Lessons Learned from Early 5G Private Network Pilots
Transcript of Lessons Learned from Early 5G Private Network Pilots
bristol.ac.uk/smart
Lessons Learned from Early 5G Private Network Pilots
Prof. Dimitra Simeonidou FREng, FIEEE
Director Smart Internet Lab, Co-Director Bristol Digital Futures Institute
University of Bristol, UK
bristol.ac.uk/smart
• 100+ academics and researchers @ University of Bristol
• Combined expertise across optical, wireless, IoT and cloud technologies
• Research across:
• Enabling technologies, Systems and Networks, Services and Applications
• Holistic approach to end-to-end network design and optimisation
• Extensive expertise on hardware, software and co-design
• Real world deployments and large-scale experimentation including
5G&Open-RAN private test-networks
Smart Internet Lab@Bristol: Who are we?
bristol.ac.uk/smart
Driving Private Networks Pilots Since 2018
Smart Internet Lab, University of Bristol
Harbourside (Centre), Bristol
Science Park (High Value Manufacturing)
M4/M5 & Avonmouth (Highways and Ports)
Cathedral square, BathKCL (London)
Digital Catapult (London)
• Smart City• Freeport Zones• Transport• Logistics• Manufacturing• Security • Assisted Living• Robotics
• Smart tourism• Digital Media• Music & Sports• Public safety• Connected
Homes
5G E
xcha
nge
Slo
ugh
Vir
tus
Dat
a C
entr
e Private Leased Line
bristol.ac.uk/smart
First Private 5G Test-Network the the UK-2018
Nokia Wi-Fi
Ruckus Wi-Fi
26GHz Mesh Network (CCS)
Nokia 5G NR & Nokia LTE-A Micro-RRH
Edgecore SDN Switch
LiFi visible-spectrum AP
Private 5G Bristol Fibre
5G room
IT room
bristol.ac.uk/smart
Urban 5G Private Network Coverage
University of Bristol5G Access Points
V U- Smart Internet Lab.S- Millennium Sq.V- VR LabW- Watershed M- M-shedB- Roman Bath
W
U
S
MU
bristol.ac.uk/smart
Fibre Footprint Across Bristol
bristol.ac.uk/smart
Mobile Network Coverage
NR (5G)
LTE (4G+)
Queens building ➔ Covering area for IoT Research & Experimentation
MShed & M.Sq. ➔ Covering area for the user experience and technology evaluations
Q
M
Q
M
bristol.ac.uk/smart
Private Network Features
Orchestration of Networks
Transport
Netw
ork V
irtualisatio
nNet
wo
rk o
f N
etw
ork
sServices & Business Solutions
Access
Core
Open SW/HW• (OSM) Open Source (MANO) Orchestration• (SDN) Software Defined Networks• (MEC) Mobile Edge Computing • Network Monitoring and Analytics• AI/ML tools• Programmable Edge (FPGAs)
Complying with standards• Access Network • LTE-A / 5GNR (Macro / Micro /Pico)• WiFi 6 • Fibre access (WDM PONs)
• Transport & Core Network• Fibre• EPC over vMEC• NSA 5G systems / SA core
• Supporting Platforms • vMEC• Open RAN 4G/5G
bristol.ac.uk/smart
• Multi-site
• Multi-vendor hosting capability
• Heterogenous infrastructure
• Support for white box & Open SW platforms
• Multiple mobile packet cores (EPC, vEPC, NSA & SA…)
• Licensed and unlicensed spectrum bands
• Urban and enterprise IoT and Data
• Engaged users (industry, researchers, local government, vertical sectors, public)
• Measuring user experience
• Co-creation with users/sectors
Network Capabilities
bristol.ac.uk/smart
The 5G-ENCODE projectENabling COnnectivity for Digital Engineering
bristol.ac.uk/smart
• £ 9 m Project funded partly by DCMS’ “Industrial 5G Testbeds and Trial: Manufacturing and Logistics”
• Aims to develop c lear business ca ses a nd v a lue propositions for 5 G a pplication in manufacturing industry
• Also to deliver a private 5G Testbed within NCC• New business models
• New 5G technologies: Network slicing and splicing
• Three manufacturing use cases:• AR/VR to support design, manufacturing and training
• Monitoring and tracking of time sensitive assets
• Wireless real-time in-process monitoring and analytics
• Lead Partner: Z eetta Networks
5G-ENCODE: Project Overview
bristol.ac.uk/smart
Closed loop manufacturing in Liquid Resin Infusion (LRI)
Business Objective: Improve efficiency and
productivity in LRI composite manufacturing using5G and digital technologies
TARGET: 40% better yield (£1.5m/annum)
In-factory and in-transit asset tracking
Business Objective: Improve productivity and reduce costs
by providing accurate and live location and conditioninformation of tracked assets
TARGET: 5% productivity improvement (£0.9m/annum)
Virtual 360 video training
Business Objective: Improve efficiency and
trainee satisfaction of in-house training usingimmersive and interactive VR 360° platform overa 5G mobile network
TARGET: 20% costs reduction (£1.0m/annum)
bristol.ac.uk/smart
Slicing & Splicing
NetSplicer® - A Multi-Domain Orchestrator by Zeetta Networks
Use Case 1 Use Case 3Use Case 2
NCC FILTON
MEC
5G CORE
RAN
L2 SwitchNetwork
SlicingNetOS SDN
Controller
NCC HQ
MEC
5G CORE
RAN
L2 SwitchNetwork
SlicingNetOS SDN
Controller
Millennium Square
L2 SwitchNetwork Slicing
NetOS SDN Controller
MEC
5G CORE
RANTelefonica5G public network
mmWave network
Fibre network
bristol.ac.uk/smart
• 4G network operational since Oct 2020
• 5G SA network physical build complete
• Commissioning in Aug 2021
• Use case demos in Oct 2021
• Ecosystem of partners
• Diversified supplied chain
• OpenRAN
• Lessons learned so far
• Interoperability, skill sets, spectrum license, 5G device availiability…
bristol.ac.uk/smart
• Duration: January 2021 – March 2022
• DCMS funding: £3,009,828
• Total project value: £ 5,212,293
• Location: South West, Bristol
• Partners: 12
• Lead: West of England Combined Authority (WECA)
• Demonstrate how 5G private network capabilities can offer efficiency and productivity improvements to the logistics sector (and more widely)
• Show the potential of highly accurate and real-time location tracking of containers and individual items in a freeport-freezone scenario
• Improve road traffic management and improve air quality
• Replace manually-intensive processes with 5G enabled autonomous systems
• Bring SMEs, universities and public bodies together to make strides towards the digital infrastructure of the future
5G Logistics
bristol.ac.uk/smart
Freeport
Smart junctions
Autonomous port police drones
• Security• Traceability and tracking of goods within
and across extendable virtual boundaries and…
• Between private and public networks
Freezone
5G Logistics- Use Cases
bristol.ac.uk/smart
Bristol Port - 5G Private RAN, MEC & Core(Primary Zone)
Gravity - 5G Private RAN & MEC(Test Zone 3)
Smart Junction(Test Zone 2)
5 G IoT Router
VP N GW
AD VAOp en-RAN
Ed ge site GWw ith:
- Optical switching - Time/phase synch
- MEC for DU
CellnexCa pacitiveMEC Host
SD N enabledOptical Switch
5 G-RU
VP N GW5 G-RU
5 G-RU
5 G-RU
CellnexMEC Host
SD N enabledOptical Switch
5 G-RU
5 G-RUF ibre-MH
ADVAOpen-RAN
Edge Site GW( as for Primary Zone)
5G
M(a/i)cro Cell
5G
M(a/i)cro Cell
F ibre-FHF i bre-MH F ibre-FH
5 G IoT Router
Geolocation Open Database
Geolocation Services
Highways England
Vans / Trucks
Local Authorities
5 G-RU
5 G-RU
Services
5G Logistics: System Architecture
bristol.ac.uk/smart
5G LOGISTICS - Key Areas of Technological Innovation
IoT TransportThe project is creating digital
models of blind spots in transport of goods.
Utilizing the geolocation and geofencing capabilities of 5G
creates limitless industrial transport optimization
opportunities
AI on PremiseThe project develops the
bedrock for exploiting value from secure real
time AI MEC deployment
5G Location TrackingThe project capitalises on 5G location tracking centimeter accuracy extracting novel-
additional value for the logistics industry
Eco Aware Tech
The project monitors continually transport
Targeting smart traffic management
Resulting to less carbon footprint
World Leader
The project transforms a port to a Freeport utilizing 5G.
Demonstrating such an integration that never
happened before
Digital Market
The project gives birth to a digital financial
microcosm.
Enabling the Idea of IoT and BlockChain markets
Ultimate Network SecurityThe project testbed allows port operations and
services to run entirely on MEC premises.
Empowering the ability to choose or not choose when to communicate valuable data to cloud.
bristol.ac.uk/smart
Future Private Networks Key Ingredients
#1–Multi-access Convergence (Radio + Fibre) & Mobile Edge Computing
Integration of MEC and network edge
AI and processing at the edge
#2 Wireless & Fibre
High performance, elastic, high bandwidth backhaul
#3 – Network Slicing & Service Orchestration
Dynamic network slices, multitenancy, protection and prioritisation of services
End-to-end intelligent service orchestration-multi-technology & multidomain
#4 – User Needs
Use cases relevant to the industry and public
Co-creation: Users Involved in the innovation Cycle