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Interaction Between Use Cases and Grouping of Parameters Mehdi Amirijoo Radio Network Operation & Optimization Ericsson Research, Ericsson AB NGMN Meeting September 17, 2008

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Page 1: Interaction Between Use Cases and Grouping of …...Interaction Between Use Cases and Grouping of Parameters Mehdi Amirijoo Radio Network Operation & Optimization Ericsson Research,

Interaction Between Use Cases and Grouping of Parameters

Mehdi Amirijoo Radio Network Operation & Optimization Ericsson Research, Ericsson AB

NGMN Meeting September 17, 2008

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OUTLINE

•  Introduction •  Parameter groups •  Interactions between use cases •  Control & coordination •  Conclusion

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OUTLINE

•  Introduction •  Parameter groups •  Interactions between use cases •  Control & coordination •  Conclusion

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Introduction

•  Multiple self-organisation use cases

•  Use cases: •  can alter same parameter •  interact with each other

•  Problems: •  Use cases can work against

each other •  Performance depends on

multiple use cases

•  Identification of use cases that need to be

•  coordinated •  simulated together

UE Measurements

eNodeB Measurements

Use Case 1 Use Case 2 Use Case 3

Parameter 1 Parameter 2

...

...

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OUTLINE

•  Introduction •  Parameter groups •  Interactions between use cases •  Control & coordination •  Conclusion

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Definitions Used for Parameter Grouping

•  Definition of goal •  Example: minimize inter-cell

interference, maximize capacity

•  Definition of parameter •  Example: transmission power, antenna

parameters

•  A parameter affects one or several goals through a contributor relation

•  Some type of coordination needed

•  Objective: Determine which parameters need to be coordinated

Use Case B

Use Case A

Goal A

Goal B

Parameter

Contributor Relation

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Coupling Between Groups

•  A group consists of: •  Goals that are coupled through

contributor relations •  Parameters of coupled goals

•  Parameter in one group does not affect goals of other groups

•  No coupling between the group A and B

•  Coordination is •  required within group •  not required between groups

Goal A Goal B Goal C

Parameter Contributor Relation

Parameter Group A Parameter Group B

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Methodology for Deriving the Groups

1.  Inventory of the goals presented in the use cases

2.  Parameters of each goal is identified

3.  Parameter groups are formed

Goal A Goal B Goal C

Parameter Contributor Relation

Group A

Group B

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Outcome of Step 2 – Identifying Parameters Goal Parameter(s) Minimize interference •  Transmit power

•  RB assignment •  Adjust beam forming parameters •  CQI thresholds for schemes switching

Maximize/Optimize coverage •  Transmit power •  Antenna parameters

Balance load •  Transmit power •  Antenna parameters •  HO parameters •  Cell reselection parameters

Minimize 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

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Outcome of Step 3 – Forming the Parameter Groups Parameter

Group Goal(s) Parameter(s)

A •  Minimize interference •  Balance load •  Minimize 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 •  Minimize error rate •  Channel power control parameters C •  Maximize access probability •  RACH configuration

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Conclusion

•  Majority of the parameters and goals fall into the same group

•  Analysis has confirmed that parameters are strongly coupled

•  Coordination is needed for the majority of the parameters

•  Further work will consider methods to deal with this strong coupling

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OUTLINE

•  Introduction •  Parameter groups •  Interactions between use cases •  Control & coordination •  Conclusion

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Dependencies and Interactions

•  Dependencies and interactions between self-organisation use cases

•  Goal: Identification of use cases that are coupled and need to be:

•  Coordinated •  Simulated together

UE Measurements

eNodeB Measurements

Use Case 1 Use Case 2 Use Case 3

Parameter 1 Parameter 2

...

...

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Triggers

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Interactions - Trigger

•  A trigger initiates the execution of a use case

•  A use case triggers another use case

•  No need to co-simulate

Trigger use case

use case 2 use case 1

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Interactions – Co-operation

•  Use cases co-operate on the same problem

•  Information exchange between the use cases

•  Use cases need to be co-simulated

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Example: Trigger Blocking

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OUTLINE

•  Introduction •  Parameter groups •  Interactions between use cases •  Control & coordination •  Conclusion

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Control and Coordination

•  There is a need to: •  Handle interactions between

use cases •  Coordinate parameters

updates

•  Approach for managing interaction and coordination

•  Logical view of the controller and coordinator

•  Distributed •  Centralized

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Conclusions

•  Performed study to reveal the extent of simulation and coordination in real networks

•  Initial study shows that majority of parameters are coupled

•  Dependency and interactions between use cases

•  Socrates will continue to work on the proposed control and coordination mechanisms

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Reference

•  The SOCRATES work on interaction between use cases and grouping of parameters is included in project deliverable D2.4 ‘Framework for the development of self-organisation methods’

•  Will be added to the project website under publications http://www.fp7-socrates.eu

•  Contact: Mehdi Amirijoo [email protected] +46 10 7115290