network slicing from ue to cloud. 5g-summit-berlin-aki.pdf · applications & services with...
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Network Slicing
from UE to Cloud
Aki NakaoProfessor, The University of Tokyo
Chairman of Network Architecture Committee
The Fifth Generation Mobile Network Promotion Forum (5GMF)
Overview of 5GMF
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5G in the World
ITU-T Focus Group on IMT-2020
5G Initiative
Vision2020/ Network2020
Future IMT Vision in ITU-R WP5D
5G Study Items
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Organizational Structure of 5GMF
General Assembly
Advisory Board
Strategy &Planning
CommitteeTechnical
Committee
Service &ApplicationCommittee
NetworkArchitectureCommittee
Chair : Prof. Emeritus YOSHIDA. Susumu (Kyoto Univ.)Vice-chair : Dr. SAKAUCHI. Masao (NICT)
Mr. SHINOHARA. Hiromichi (NTT)
Secretariat (ARIB, TTC)
Secretary General :Dr. SATOH. Kohei (ARIB)Deputy Secretary General :Mr. OKAMOTO. Yasushi (TTC)Mr. OHMURA. Yoshinori (ARIB)
Chair :Prof. MORIKAWA.Hiroyuki (Tokyo Univ.)Acting Chair :Mr. NAKAMURA.Takehiro (NTT DOCOMO)
Chair :Prof. SAMPEI. Seiichi(Osaka Univ.)Acting Chair :Mr. MATSUNAGA. Akira(KDDI),Mr. NAKAMURA.Takaharu (FUJITSU)
Chair :Mr. IWANAMI. Gota(INFOCITY)Acting Chair :Mr. HAYASHI. Toshiki(GEO NETWORKS)
Chair :Prof. NAKAO. Akihiro(Tokyo Univ.)Acting Chair :Dr. KAWAMURA.Ryutaro (NTT)
5G Trial Promotion Group
Leader :Mr. OKUMURA. Yukihiko (NTT DOCOMO)
Jan. 2016
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5GMF members
Members:93 (as of 12 May 2016) Ordinary members:74, Individual members:14,Special members: 3 (MIC, ARIB, TTC)
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5GMF White Paper published on 2016/May!
5GMF invited to give a lecture talk among 5GPPP community at EUCNC 2016
http://5gmf.jp/news/20160705160541/
What are the architecture design principles and building blocks you are
working on for 5G era
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1G
>10G
100M
100
1,000
10,000
101
50500
x1000 <
Typical User Throughput (bps)
Latency (ms)(RAN R.T. delay)
Mobility (km/h)
Number of Connected Users
Energy Saving
1
High Energy Saving
1
Capacity (bps/km2)
1/3<
High Mobility
High Capacity
High Number of Connected Users
• 5G systems do not always need to achieve their maximum performance. • 5G systems will be determined based on individual use scene requirements.
Requirements For User Scenes (Examples)
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Applications & Services with various requirements (M2M/IoT, Content delivery, Tactile)
Mobile packet coreRadio access network (RAN)UE/
Device
Slice Control
Slice A
Slice B
Slice C
Network management
andorchestration
Applications & Services with various requirements (M2M/IoT, Content delivery, Tactile)
Cloud
App-Driven APIAPI
Physical infrastructure (network, computation and storage resources)
Network resources
Computation and storage resources UE/Device Data Centers
MFH MBH TransportRAT(s)
Network Softwarization and Slicing
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Definition of Slice
Slice = An Isolated set of programmable resources
Two important features to be required
• Resource Isolation
• Programmability
Note: virtualization and partitions are aiding
techniques for slicing…
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Connected Car Experiment with Toyota
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Internet of Moving Things
https://techcrunch.com/2016/09/16/urban-engines-2/
On Going Projects on Network Slicing
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EU-Japan Collaboration Project Proposal
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5G!Pagoda Project Scope
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Softwarized Network Realization w/ NFV, SDN and 5G
Research-Innovation and Standardization
Objectives are
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Working Items and GoalsYoshiaki KIRIHA
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Contribution from U-Tokyo
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Open Source based Network Softwarization Platform
Network of FLARE nodes
(Physical NW View)
Slice
(Logical NW View)
Resource
Management
Center
Toy-Block
Networking GUI
Network Functions
Software Defined
Data Plane
Open Source
SDK
Optimization
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Contribution from U-TokyoYoshiaki KIRIHA
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FLARE Platform will be enhanced towards 5G SlicingCurrent Spec: 72 core EZ-Chip Network processor, GbE: 24 ports and 10GbE
SFP+: 2 ports, Up to 128GB memory / 1TB SSD, Redundant Power supply
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Contribution from KDDI Research Yoshiaki KIRIHA
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Softwarized mobile core
MME1
SGW1
PGW1
Comm.Sys. 1
MME2
SGW2
PGW2
Comm.Sys. 2
MME3
SGW3
PGW3
Comm.Sys. 3
Database layer
Architecture
eNB
HSS PCRF
PGWSGW
MME
MME HSS SGW PGW PCRF
Platform automatically implementing comm. system
Data plane
Control plane
Database layer
Redundancy
Status statistics
Admission Ctrl.
Orchestrator: service oriented service infra.
Common orchestratorrapidly sensing state change by
distributed OSS included
Developing a platform allowing AutomaticImplementation of Comm. Systems from architecture. Common features as software libraries: database, and control- and
data-planes Common Orchestrator to control and mange multiple comm.
systems
System designer provide architecture of comm. System to Platform
Platform automatically generates and evaluates the state machine from the given architecture, and implement the execution codes without the fatal failure of the system
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Contribution from Waseda University
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ICN(an Emerging Network Architecture) slice
realization on 5GPagoda frame work
Smooth connection mechanism with RAN
New protocol set for automatic FIB configuration
Name structure, Node naming, Mobility
Demonstration of an application service on ICN
Candidate will be IoT related
Standardization activities
Mainly in ITU-T(FG IMT-2020 etc.)
Already contributed one document to FG IMT-2020
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Contribution from NESICYoshiaki KIRIHA
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・Network Slicing R&D
・Slice Deployment in our MVNO
・Lots of Experiences on carrier
NFV & SDN PoC
・MVNO Operations &
Management・IoT service Experience
・SI skills on reliable Carrier NW
・Collaborative FLARE R&D since
2014
Performance Know-how
① Contribute to a specification of network slice operations w/ edge
computing functions, a prototype development, and field trials② Verifies on “Time To Market” and “E2E Quality Satisfaction”
capability
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5G!Pagoda RoadmapYoshiaki KIRIHA
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WP1
WP2
WP3
WP4
WP5
WP6
Aalt/UT/NESIC
All
Ericsson/Aalt,
UT/Waseda
Orange/KDDI/
HITACHI
Aalt/KDDI
FOCUS/DT/UT/
KDDI
2016 2017 2018
Bi-weekly meeting
Workshops Final ReportInterim report
Sliced Network Experimentations
Open5GCore-FLAREFederated Testbed
5G Application POCsFeasibility & Scalability Tests
5G related StandardizationITU-T 3GPP IETF
Distributed OrchestrationArchitecture
Requirement AnalysisSpecification Design Architecture Prototyping
Network Slice OAM Integrated Managment
Network Slicing Node Prototyping
Extended Capabilities
Interim report
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Open Air Interface (OAI)
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Software Defined Radio
Software Defined LTE/5G Network !
Programmable SIM
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Software Defined Radio
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Software Defined Radio
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Programmable SIM
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Architecture of OAI Slicing in FLARE
FLAREHardware
Compute Storage Network
OAI 1
eNB
OAI 2
OS (Containerization, Cgroup, Namespace)
Docker
EPC
HSS
SP-GW
MME
Docker Docker
eNB
Docker
EPC
HSS
SP-GW
MME
Docker Docker
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FLARE Node Hardware
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72 core EZ-Chip Network processor GbE: 24 ports and 10GbE SFP+: 2 ports Up to 128GB memory / 1TB SSD Redundant Power supply
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0
LXC
Data
Plane
Slice
LXC
Data
Plane
Slice
LXC
Slicer
Slice
Packet Forwarding Path
To X86
Or
To GPGPU
Sliceable Data Plane in FLARE Node
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FLARE Node Architecture
Dplane(Many coreprocessor)
Cplane(Intel x86processor)
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FLARE Slice 1 (c-plane) FLARE Slice 2 (C-plane)
PCI
docker
SP-GW(c-plane)
MME
docker
FLARE Slice 1 (d-plane)
eNB
SP-GW(d-plane)
FLARE Slice 2 (c-plane)
docker
SP-GW(c-plane)
MME
docker
FLARE Slice 2 (d-plane)
SP-GW(d-plane)
PDN
Southbound API
SouthboundAPI
HSSHSS
FLARE Switch
Slicer slice
Signaling
Data
Dockerized EPC on FLARE Node
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Dockerized EPC on FLARE Node
Flare Slice 1 (c-plane)
PCI
docker
EPC
HSSSP-GW
(c-plane)
MME
docker
d-plane
FromGxIO(xgbe2)
SP-GW (d-
plane)
ToGxIO(gbe3)
TCP
FLARE
eNB
docker
USRPB210
Dell T1700
eth2
eth1
xgbe2
GxPCI
xgbe1
Inte
rnet
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FLARE Slice 1
docker
eNB
FLARE Server
Open vSwitch
USRPB210
EPCUE
Passthrough
NIC
FLARE Slice 2
docker
eNB
USRPB210
Passthrough
UE
vNICUSB USB
OAI eNB Integration in FLARE Node
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LTE in A Slice in Operation
eNB docker instance
HSS docker instance EPC C-plane docker instance
EPC D-plane docker instance UE
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Mobile packet coreRadio access network
(RAN)
UE/
Device
Slice Control
Slice A
Slice B
Slice C
Network
managemen
t
and
orchestratio
n
Applications & Services with various requirements (M2M/IoT, Content delivery, Tactile)
Cloud
Goal : End-to-End Quality and Extreme Flexibility to Accommodate Various
Virtualized networks/platform App-Driven APIAPI
Physical infrastructure (network, computing and storage resources)
Network resources
Computation and storage resources UE/Device Data Centers
MFH MBH TransportRAT(s)
Network Softwarization view of 5G mobile network
Network
Softwarization
Mobile Edge
Computing
Management
Orchestration
Fronthaul
Backhaul
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Conclusion
• Network Softwarization / Network Slicing is key technology for 5G mobile applications
• Edge computing is essential for IoTcommunication
• Network isolation for different handling for eMBB, mMTC and URLLC services