E3 Architecture and - FP7 SOCRATES workshop Santand… · Autonomous Terminals Self-optimisation in...

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ICT MobileSummit 2009 – Pre-Workshops Slide 1 E 3 Architecture and Requirements Dr. Klaus Nolte Alcatel-Lucent 09.06.2009

Transcript of E3 Architecture and - FP7 SOCRATES workshop Santand… · Autonomous Terminals Self-optimisation in...

Page 1: E3 Architecture and - FP7 SOCRATES workshop Santand… · Autonomous Terminals Self-optimisation in Single-RAT networks Self-maintenance/ self-healing Majority of short- and mid-term

ICT MobileSummit 2009 – Pre-Workshops Slide 1

E3 Architecture and Requirements

Dr. Klaus NolteAlcatel-Lucent

09.06.2009

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ICT MobileSummit 2009 – Pre-Workshops Slide 2

Use Cases Analysis

Self-optimisation in heterogeneous networks

Flexible spectrum management

Self-(re-) configuration

Autonomous Terminals

Self-optimisation in Single-RAT networks

Self-maintenance/self-healing

Majority ofshort- and mid-term solutions expected

Majority ofmid- and long-term solutions expected

E3

TechnicalUse Cases

and theirGoals

43 Use casesconsidered forthis analysis

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ICT MobileSummit 2009 – Pre-Workshops Slide 3

4 Areas of Interest4 Areas of Interest

These are the basic areas where E3 partners areconcentrating on:

� Self-Organizing Network featuring future evolvement of organizing the functions for 3GPP RANs (incl. single /multiple RAN cases)

� Enhanced Terminal Autonomy with respect to radio link management in heterogeneous RAN environments (3GPP RAN as well as Wi-Fi, WiMAX or other RANs)

� Technology for Autonomous Cognitive ad-hoc Radio Systems (with opportunistic spectrum access)

� Long- and mid-term Dynamic Spectrum Assignment

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ICT MobileSummit 2009 – Pre-Workshops Slide 4

What else at highest level in E3?What else at highest level in E3?

“Inherited” from E 2R

� Reconfigurable equipment as pre-condition for implementation of the new envisaged functions (RCM)

Required Enablers

� Ability for spectrum sensing and exchange of sensing results as enabling technique to make spectrum rela ted decisions

� Provision of constraints and/or policies concerning the radio resource (incl. spectrum) usage to the radios involved (Abstract data for a Cognitive Pilot Channel )

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ICT MobileSummit 2009 – Pre-Workshops Slide 5

Overall System PictureOverall System Picture

SENSING

DATA

Legacy UEsMultiradio UEs with network guided operation

Regulatory Information System

JRRM

Policies

RAN Type B

Composite Wireless Network (CWN)

Self-x, Cognitive NMS (C-NMS)RAN Type A

Rules

RulesCognitive Mesh Network (CMN)

Cognitive Control Radio (CCR)

OSM

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ICT MobileSummit 2009 – Pre-Workshops Slide 6

Result: 6 PillarsResult: 6 Pillars

EquipmentReconfiguration

& its Control

AdditionalEnablers(CPC andSpectrumSensing)

DynamicSpectrum

Assignment

AutonomousCognitive

ad-hocRadio Systems

Self-OrganizingNetwork for3GPP RANs

EnhancedTerminal

Autonomy inHeterogeneous

RANEnvironments

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ICT MobileSummit 2009 – Pre-Workshops Slide 7

Self-Organizing Network for 3GPP RANs

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ICT MobileSummit 2009 – Pre-Workshops Slide 8

Different understanding of SON/SelfDifferent understanding of SON/Self --xx

� Self Organizing: From the wording often understood as a kind of autonomous management in a system (pattern: Observe –Decide – Reconfigure)Self Organizing Network: Narrow the system scope to a n etwork���� Self-x is part of almost all functional building bl ocks!

� SON is the title for a number of activities in 3GPP, NGM N, IEEE 802.16, internal T- Mobile project, …Thus, there is strong interest to dedicate a functiona l buildingblock to the corresponding identified functions in op erated RANs – this should be reflected in the functional arch itecture overview

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ICT MobileSummit 2009 – Pre-Workshops Slide 9

Self-x for RANFunctionality resultingfrom use cases definedin 3GPP, NGNM, …(clear vision available)

Management of “SON in RAN”,management of RAT,other self-x use cases,bridging to DSM (OSM)

DSNPM

Proposal how to split functions for RANsProposal how to split functions for RANs

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ICT MobileSummit 2009 – Pre-Workshops Slide 10

Cognitive Control Radio for Autonomic

Entity Management

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ConceptConcept of Cognitive Control Radio (CCR)of Cognitive Control Radio (CCR)

BS

APBase station / Access point

Cognitive ad-hoc node

Main data link

Cognitive ad-hoc node, master

Access system (e.g., LTE)Access system (e.g., Wi-Fi)

Cognitivead-hoc network

User device

BS

BS

Cognition Control Radio (CCR) path

Infrastructure path

Base station / Access point (+CCR)

User device (+CCR)

Cognitivead-hoc network

AP

Cognitive Radio Band

CCR fullyunlicensed

licensed,excluded

lightlylicensed

unrestrictedCCR use

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Capabilities and use of CCRCapabilities and use of CCR

� Types of communication on CCR⇒ Broadcast to neighbors over a limited number of hops⇒ Acknowledged packet transmission to a one-hop neighbor⇒ Transmission over multiple hops to an individual destination

• Routing needed• In mobile environment finding and keeping up routes

consumes a lot of resources

� Use of CCR1. Finding own network2. Getting regulatory policy information3. Sharing spectrum sensing results and TX/RX parameters4. Negotiation about spectrum use between networks

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Fitting CCR in the complete pictureFitting CCR in the complete picture

� CCR is an enabler for the new type of Autonomic Cognitive Mesh Network

� CCR provides (among other things) constraints and/or policies concerning the spectrum usage in the band(s)/sub-band(s) admitted for the Cognitive System. This is a kind of ‘restricted’CPC. It also re-distributes the information from the centralized CPC (how and where this information is received from outside the CS is not in the scope – it must only be ensured)

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ICT MobileSummit 2009 – Pre-Workshops Slide 14

High-level Architecture

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Multi / MetaOperator

SingleOperator

Multi Radio

Radio TechnologySpecific

Vendor SpecificSW / HW

Self-organizingNetwork

RRM

JRRM

DNPM

Recon-figuration

Mgmt.

Flexible Spectrum

Mgmt.

Radio Resource

Mgmt.

E3 pillar model

Cognition Enablers

CCR

Autonomic Radio Entity

Mgmt.

DSM

CPC

SS

AEM

Self-x pattern applied

RCM

Self-x

forRAN

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Spectrum SensingSS

Self-x for Radio Access Networks Self-x for RAN

Radio Resource ManagementRRM

Reconfiguration Control ModuleRCM

Joint Radio Resource ManagementJRRM

Dynamic Spectrum ManagementDSM

Dynamic Network Planning & ManagementDNPM

Cognitive Pilot ChannelCPC

Cognitive Control RadioCCR

Autonomic Entity Management AEM

Abbreviations (E3 pillar model)

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High level Functional Architecture with Infrastructure / Terminal split

JRRM-NETJoint Radio Resource

Management

RAT 1 RAT 2 RAT n…

DSMDynamic Spectrum Management

DSONPMDynamic Self-Organising

Network Planning and Management

CCM-NETConfiguration Control

Module

CJ

MCMJ

JR CR

MS

JRRM-TEJoint Radio Resource

Management

RAT 1 RAT 2

JR

CCM-TE Configuration Control

Module

CR

CJ JJ-TN JRRM-NETJoint Radio Resource

Management

RAT 1 RAT 2 RAT n…

DSMDynamic Spectrum Management

DNPMDynamicNetwork Planning

And Management -

RCM-NETRe-Configuration

Control Module

CJ

MCMJ

JR CR

MS

JRRM-TEJoint Radio Resource

Management

RAT 1 RAT 2

JR

RCM-TE Re-Configuration

Control Module

CR

CJ JJ-TN

Self-xfor RAN

�To be improved�Used for derivation of interfaces�Separate picture for AEM

entities�Similar in ETSI RRS

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Architecture in IEEE 1900.4 (1)

Scope, Purpose, BackgroundScope, Purpose, BackgroundScope, Purpose, Background

System

Architecture

TRC

TRM

TMC

RAN1

RANN

RMC

RRC

OSM

NRM

Radio Enabler

Terminal

TRM – Terminal Reconfiguration Manager TRC – Terminal Reconfiguration Controller TMC – Terminal Measurement Collector OSM – Operator Spectrum Manager

NRM – Network Reconfiguration Manager RRC – RAN Reconfiguration Controller RMC – RAN Measurement Collector RAN – Radio Access Network

Packet based core network

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Architecture in IEEE 1900.4 (2)

Scope, Purpose, BackgroundScope, Purpose, BackgroundScope, Purpose, Background

Following key interfaces are defined:

�Interface between the NRM and TRM�Interface between the TRM and TRC�Interface between the TRM and TMC�Interface between the NRM and RRC�Interface between the NRM and RMC�Interface between the NRM and OSM

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Architecture in IEEE 1900.4 (3)

Scope, Purpose, BackgroundScope, Purpose, BackgroundScope, Purpose, Background

RAN

Packet based core network

NRM Network Reconfiguration

Decision and Control

Policy Derivation

Policy Efficiency Evaluation

Spectrum Assignment Evaluation

Information Extraction, Collection, and Storage

OSM

Terminal

TRM Terminal

Reconfiguration Decision and

Control

Information Extraction,

Collection, and Storage

TRC

TMC

RRC

RMC

RAN Selection

RAN Selection

- P1900.4 entities

- functions related to decision making and reconfiguration

- functions related to context awareness

- external interfaces of NRM and TRM functions related to decision making and reconfiguration

- external interfaces of NRM and TRM functions related to context awareness

- internal interfaces of NRM and TRM functions related to decision making, given as implementation example, and not defined in P1900.4

- internal interfaces of NRM and TRM functions related to context awareness, given as implementation example, and not defined in P1900.4

- internal interfaces of NRM and TRM functions related to sending radio resource selection policies, given as implementation example, and not defined in P1900.4

- internal interfaces of NRM and TRM functions related to exchange of context information, given as implementation example, and not defined in P1900.4

Functional

Architecture

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Architecture in IEEE 1900.4 (4)

Scope, Purpose, BackgroundScope, Purpose, BackgroundScope, Purpose, Background

Functional Architecture covers the following aspects:

� Context awareness related functions: Information Extraction, Collection, and Storage at both NRM and TRM

� Reconfiguration Decision and Control for both Network and Terminal (located respectively in NRM and TRM)

� RAN Selection function in both NRM and TRM for enabling communication between NRM and TRM

� Radio Resource Selection Policy Derivation in NRM

� Policy Efficiency Evaluation in NRM

� Spectrum Assignment Evaluation in NRM

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Commonalities:

Patterns, Templates, Utilities

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Tools/Utilities for FA Specification (examples)

� Self-x pattern� Models for Common Management Functions � Policy modeling and management� Methods of optimization (linear, non-linear, discre te)� Context acquisition framework� Cognition methods (Genetic algorithms, Neuronal

networks, Bayesian, …)� Specification Tools and Techniques (UML, ASN.1, etc .)

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Self-x Pattern Discussion

� How Decision Making is triggered?⇒ Periodically⇒ On event⇒ Request

� How Decision Making is made?⇒ Optimization algorithm with fixed number of

calculations⇒ Optimization algorithm with dynamic number of

operations⇒ Optimization by investigating large context data

(learning) � Time limits for Decision Making and Reconfiguration

⇒ (ms, s, min order of magnitude)

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ICT MobileSummit 2009 – Pre-Workshops Slide 25

Self-x cycle option

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ICT MobileSummit 2009 – Pre-Workshops Slide 26

Thank you.