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An Experimental View on 5G Research Projects: From
the Lab to the Field
Raul Muñoz, Ramon Casellas, Ricard Vilalta, Ricardo Martínez
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Castelldefels, Spain.
IEEE Future networks: 5G Technology Workshop
February, 28 2019
Agenda
The CTTC ADRENALINE Testbed
Overview on the on-going 5G-PPP projects:
blueSPACE
Metro-haul
5GTransformer
5GTANGO
5GCAR
5GCroco
Conclusions
2
ADRENALINE’s end-to-end transport and cloud
infrastructureMetro Packet Transport Network
VNF
VNF
VNF
VNF
VNF
VNF
VNF
Compute nodes
Packet Access
Transport Network
with edge computingVNF
VNF
Core-Datacenter
Small-DC
BVT
BVT
Optical Access
Network
19-core25Km MFC
2x 50 Km SMF
2x 150Km SMF
2x 35Km SMF
2x 35Km SMF
2x 35Km SMF
4x 50Km SMF
TP/TC
TP = DWDM Transponder (i.e., 10Gb
Ethernet or 2,5 Gb Ethernet)
TC = Flexi-grid Transceiver (e.g. BVT)
Computing resources
TP/TC
TP
TP
TP
TP/TC
TP/TC
TP/T
C
TP/T
CTP
/TC
TP/T
C
Metro Optical Network
Small-DCMicro-DC
Micro-DC
Micro-DC
Micro-DC
Intra-DC Packet
Network
ADRENALINE’s control and orchestration
OLS Controller (CTTC PCE)
NETCONF
TAPI
NETCONF
Node agent
Node agent
Node agent
Node -1 agent
Node agent
Node agent
Node agent
TC/TP agent
Optical Transport SDN Controller (ONOS / CTTC ABNO)
Intra-DCPacket Transport SDN Controller
(ODL)
End-to-End Transport SDN Controller (CTTC ABNO)
TAPI
NFV Service Platform (OSM / SONATA)
TAPI
Core-DC Controller
(OpenStack)Small-DC
Controller (OpenStack)
Micro-DC Controller
(OpenStack)
Optical Transport Network
ODL API
Edge Packet Transport SDN Controller
(ODL)
Metro Packet Transport SDN Controller
(ODL)
Optical Trasponders Packet Transport Network
Cloud/edge computing
OpenFlow
CTTC ADRENALINE testbed view
THE OPTICAL PROJECTS: BLUESPACE
AND METRO-HAUL
Document name6
blueSPACE Optical Distribution Network
7
» Optical SDM introduced to the network
» Many parallel (independent) channels
» Bundles of SMF or MCF => upgrade paths
» Shared fiber infrastructure
» Services (RAN, PON etc.)
» Operators
» Analog radio over fiber (ARoF)
» Use photonics to directly generate mm-wave signals
» All processing/complexity at CO
» Low modulation BW in optics
» Co-propagation of CW tone
» Beating on photodiode producesmm-wave signal
» Optical beamforming
» Beamforming requiresdifferential phaseshifts between signal copies
» Can be achieved inelectronics or optics
ARoF Fronthaul and Optical Beamforming
19/04/2019
fRF
fL
fRF
fL
fRF
fLfL fRF0 fRF0
2
» Optical beamforming
» Reduced powerconsumption
» Naturally supportsmulti-beamtransmission
» Full Blass matrixcan be realized
OBFN
PD
Arr
ay
An
ten
na
Arr
ay
8
BlueSPACE SDN/NFV MANO architecture
VNFPoF
Agent
MEC
Compute
node
Edge computing
Controller
Transport SDN Controller
NFV OrchestratorResource allocation
algoritms
BBU
Agent
SDM/WDM
Fronthaul SDN Controller
Packet
Backhaul
SDN Controller
ARoF
Agent
DRoF
Agent RRH
Agent
Network Slice Manager User
BBU PNF
Manager
OBFN
Agent
VNF
Manager
Switch
Agent
BBU PNF
Manager
Mobility Manager
OF Ethernet
Switch
Metro-Haul overview
Architect and design cost-effective, energy-efficient, agile
and programmable metro networks
Scalable for 5G access and future requirements
Design of all-optical metro nodes (including full compute and storage
capabilities)
Interface with both 5G access and multi-Tbit/s elastic core networks.
11
METRO TRANSPORT
AccessMetroEdge
Metro CoreEdge Photonic
Core
Metro CoreEdge
Metro Node
Metro Node
Metro Node
Metro scope
10-20 km0.1-0.2ms
Control / Orchestration
5G Access
50-200 km0.5-2ms
100-1000 km1-10ms
Main Use Cases and demonstrations
Video Security for Smart Cities
Crowdsourced Video Streaming
Metro-haul Service Platform
Document name12
NFVI-PoP
WIM : WAN Infrastructure Manager VIM
ETSI NFVHypervisor andCompute Domains
Service Platform NFVO
ETSI NFVNetwork Domain
IOS Or-Wi
Network Orchestrator (Parent Controller)
Or-Vi
NMS
Management plane
IHSDN
Monitoring
IMCOM
IO4
IO1IO3
Backend(e.g. Net2plan)
Planning Tools
IPNFVO
IPVIM
IPSDN
MONpMONo
• Leverage large-scale monitoring and telemetry for ML assisted
network operation
• Enable advanced planning (e.g. placement) algorithms
• Provide Connectivity to multiple nodes across a network
SDN Controller for the Disaggregated Optical
Network
Document name13
Open Source Contributions -- ONOS/ODTN – Open Disaggregated Transport Networkshttps://www.opennetworking.org/solutions/odtn/Operator-led initiative to build data center interconnects using disaggregated optical equipment, open and common standards, and open source software
TAPI NBI
Application Logic
OpenConfig Terminal Device
Drivers
OpenROADM Device
Drivers
THE SOFTWARE NETWORS
PROJECTS: 5GTANGO AND
5GTRANSFORMER
15
5GTANGO Key Contributions
16
• An NFV-enabled Service Development Kit (SDK) with enriched functionalities for NS developers.1
• A Validation and Verification (VnV) Platform with advanced mechanisms for VNFs/Network Services qualification (including 3rd party contributions).2
• A modular Service Platform with an innovative orchestrator with control and slicing capabilities in order to bridge the gap between business needs and network operational management systems.
3
• Methodology and tools to implement a extended DevOps workflow with a multi-organizational design.4
5GTANGO High Level Architecture
17
Vendor3rd party developer External V&V Operator
Operational Service Platform
NFV-enabled SDK
Actual Infrastructure
NF NF
NF
SD-WAN
VnVplatform
Qualification Infrastructure
VIM WIM
OSS
Public Catalogues
QualificationService
Platform
Developer’sV&V and
Service Platform
VIM/WIM/infrastructure
emulator
VIM
18
5GTANGO Pilots
Deployment of real-time communications pilot in
ADERNALINE
19.
Core Datacenter
(3 Compute Nodes)
ODLODL OpenStack
Servers
OpenStack
Client nodes
WIM (ABNO)
TAPI
SONATA
ODL
Optical SDN Controller
OpenVPN
QUOBIS premises
Edge Computing
(2 Compute Nodes)
Telco-DS
Telco-WAC
Telco-RP
Telco-MS
Telco-BS
Pool of
VNFs
- Development of the Transport
API (TAPI) as NBI of the WIM
to provide MPLS services
- Development of network slicing
for Premium vide-conference
services with different QoS
Development of Network Slicing with ETSI
OpenSource MANO
20
Open source contribution for ETSI
OpenSource MANO (OSM) release
5.
The contribution was to prepare
OSM to be 5G-ready including
3GPP network slices. Novel data
models and lifecycle management
have been addressed.
Joint development between:
5G-TRANSFORMER: General View
21
• Design the 5G-T reference architecture
• Analysis of vertical use cases and their service requirements
• Analysis of stakeholders and ecosystem
• Derive 5G-T system requirements
• Provide a baseline architecture
• Analysis of the market and economic benefits and costs of the 5G-T platform for vertical industries deployments
5G-TRANSFORMER: Architecture
22
Architecture components
VerticalM(V)NO
OSS/BSS
SOService Orchestrator (5GT-SO)
Mobile Transport and Computing
Platform (5GT-MTP)
Vertical Slicer
(5GT-VS)
To other
5GT-SOsService/Resource Orchestration
and Federation
Technology
Domain 1
Technology
Domain 2
Technology
Domain 3
• Vertical Use cases: eHealth, Automotive, Robotics
and media
• Vertical Slicer: Definition and description of the
derived vertical services (i.e., VSD and NSD)
• 5GT-SO orchestrates incoming NSDs selecting and
coordinating cloud and network resources
• Executes a Placement Algorithm for selecting
NFVI-PoPs clouds resources and Virtual Links
(i.e., network) for intra- and inter-NFVI-PoPs
connecitvity
• 5GT-MTP handles the cloud and networking
resources for deploying dynamically network
services
• Single platform coordinating multi-domain and
multi-tecnology resources (i.e., cloud, RAN,
packet and optical)
Objective: definition of on-line Cloud/Network Resource Orchestration
Algorithms for deploying VNFFGs among multiple NFVI-PoPs
NFVI-PoPs (with different sizes) interconnected over a MLN (packet/flexi-grid optical network)
23
5G-TRANFORMER: CTTC/SSSA joint collaboration
THE CONNECTED CAR PROJECTS:
5GCAR AND 5GCROCO
25
5GCAR Use Cases
26Document name
5G V2X System and Architecture
27
Network Slicing
28
Service Platform (NFV-
O+VNFM)
RAN
SDN
controller
Edge
cloud
Central
Cloud
Slice: Remote driving / Tenant:Automaker
Slice: Coperative perception
Tenant: Coop. Perception
Slice: Remote mainteinance / Tenant:Automaker
Slice: Mobile broadband / Tenant: Operator Internet
OEM
MWC18 Demonstration
29
Service Orchestrator
Cloud Controller
OVS Bridge
Co
op
era
tive
Man
eu
ver
SDN Controller
Client
Co
op
era
tive
P
erc
ep
tio
n
Edge Controller
Vid
eo
A
nal
ytic
s
CTTC is the coordinator of the ICT18 project and of the Barcelona small-scale pilot.
5GCroco: 5G cross-border corridor
Large-scale validation of 5Galong France, Germany, and Luxembourg
Focus of the innovation
5G Technology features
Cross-border/MNO/vendor/generation Operation
Distributed Computing enabled by Mobile Edge Computing (MEC)
New Radio
Network Slicing
Predictive QoS
Improved Positioning
Recommendations for Regulation and Spectrum
Identification of new business model opportunities
Impact on standardization (3GPP, ISO, ETSI, SAE, …)
31
Conclusions
Optical technology is key for the development of 5G fronthaul and backhaul
networks.
SDN Programmability of optical fronthaul/backhaul networks requires common data
models and protocols.
NFV Service platform are not fully integrated with SDN controllers. Need to further
develop a common API.
Network slicing is a key enabler for the verticals, but many projects are proposing
proprietary solutions.
MEC is key for the deployment of connected car, but it has to be integrated with
SDN, NFV and cloud to guarantee end-to-end performance.
32