socrates self-optimisation and self- configuration in ... workshop santander... · fp7 ict-socrates...

FP7 ICT-SOCRATES

SOCRATESSelf-optimisation and self-configuration in wireless

networks

ICT-Mobile Summit 2009 Pre-conference Workshop on

Self-organisation for Beyond 3G Wireless Networks

Santander, Spain, 9 June 2009

Hans van den Berg (TNO)

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Outline

Project overview– Introduction, – key issues and objectives– Activities

Additional presentations– Neil Scully– Ove Linnell– Christoph Schmelz

SOCRATES: Self-optimisation and self-configuration in wireless networks

<<< Include here a picture of the project team >>>

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SOCRATES– Self-Optimisation and self-ConfiguRATion in wirelEss networkS

Project period– 3-year duration: From 01/01/2008 until 31/12/2010

Effort– Number of person months: 378– Total project costs: € 4,980,433

Consortium

Project overview: facts and figures

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Increasing network complexity requires increasing operational effort– new technologies, multi RAT; heterogeneous services, high demand

Effectuate substantial OPEX reductions– minimise human involvement

Optimise network efficiency and service quality– CAPEX reduction

Enhance robustness/resilience in case of failures

Project overview: main drivers for self-organisation

G&A; 12%

Network Operations; 26%

Marketing & Sales; 26%

Customer Care; 7%

Interconnection / Roaming; 14%

Terminals and Material; 15% G&A; 12%

Network Operations; 26%

Marketing & Sales; 26%

Customer Care; 7%

Interconnection / Roaming; 14%

Terminals and Material; 15%

Site Rental; 40%

O&M; 25%

Power; 10%

Transmission; 20%

Spares, Support &

Training; 5%

Site Rental; 40%

O&M; 25%

Power; 10%

Transmission; 20%

Spares, Support &

Training; 5%

NetworkOperations

26%

Sources: “Top down analysis of operator OPEX and Capex”. Yankee Group, Feb 2006“Operator BC for P3 with focus on reductions on OPEX”, March 2005, 221 02-FGC 101 456 Uen, rev. A

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Self-organisation in wireless networks– Self-configuration

– e.g. ‘plug-and-play’ of new basestations

– Self-optimisation – measurements, processing,

parameter adjustment, …– continuous loop

– Self-healing– failure detection– automatic minimisation of

coverage/capacity loss

Focus on 3GPP LTE (E-UTRAN)

Evolutionary approach

Measurements(Gathering and processing)

Self-optimisationSetting

parameters

Self-healing

Self-configuration

continuousloop

triggered by incidental

events

Measurements(Gathering and processing)

Self-optimisationSetting

parameters

Self-healing

Self-configuration

continuousloop

triggered by incidental

events

Project overview: key issues

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Main ObjectivesDevelopment of concepts, methods and algorithms for self-organisation

– e.g. handover parameters, antenna parameters, admission control parameters, …

Specification of the required measurements– statistical accuracy, methods of retrieval, needed protocol interfaces

Validation and demonstration of the solutions– using simulation tools

Assessment of the operational impact– e.g. radio network planning and capacity management processes

Influence on 3GPP standardisation and NGMN activities

Project overview: objectives

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Five work packages

WP 1Projectmgmt(TNO)

WP 2Use cases, requirements, assessment criteria and framework

(VOD)

WP 3Self-optimisation

(EAB)

WP 4Self-configurationand self-healing

(NSN-D)

WP 5Integration, demonstration and dissemination

(IBBT)

Req

uire

men

tsph

ase

Dev

elop

men

tph

ase

Inte

grat

ion

phas

e

WP 1Projectmgmt(TNO)

WP 2Use cases, requirements, assessment criteria and framework

(VOD)

WP 3Self-optimisation

(EAB)

WP 4Self-configurationand self-healing

(NSN-D)

WP 5Integration, demonstration and dissemination

(IBBT)

Req

uire

men

tsph

ase

Dev

elop

men

tph

ase

Inte

grat

ion

phas

e

Overall work plan

20PM

46PM

87.5PM

154.5PM

70PM

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WP2 Use cases and framework for self-organisation

Key objectives– Define use cases for self-organising networks– Define the requirements and assessment criteria&methodologies– Establish framework for development of self-organisation methods

– architectural solutions (centralized, distributed)– functional groups of parameters to be self-optimised– incl. technical and non-technical requirements, assessment criteria– set of ideas, rules, principles and boundary conditions

Activities– A2.1 Generate a detailed list of use cases – A2.2 Determine requirements – A2.3 Determine assessment criteria/methodologies – A2.4 Constitute framework

WP 2

WP2: largely finished UE

measurementsError

reportsMeasurement

Plane

Control Plane

Trigger Plane

Self-Organisation

Plane

Funct. 1

Funct. 2

Funct. 3

Funct. 4

(SON-) Controller

Coordination Plane (SON-) Coordinator

Parameter Plane Parameter 1 Parameter x

Funct. 5

Funct. 4

Funct. 6

. . .

QoS Cell outage

. . .

. . .

Oper. policy

Oper. policy

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WP3 Self-optimisation

Key objectives– Develop new concepts, methods and algorithms for self-optimisation– Assessment of algorithm performance by computer simulations– Specification of measurements, info collection, interfaces and protocols

Activities– A3.1 Self-optimisation of stand-alone functionalities – A3.2 Self-optimisation of multiple (interacting) functionalities – A3.3 Measurements, architecture and interfaces

WP 3

(!)

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WP4 Self-configuration and self-healing

Key objectives– Develop and validate concepts, methods and algorithms for self-configuration– Develop and validate concepts, methods and algorithms for self-healing

– early detection, compensation– Evaluate implementation aspects of proposed methods (measurements, arch.)

Activities– A4.1 Self-configuration in wireless access networks – A4.2 Self-healing in wireless access networks – A4.3 Measurements, architecture and interfaces

WP 4

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WP5 Integration, demonstration and dissemnination

Key objectives– Integration of the developed self-* methods, in line with the WP2 framework – Demonstration of the benefits from the self-organisation methods – Dissemination of project results (website, workshops, …)– Contribution to standardisation bodies

– 3GPP, NGMN, …– Assessment of implications of project achievements (planning & operations, …)

Activities– 5.1 Integration – 5.2 Demonstration – 5.3 Implications– 5.4 Exploitations– 5.5 Dissemination – 5.6 Liaison to standardisation

WP 5

Coverage GSM

Coverage EDG

E

Coverage UMT

S ?

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Radio network optimisation– Interference coordination – Self-optimisation of physical channels– RACH optimisation– Self-optimisation of home eNodeB

GOS/QoS related parameter optimisation– Admission control parameter optimisation – Congestion control parameter optimisation – Packet scheduling parameter optimisation – Link level retransmission scheme optimisation– Coverage hole detection

Handover related optimisation – Handover parameter optimisation – Load balancing – Neighbour cell list

Others– Reduction of energy consumption, Tracking areas,

TDD UL/DL switching point, Management of relays and repeaters, Spectrum sharing, MIMO

See D2.1 and D2.2

For each use case:• Description• Objective• Parameters• Triggers• Required measurements• Architect. aspects• Potential gain• Related use cases• References (NGMN, …)• ….

Use cases: self-optimisation

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Self-configuration– Intell. selecting site locations – Automatic generation of default parameters for NE insertion – Network authentication– Hardware/capacity extension

Self-healing– Cell outage prediction – Cell outage detection – Cell outage compensation

See D2.1 and D2.2

Use cases: self-configuration and -healing

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Selected use cases for elaboration in WP3 and WP4– Self-optimisation of home eNodeB– Load balancing – Interference coordination– Handover parameter optimisation– Packet scheduling parameter optimisation– Admission and congestion control parameter optimisation – Cell outage detection and compensation – Coverage hole detection and compensation– Automatic generation of default parameters for NE insertion

Criteria (see D2.4):• Expected gain• Feasibility• Other research• …

Focus in WP3 and WP4

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Concluding remarks

For more information (deliverables, papers, events, …): WWW.FP7-SOCRATES.EU

Today– Assessment criteria for self-organising networks (Neil Scully)– Self-optimisation (Ove Linnell)– Self-healing (Christoph Schmelz)

socrates self-optimisation and self- configuration in ... workshop santander... · fp7 ict-socrates...

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