INTRODUCING THE 5G-PPP 5G-XHAUL PROJECT Anna Tzanakaki (University - - PowerPoint PPT Presentation

Bristol 5G city testbed with 5G-XHaul extensions

www.5g-xhaul-project.eu

INTRODUCING THE 5G-PPP 5G-XHAUL PROJECT

Anna Tzanakaki (University of Bristol, NKUA)

• Huawei Technologies
• TU Dresden
• Telefónica I+D
• TES Electronic

Solutions

• University of Bristol
• University of Thessaly
• 1. CONSORTIUM OVERVIEW

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• IHP GmbH (Coordinator)
• ADVA Optical Networking
• Airrays GmbH
• Blu Wireless Technology
• COSMOTE
• Fundació i2CAT
• 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

5G-XHAUL PHYSICAL INFRASTRUCTURE

 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

• ptical technologies.

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VM vBBU2 Data Centers

Small Cells

RU RU RU RU eNB RU RU RU RU

EPC

S GW/GSN

vBBU vBBU vBBU

PDN-GW

vBBU1 Backhaul Fronthaul vBBU vBBU1 vBBU2 VM eNB

Macro Cell

Internet 60GHz /Sub-6 links for FH/BH FH BH

HeNB

Femto Cells

HeNB

HeNB GW

HeNB

WiFi

WLAN GW

TSON WDM-PON 5G-Xhaul Wireless Backhaul/Fronthaul HeNB: Home eNodeB Wireless Access VM: Virtual Machine GW: Gateway vBBU: Virtual Base Band Unit RU: Remote Unit PDN-GW: Packet Data Network GateWay EPC: Evolved Packet Core S GW: Serving GateWay

5G-XHAUL INPUT TO THE 5G PPP VIEW ON 5G ARCHITECTURE

• 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

MP2MP MP2MP

Elastic Frame- based WDM Metro

FlexGrid ROADM FlexGrid ROADM FlexGrid ROADM FlexGrid ROADM MP2MP MP2MP

5G-XHAUL OVERARCHING LAYERED ARCHITECTURE

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• 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

End Point A VM End Point B vBBU (upper layers) Virtual Wireless forwarding Virtual Optical

Virtual BH

Virtual Wireless forwarding Virtual Optical

Virtual FH

RRH RRH RRH VM vBBU

Internet

Fronthaul Optical Transport Data Centers Backhaul Data Centers vBBU Wireless Access/Transport VM

mmWave Network Controller LTE Network Controller Compute Controller WDM PON Controller TSON Controller Compute Controller Virtualization Virtualization Virtualization Virtualization Virtual Network Physical Network Processing Virtual Network Physical Network Processing SDN Controller VNF SDN Controller VNF EM EM Element Management (EM) Element Management (EM) Drivers Managed PHY Inf Inf Management

RU

RF to Baseband Cycle Prefix & FFT Resource demapping Receive processing Decoding MAC

(1) (2) (3) (4) (5)

Cloud RAN

Traditional RAN  high network bandwidth  Increased BBU sharing  low network bandwidth  Limited BBU sharing

Control Management & Service Orchestration

vBBU (lower layers)

Development focus

ARCHITECTURE PERFORMANCE EVALUATION

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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

• f 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 2017

NUMERICAL RESULTS: ENERGY-DELAY

• 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

5 10 5 10 20 40 60 80 Km Average data rate (Mbps) 20 40 60 80 X (km) Y (km)

d)

DATA-PLANE: WIRELESS

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

5G-XHaul mmWave BFIC 5G-XHaul mmWave nodes Massive MIMO array supporting 5G-XHaul functional split

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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, 10-25 Gbps/λ, 20-40 Km  Color-less ONUs (out-of-band mgmt)  Switch off ONUs for energy saving  Flexible assignment BBU-RRH

TSON FPGA implementation

OLT Tx Array

...

1

RN L C

n

DEMUX Rx Array

...

Cyclic AWG MUX ONU n T-LD Rx L C ONU 1 T-LD Rx L C

2 1 n 2 BBU BBU

…

Ethernet switch

... ... Cross-connect

OLT 5G-XHaul WDM-PON architecture

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 Testbed configuration of TSON and WDM-PON  Integration using BIO dark fiber

DATA-PLANE: WDM-PON & TSON INTEGRATION

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TSON Node 2

SFP+ SFP+

Cross-connect

SMF Dark fibre 1310 nm SMF TSON Node 1

SFP+

Tx Rx Tx Rx L-band Tx Rx Tx Rx Tx Rx SMF Rx Tx

OLT ONU

DEMUX MUX DEMUX MUX

SMF Dark fibre

Ethernet Analyser

Ch.1 Tx Rx Rx Tx Rx Tx Ch.2 Tx Rx Transponder

WDM-PON link

RN TSON Network

C-band BristolIsOpen (BIO) Dark fibre 1310 nm L-band C-band upstream L-band downstream

DCF

EDFA VCSEL SFP+

TSON Node 1&2 ONU OLT side

Downstream Latency

DATA-PLANE: MASSIVE MIMO FH OVER WDM-PON

11 CPRI over WDM ADVA Baseband unit (I/Q samples) AIR

RF cable

RRH AIR UE receiver TUD

Colored DWDM

Transponder

λ-agnostic DWDM

ONU

…

ONU

…

CPRI

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

Optical Network

144-fiber core network connecting 4 active nodes, full optical switching, flexi optical

CITY-TRIALS: BIO INFRASTRUCTURE

OLT ON U TSO N TSO N mmWav e Sub6 Hotspo t Massive MIMO

SAMPLE OF PLANNED DEMONSTRATION IN BRISTOL (JUNE’18)

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BBU COMPUTE TSO N FRONTHAUL (CPRI) BACKHAUL (ETH)

Thanks for your attention! Questions?

www.5g-xhaul-project.eu