Radio Access Networks 7 th COST 2100 Committee Meeting February 16 th - - PowerPoint PPT Presentation

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Radio Access Networks 7 th COST 2100 Committee Meeting February 16 th - - PowerPoint PPT Presentation

FP7 ICT-SOCRATES Embedding Multiple Self-Organisation Functionalities in Future Radio Access Networks 7 th COST 2100 Committee Meeting February 16 th - 18 th 2009 Braunschweig, Germany Authors: T. Jansen, TU Braunschweig, Braunschweig M.


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FP7 ICT-SOCRATES

Embedding Multiple Self-Organisation Functionalities in Future Radio Access Networks

7th COST 2100 Committee Meeting February 16th - 18th 2009 Braunschweig, Germany

Authors:

  • T. Jansen, TU Braunschweig, Braunschweig
  • M. Amirijoo , Ericsson, Linköping

Ulrich Türke, atesio, Berlin

  • L. Jorguseski, TNO ICT, Delft
  • K. Zetterberg, Ericsson, Linköping
  • R. Nascimento, TNO ICT, Delft

John Turk, Vodafone, Newbury

  • L. C. Schmelz, Nokia Siemens Networks, Munich
  • I. Balan, IBBT, Antwerp
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WWW.FP7-SOCRATES.EU

  • 1. Introduction
  • 2. Dependencies between control parameters
  • 3. Interactions between SON functionalities
  • 4. SON Control and Coordination

Outline

2/17

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  • Increase the network performance

– Quality of service, System capacity,

Throughput, …

  • Reduce the effort of human intervention

– Automate optimisation processes – Fast adaptation to network conditions

  • Reduce operating costs

– Energy consumption – Operational expenditure (OPEX)

  • Continuously collecting measurements

– UE measurements – Cell measurements – Information exchange between eNodeB’s

Objectives of the SOCRATES-Project

Measurements (Gathering and processing) Self- Optimisation Self- Healing Self- Configuration Setting parameters Continuous loop Triggered by incidental events 3/17

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  • SOCRATES investigated 24 use cases

– Use cases address situations where self-organisation may be of benefit – Divided into 3 categories [1]

SON functionalities considered for LTE

  • Self-Optimisation

– Interference

coordination

– Handover

  • ptimisation

– SO of home

eNodeB

– …

  • Self-Configuration

– Automatic generation of

default parameters

– Intelligently selecting site

locations

– …

  • Self-Healing

– Cell outage

detection

– Cell outage

compensation

– Coverage hole

management

– …

[1] Reference: TD (08)616, “Use Cases, Requirements and Assessment Criteria for Future Self‐Organising Radio Access Networks”, COST2100, Lille, France, October 2008

  • SON algorithms will be developed in every use case group

Multiple SON functionalities will be active at the same time

4/17

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  • SON functionalities

– Alter some parameter settings – Interact with other SON

functionalities

  • Problems

– Different SON functionalities alter

the same parameter settings

– for the same reason – for different reasons – Overall performance depends on

multiple SON functionalities

Introduction

UE measurements Error reports

Measurement Plane Self- Organisation Plane

Funct. 2 Funct. 3

Parameter Plane

Parameter 2 Parameter 1 Parameter x

Funct. 1

. . .

It is necessary to analyse the interaction of the SON functionalities based on the control parameters and interaction with other use cases that

follow the same purpose to identify the functionalities that need to be coordinated and simulated together

5/17

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  • 1. Introduction
  • 2. Dependencies between control parameters
  • 3. Interactions between SON functionalities
  • 4. SON Control and Coordination

Outline

6/17

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  • Definition of a Goal

– Example: minimise inter-cell interference,

maximise capacity

  • Definition of Parameter

– Example: transmission power, antenna

parameters

  • A parameter affects one or several goals

through a Contributor relation

  • Goals and controlled parameters defined

for all use cases

  • Objective: Determine the parameters that

need to be coordinated

Definitions used for parameter grouping

Use Case B Use Case A

Goal A Goal B Parameter Contributor Relation

SON functionality B SON functionalityA

7/17

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  • A group consists of

– Goals that are coupled through a

contributor relation

– Parameters of coupled groups

  • Parameter in one group does not

affect the goals of other groups

  • No coupling between the group A and

group B

  • Coordination is

– required within group – Not required between groups

  • Methodology for deriving the groups

1.

Inventory of the goals

2.

Identify the parameters that affect the goals

3.

Form the parameter groups

Coupling between groups and forming the groups

Goal A Goal B Goal C Parameter Contributor Relation Parameter Group A Parameter Group B

8/17

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Goal Parameter(s)

Minimise interference Transmit power RB assignment Adjust beam forming parameters CQI thresholds for schemes switching Maximise/Optimise coverage Transmit power Antenna parameters Balance load Transmit power Antenna parameters HO parameters Cell reselection parameters Minimise energy consumption Transmit power Antenna parameters Number of used Tx antennas Maximise cell capacity Transmit power Admission control threshold Congestion detection and resolution parameters Scheduler parameters Link level retransmission scheme parameters Tracking area parameters Switching point configuration CQI thresholds for schemes switching

Identifying the parameters

9/17

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Parameter Group Goal(s) Parameter(s)

A Minimise interference Balance load Minimise energy consumption Maximise cell capacity Maximise/optimise network coverage Maximise HO performance Transmit Power Antenna parameters RB assignment HO parameters Admission control threshold Congestion detection and resolution parameters Scheduler parameters Link level retransmission scheme parameters Cell reselection parameters Number of used Tx antennas Switching point configuration Adjust beam forming parameters CQI thresholds for schemes switching Tracking area parameters B Minimise error rate Channel power control parameters C Maximise access probability RACH configuration

Forming the parameter groups

10/17

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  • 1. Introduction
  • 2. Dependencies between control parameters
  • 3. Interactions between SON functionalities
  • 4. SON Control and Coordination

Outline

11/17

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  • Trigger

– A trigger initiates a SON functionality

  • Co-Operate

– Several SON functionalities are activated at

the same time to counteract the same system performance degradation

  • Co-Act

– SON functionalities have been initiated by

different triggers and influence the same parameter settings for different purposes

Definitions used to determine the interaction of SON functionalities

SON Functionality

Trigger

SON Functionality SON Functionality

  • SON functionalities trigger each other

– One SON functionality finished the

  • ptimisation and triggers another one

Information exchange Information exchange SON Functionality SON Functionality SON Functionality

12/17

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  • Co-Operating and Co-Acting SON functionalities

– need to be coordinated – need o be simulated together

  • Analysis of interaction is based on Triggers

– Low / High Blocking – Low / High Dropping – Low / High Quality of service – Low / High / Imbalanced Traffic load – Low / High Cell capacity – New site – Cell outage – Coverage hole

Interaction of SON functionalities

SON Functionality

Trigger

SON Functionality SON Functionality

  • Which SON functionalities need to

be initiated ??

13/17

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WWW.FP7-SOCRATES.EU Interference coordination Admission control Reduction of energy cons.

l

  • w

h i g h

Load balancing

Hole is compensated If Problem not solved

Handover parameter opt. Coverage Hole detection Information exchange Information exchange

If Problem solved

Information exchange

Dropped calls

Reduction of energy cons. SO of Home eNodeB Coverage Hole compensation Congestion control

If Problem solved I f n

  • t

h i n g t u r n e d O f f I f n

  • t

h i n g t u r n e d O f f

Intelligently selecting site location RACH opt. SO of physical channels Information exchange

No Hole detected

Interaction of SON functionalities for the Trigger Dropped Calls

14/17

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Interaction of SON functionalities for all Triggers

Trigger Co-Operating SON functionalities

Blocking Admission control, Load balancing, Handover parameter optimisation, RACH optimisation Dropping Congestion control, Admission control, Interference coordination, Load balancing, Handover parameter

  • ptimisation

Quality of Service Congestion control, Interference coordination, TDD UL/DL switching point, Link level retransmission scheme Traffic load Congestion control, TDD UL/DL switching point, Load balancing Cell capacity New site Interference coordination, Load balancing, Handover parameter optimisation, Coverage hole detection Cell outage Coverage hole

15/17

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  • 1. Introduction
  • 2. Dependencies between control parameters
  • 3. Interactions between SON functionalities
  • 4. SON Control and Coordination

Outline

16/17

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  • Coupling between parameters

– Changed parameter settings affect

several SON goals

  • Interaction of SON functionalities

– Several SON functionalities co-

  • perate to counteract the system

performance degradation

  • Approach for managing interaction

and coordination

SON control and coordination

Control and Coordination of SON functionalities is essential

UE measurements Error reports

Measurement 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 Blocked calls

. . . . . .

Oper. policy Oper. policy

17/17

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SLIDE 18

Thank you very much for your attention

FP7 ICT-SOCRATES