MP2MP Elastic Frame- based WDM Metro FlexGrid MP2MP ROADM FlexGrid ROADM MP2MP FlexGrid ROADM MP2MP • 5G PPP View on 5G Architecture – (White Paper), https://5g-ppp.eu/white-papers/ • 5G PPP View on 5G Architecture - Section 5 - Physical architecture, V. Jungnickel, Fraunhofer HHI, WORKSHOP 1: International Workshop on 5G Architecture, EuCNC 2016

  5. 5G-X HAUL O VERARCHING L AYERED A RCHITECTURE Development focus Management & Service Virtual FH vBBU Virtual BH End End RU Orchestration (upper layers) Point B  high network bandwidth Point A forwarding forwarding  Increased BBU sharing vBBU Virtual Virtual Virtual Virtual VM (lower layers) Wireless Optical Wireless Optical MAC (5) Cloud RAN Element Management EM Element Management (EM) EM Decoding Control (EM) (4) SDN SDN VNF VNF Controller Controller Receive processing (3) Inf Management Virtual Virtual Processing Processing Resource Network Network Traditional RAN demapping Physical Physical Network Network (2) Virtualization Virtualization Virtualization Virtualization Cycle Prefix & FFT (1) mmWave LTE Network Compute WDM PON TSON Compute RF to Network Controller Controller Controller Controller Controller Controller Baseband Managed PHY Inf  low network bandwidth Backhaul Fronthaul RRH RRH  Limited BBU sharing RRH vBBU vBBU Internet Drivers VM VM Data Centers Data Centers Optical Transport Wireless Access/Transport 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. 57-62 5

  6. A RCHITECTURE P ERFORMANCE E VALUATION mmWave links Optical fiber TSON nodes Large scale DC Snapshot of spatial traffic load Bristol 5G city network topology with mmWave backhauling 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. 6 A. Tzanakaki et all, “Wireless -Optical Network Convergence: Enabling the 5G Architecture to Support Operational and End-User Services“ IEEE Comms Magazine, August 2017

  7. N UMERICAL RESULTS : E NERGY - DELAY 80 Average data rate (Mbps) 0 20 40 60 80 60 40 20 10 10 5 5 Y (km) X (km) d) 0 0 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 vBBU is lower compared to the delay for the C-RAN fixed BBU case

  8. DATA-PLANE: WIRELESS  mmWave (60GHz) Front End design  Antenna & BFIC 5G-XHaul mmWave BFIC  mmWave Base Band design  MIMO/Beam alignment and tracking/P2MP  Channel modelling 5G-XHaul mmWave nodes  Synchronization in wireless backhaul: 1588v2, ToF based  Functional splits for 5G-RANs (NGFI):  Impact on transport requirements  Specific development for Massive MIMO Massive MIMO array supporting 5G-XHaul  Self-backhauling: Joint access and backhaul functional split 8

  9. 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 TSON FPGA implementation  Passive: flexible WDM-PON  40 λ s, 10-25 Gbps/ λ , 20-40 Km  Switch off ONUs for energy saving  Color-less ONUs (out-of-band mgmt)  Flexible assignment BBU-RRH OLT OLT RN ONU 1 BBU Tx Array L Cyclic AWG T-LD … C 1 Cross-connect MUX L ... 2 ... C Rx ONU n BBU n L T-LD C Rx Array Rx 1 DEMUX 2 ... ... Ethernet n switch 5G-XHaul WDM-PON architecture 9

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

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

  12. C ITY -T RIALS : BIO I NFRASTRUCTURE Optical Network 144-fiber core network connecting 4 active nodes, full optical switching, flexi optical Wireless & Mobile Net. Wi-Fi 802.11ac, 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 ON COMPUTE U Massive MIMO BBU mmWav Sub6 e TSO N FRONTHAUL (CPRI) BACKHAUL (ETH) Hotspo t 13

  14. Thanks for your attention! Questions? www.5g-xhaul-project.eu

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