resource management in 5g transport...
TRANSCRIPT
Resource Management in 5G Transport NetworksDomenico SiracusaFuture Networks (FUN)
Need for a better transport
• New service-level KPIs: demand for massive increase of network capacity
• Operators need to reduce CAPEX/OPEX in a scenario with reduced ARPU and increased needs in term of infrastructure
• Transport resources are vastly heterogeneous
• Need for adaptive, sharable, cost-efficient and cloud-based 5G transport – Integrating fronthaul and backhaul resources
– Cooperating with the access and core networks
11/7/2015 2CTTE Conference
Source: Ericsson mobility report, June 2014
Project
• Develop novel physical and link layer technologies meeting 5G requirements
• Develop a unified data plane for backhaul and fronthaul– Supporting all RAN functional splits
– Supporting required synchronization
– With one versatile frame format
– Requires new packet switch architectures
• Develop a unified control plane for backhaul and fronthaul based on SDN– Common network model
– Common set of API functions
– Resulting in abstraction layer for BH/FH
• Develop SDN apps on top of abstraction– Monitoring and prediction framework
– Backhaul/fronthaul infrastructure planning and dimensioning
– Context-aware resource management (policies, routing, function placement)
– Network-aware media distribution framework
• Evaluate the developed Xhaul technologies integrated on a 5G testbed
11/7/2015 CTTE Conference 3
Xhaul EU projectxhaul.eu
@Xhaul_eu
Physical Infrastructure of Xhaul
• Interconnection Plane– Xhaul Packet Forwarding Elements (XFE) interconnecting a broad set of novel technologies to
create a packet-based network
• General Processing Plane– Xhaul Processing Units (XPUs) that carry out the bulk of the operations
• End-Point Plane– Network Functions and their interconnections with the other planes
11/7/2015 4CTTE Conference
Functional Architecture of Xhaul
• Technology abstraction and integration layer:– Integration of the different technologies (including fronthaul and backhaul) in a common
packet network
– based on technology abstraction, unified framing and common data, control and management planes
• Xhaul Services Layer (e.g. Multi-tenancy)
11/7/2015 5CTTE Conference
Xhaul Control Infrastructure (XCI)
• The Xhaul Control Infrastructure is in charge of:
– Controlling the forwarding in the network
– Assigning RRHs to virtual BBUs based on network capacity, multi-tenancy contracts and functional splits
– Allocating VNFs, such as BBUs, CDN, etc.
– Orchestrating the networking and IT resources
– Optimizing the energy consumption of the network
– …
• It is the brain of the Xhaul architecture
11/7/2015 6CTTE Conference
High-level vision of the XCI
• Leveraging SDN and NFV standards
11/7/2015 7CTTE Conference
XCI SDN architecture
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Net core services
SB plugins
XFE XFE XFENode 1 Node 2 Node N
Agent Agent Agent Agent Agent Agent
Driver X Driver Y Driver Z
Proprietary i/f Proprietary i/f Proprietary i/fProprietary i/f
Open, standard i/f (e.g. OF + extensions)
Open, standard i/f (e.g. OF + extensions)
Open, standard i/f (e.g. OF + extensions)
Inventory Flows actions Statistics
SBI (D-CPI)
Net Apps....Analytics for
monitoring
APIs
REST APIs
Multi-tenancy net virtualization
TopologyTopologyTopology
VIM (Virt InfrMan)
XC
I
....TV Broadcasting/Multicasting
Energy Mngt & Monitoring
Xhaul Resource Manager
Content Delivery Network (CDN)
XH
AU
L A
pp
s
Path Computation Engine
XHAUL ABSTRACTION
Xhaul Resource manager
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RAN CORE
Link- Bandwidth- Available resources- Delay (average, var)- SINR or SNR (pack loss)
Node- Index + Location- Type- Computation/Storage capacity- Switching Matrix- Functions
Demand- Features (uni/multicast,
survivability, …)- Endpoints- Expected load- Tolerated delay- Max Pack loss rate- User mobility
CTTE Conference
• Dynamic resource allocation– Selection of the most appropriate technology
– Function placement
– Traffic offloading
• Network adaptation– Modification of physical layer parameters
– Handling of link failure or degradation
But…
11/7/2015 10
What about the other side of the core?
Is the optimization of the Xhaul enough?
Transport Network shall be able to satisfy end-to-end service-level KPIs
Most of the traffic passes through the Internet
Applications are the driver
• Two network applications:– Content Delivery Network (CDN): per-user distribution of video contents,
typically on-demand
– TV broadcasting: broadcasting of video contents, typically live events
11/7/2015 CTTE Conference 11
Source: Ericsson mobility report, 2014
Case study: applications and requirements
• CDN– Unicast connections
• Origin to replica server– Very High BW (massive contents)– No strict latency requirements
• Replica server to customer– Moderate BW– No strict latency requirements
• TV broadcasting– Multicast connections
• Site to production (over IP)– Very High BW (e.g. 800 Mbit/s)– No packet loss, low jitter
• Production to customer– High BW (40 Mbit/s)– No packet loss, low jitter
11/7/2015 12
Need for end-to-end application-centric service in the transport
CTTE Conference
The approach
• Applied to our case:– CDN:
• Shared optical connection
• Optical restoration
– TV broadcasting:• Dedicated optical connection (low latency)
• IP protection
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Today’s Transport Networks
Application layer
Grooming layer
Fixed transport layer
App specific requirements
Aggregate requirements
Low bandwidth
High bandwidth
ACINO
Application-aware transport layer
App specific requirements
Grooming layer
Application layer
Low bandwidth
Medium / High bandwidth
App-class requirements
Multi-layer multi-technology (IP/Optical) network orchestration
ACINO EU projectwww.acino.eu@acinoH2020
CTTE Conference
Transport network: end-to-end vision
• Multi-layer optimization including all transport (L0 to L3) layers
• Hierarchy of controllers11/7/2015 14
CONTENT
INTERNETIP/OPTICAL
REPLICA
ORIGIN
MOBILEXHAUL + RAN
MOBILEXHAUL + RAN
APPLICATIONS (CDN/TV BROADCASTING/…)
INTENT PROVIDER INTENT PROVIDER INTENT PROVIDER INTENT PROVIDER
SERVICE LEVEL ORCHESTRATION
ACINO network orchestratorXHAUL XCIDC CTRL
RAN CTRL TECH1
CTRLIP CTRL
TECH1 CTRL
OPTICAL CTRL
CTTE Conference
Conclusions
• As of today, fronthaul and backhaul are separate and incompatible network segments
• project addresses this issue by proposing integrated control and data planes
– Enabler for dynamic resource management in 5G transport networks
• Applications require end-to-end perspective
– Interoperation with the core/metro transport is needed
– Synergy with project (application-centric transport)
11/7/2015 15CTTE Conference
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