overview of the european research project fp7 semafour...

Overview of the European research project

FP7 SEMAFOUR on self-management in HetNets

Remco Litjens

TNO

Fredrik Gunnarsson

Ericsson

Berna Sayrac

France Telecom

Kathleen Spaey

iMinds

Colin Willcock

Nokia Siemens Networks

Andreas Eisenblätter

atesio

Beatriz G. Rodríguez

Telefónica

Thomas Kürner

TU Braunschweig

Mobile Network Optimization 2013

Amsterdam

19-20 November 2013

Hans van den Berg TNO

EU 7th Framework Project

Follow-up of FP7 SOCRATES

– Self-organisation in LTE

Facts & Figures

– Project coordinator: NSN

– Period: September 2012 – August 2015

– Effort: 499½ PMs

– Budget: M€ 6.1

– EC Contribution: M€ 3.8

2 MNO 2013, Amsterdam, 19-20 November 2013

FP7 SEMAFOUR

http://fp7-semafour.eu/

Advisory Board: Deutsche Telekom (D), KPN

(NL), Orange (F), Telefonica (E), Telenor (N),

TeliaSonera (S/FI), Vodafone (UK)

INTRODUCTION

GOALS

MULTI-LAYER/RAT SON FUNCTIONS

INTEGRATED SON MANAGEMENT

DECISION SUPPORT SYSTEM

CONCLUDING REMARKS

OUTLINE


INTRODUCTION

GOALS




CONCLUDING REMARKS

OUTLINE


Heterogeneous access networks to be cooperatively managed

– Multi-RAT, Multi-layer, Multi-vendor

– Network ‘dynamicity’ ~ energy savings, femto cells

Complexity of future/contemporary wireless access networks

– Multitude of tunable radio (resource management) parameters

with intricate interdependencies, effective on different time scales

– Complexity is needed to maximize potential of access networks

Growing pressure for higher network management efficiency

INTRODUCTION – TRENDS AND DRIVERS FOR SELF-MANAGEMENT

5

Trends are drivers for

Self-management for

unified heterogeneous radio access networks

Key benefits: enhanced …

Operability (OPEX )

Operational efficiency (CAPEX)

Customer satisfaction

MNO 2013, Amsterdam, 19-20 November 2013

NGMN/3GPP have kicked off the development of SON solutions

– Mobility robustness optimization

– Coverage/capacity optimization

– Interference management

– Energy savings

– Typically target single-RAT/layer solutions

Open issues

– Multi-layer/RAT SON functions

– SON coordination

– Likelihood of (performance or parameter) conflicts

increases in the number of operational SON functions

concurrently active in overlapping areas, at different

layers/RATs, considering HW from different vendors

– Operator policy enforcement

– Automated support of residual operational tasks

INTRODUCTION


http://www.google.nl/url?sa=i&rct=j&q=3gpp&source=images&cd=&cad=rja&docid=kCTohXC_lf2c4M&tbnid=FThFScf5mioMoM:&ved=0CAUQjRw&url=http://www.3gpp.org/3GPP-Logo-use&ei=TbsOUZznHaHL0QXz74GABg&bvm=bv.41867550,d.d2k&psig=AFQjCNGGe8CGr8i58tXtcpAoDS38INnfJw&ust=1360006347560768

http://www.google.nl/url?sa=i&rct=j&q=ngmn&source=images&cd=&cad=rja&docid=JzlkC7oL5okesM&tbnid=3DPG9bk3i8EpMM:&ved=0CAUQjRw&url=http://en.wikipedia.org/wiki/File:NGMN_logo.png&ei=eLsOUYqyJqLP0QXghIHQBw&bvm=bv.41867550,d.d2k&psig=AFQjCNFOsvaoQ-2p2zmHvaEeed2XIlVLoA&ust=1360006371857116

INTRODUCTION

GOALS




CONCLUDING REMARKS

OUTLINE


Self-Management for Unified

Heterogeneous Radio Access Networks

– Service provider

– Network operator

– Self-management system

– Network resources

GOALS




– Integrated SON Management

– Policy transformation

– SON coordination

– Monitoring

– SON functions

– Single/multi-RAT/layer

– Self-configuration,

-optimization, -healing

– Decision support system

– Spectrum refarming

– Technology upgrades

– Site deployment

GOALS


GOALS

10

Geometrical indoor prediction for ARFCN=985, h In

=7.50 m , h Out

=1.00 m

-90

-80

-70

-60

-50

-40

UMTS 2100, Received Power

[dBm]-110

-100

-90

-80

-70

-60

-50

-40

-30

-20



– Develop Concepts & Methods

– SON functions & coordination

– Policy-based SON management

– Decision support systems

– Conduct Implementation & Simulation

– Validation & fine-tuning

– Dedicated simulators

– SONLAB for integrated, distributed

multi-party simulations

– Using Realistic Network Scenarios

– Complex multi-RAT/-layer radio networks

– In-car, on-bike, pedestrian, in-building users

– Traffic demand varying with time and location

– Carry out Demonstrations

– Various graphical display capabilities

– Based on network traces + simulation


INTRODUCTION

GOALS




CONCLUDING REMARKS

OUTLINE


Dynamic Spectrum Allocation & Interference Management

– Autonomously adapt assignment of spectrum to cells

based on spatio-temporal traffic load fluctuations

– Shift of resources to traffic demand

– Across RATs (2G/3G/LTE)

– Across layers (macro/micro/pico/femto)

– Various control parameters

– assignment of carrier frequencies, bandwidth partitioning, tx powers, …

MULTI-LAYER/RAT SON FUNCTIONS (1/3)

12

Macro cells: f1

Macro cells: f2 or f2+f3

Micro cells: f3 or off


Active Antenna Systems

– Improve network capacity and user performance by

optimizing the use of advanced Active Antenna Systems

– Focus first on dynamic Vertical Sectorization

– Adaptation of resources to traffic demand

– Autonomously decide when Vertical Sectorization should be done for which

cells, and optimize the sectorization settings to get the highest capacity

gain causing the least interference.


13

Considered Control Parameters

• VS activation / deactivation switch

• Power per sector (inner and outer)

• Tilt per sector (inner and outer)


Multi-layer LTE/Wi-Fi Traffic Steering

– Shift of traffic demand to resources

– Development of adaptive traffic steering solutions to optimize

resource efficiency and user experience

– Consideration of spatio-temporal traffic load fluctuations and user mobility

– ‘Choose WiFi when available’ may offload cellular network

but degrade effectiveness of WiFi and provide worse QoE


14

LTE MACRO CELL WiFi HOT SPOTS

POOR WiFiCOVERAGE

HIGH WiFiLOAD

LTE MACRO CELL WiFi HOT SPOTS LTE MACRO CELL


INTRODUCTION

GOALS




CONCLUDING REMARKS

OUTLINE


Management interface between the network operator and

the SON functions

– Policy transformation and supervision

– Heading harmonization

– Transform operator’s general network-oriented

objectives to specific policies/execution rules for

individual SON functions

– Automates operator’s expert knowledge

INTEGRATED SON MANAGEMENT (1/2)

16

OBJECTIVES • Coverage

• Resource/energy efficiency

• QoE

• Service continuity

POLICY

TRANSFORMATION

MLB

SETTINGS, e.g.

time window, step

sizes, thresholds

ALGORITHM

MRO

SETTINGS, e.g.

wDROPPING , wRLF,

wPING PONG,

ALGORITHM

…

SETTINGS ALGORITHM

SON COORDINATOR

SETTINGS ALGORITHM


Management interface between the network operator and

the SON functions

– Policy transformation and supervision

– Heading harmonization

– Transform operator’s general network-oriented

objectives to specific policies/execution rules for

individual SON functions

– Automates operator’s expert knowledge

– Operational SON coordination

– Tailing harmonization

– Operational at the timescale of SON actions

– Detect/resolve conflicts between SON functions, instabilities, …

– Conflicting actions, conflicting performance effects, …

– Temporary SON function locks, effectuation of priorities

– Monitoring

– Collection/processing of performance data for SON functions, SON

coordination and for reporting purposes to the operator comparing

realizations with objectives

INTEGRATED SON MANAGEMENT (2/2)


INTRODUCTION

GOALS




CONCLUDING REMARKS

OUTLINE


Assisting operators by advanced network intelligence

– Suggestion to deploy new sites (macro, micro, pico, femto)

– If the traffic growth can no longer be supported

by the self-optimized network

– Suggestion to swap base stations to other RATs

– Once the capacity increase is worth the investment and terminals are supportive

– …

– Insight in the ‘resource cost

of performance’


19

LTE MACRO CELL LTE PICO CELL

DSS/NE ALERT• Lack of coverage• Recommendation pico-cell placement

DSS/NE ALERT• Lack of capacity• Recommendation macro-cell placement


INTRODUCTION

GOALS




CONCLUDING REMARKS

OUTLINE


Key drivers for self-management

– Complexity of future multi-layer/RAT technologies and pressure to be competitive are key drivers for self-management

SEMAFOUR targets the development of solutions for ‘Self-Management for Unified Heterogeneous Radio Access Networks’

– Multi-layer/RAT SON functions

– Integrated SON management

– Decision Support Systems

Project focus

– Development/assessment of concepts and algorithms

– Embedding in standardisation

– Architectures, protocols, measurements

– Demonstrations

– FIA 2013

– IWSON 2013

– ICT 2013

CONCLUDING REMARKS


ICT 2013 Conference & Exhibition, Vilnius, 6-8

November 2013

22

SEMAFOUR DEMONSTRATIONS AT ICT 2013

See SEMAFOUR website for more information and results

http://fp7-semafour.eu/


QUESTIONS?

23

overview of the european research project fp7 semafour...

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