3g radio optimisation process (2003)

7/18/2019 3G Radio Optimisation Process (2003)

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KIA 3G Optimisation

3G OPTIMISATION PROCESS

Version 1.0

10th Decemer !003

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KIA 3G Optimisation

Ta"e o# Contents

1. Introduction.....................................................................................................................3

2. Process overview..............................................................................................................5

3. Preparation process.........................................................................................................6

4. Cluster Tuning process....................................................................................................8

5. Cluster Optimisation process.........................................................................................12

6. etwor! "eri#ication process.........................................................................................15

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1. INTROD$CTION

This document describes the optimization process for the o!ia 3" #$. Theoptimization process is di%ided into the follo&ing sub processes that areseparatel' described(

• Preparation phase &here the ob)ecti%e is to set the

correct en%ironment for starting the tuning and optimization process.There are certain prere*uisites that need to be fulfilled before the actual&or! can start.

• Cluster tuning process &here the purpose is to

meet a minimum le%el of radio performance. It is based on hard&arechanges+ i.e. antenna t'pe+ tilt and orientation+ or changes in the neighbor

lists. It does not include changes on parameters be'ond neighbor definitions.

• Cluster optimization process &here the purpose is

to raise the le%el of net&or! performance to the targets set bet&eeno!ia and the operator. Performance increase is achie%ed b' parameter changes and a test area &ill be selected and different parameter sets &illbe tested.

• et&or! %erification process &here the purpose is

to %erif' that the changes implemented at the cluster le%el maintain theo%erall net&or! performance to the targets set bet&een the operator ando!ia.

The tools are mapped to the different processes on an o%er%ie& le%el.

#e%ision Date ,ditor -ummar'0.1 Phil Pic!ering irst draft

0.2 /i!!oamberg

-uggestions for impro%ements

1.0 10th Dec 2003 ogdanCorcio%a

irst appro%ed %ersion

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!. PROCESS OVERVIE%

RE&. DESCRIPTION

2.0 This process describes the o%erall process for meeting the %erification targets &ithin the o!ia#$.

3.0 It &ill be necessar' to identif' a number of aspects in ad%ance of the main tuning and optimizationprocesses.

.0 The Cluster Tuning process describes ho& to achie%e basic radio performance o%er the cluster.

.0 The Cluster 4ptimization process describes ho& to raise the le%el of net&or! *ualit' to the targetsset out bet&een the customer and o!ia.

5.0 The et&or! 6erification process describes ho& to chec! the achie%ement of the *ualit' targetsfor the entire #$.

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3.0

Preparation

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Cluster

Tuning

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Cluster

4ptimization

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et&or!

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3. PREPARATION PROCESS

The purpose of the preparation phase is to set the correct en%ironment for starting the tuning and optimization process. There are certainprere*uisites that need to be fulfilled before the actual &or! can start.-ome of the prere*uisites are rather rollout related processes that need to be in place for a smooth net&or! de%elopment(

• ell defined configuration management processes that enable unambiguous recording and implementation of net&or! changes

• le8ible parameter management processes+ allo&ing small scale or e%en indi%idual parameter changes to be performed rapidl'

$t the start of the optimization process+ all sites concerned need to be 9on air9. Therefore+ a continuous feedbac! from the optimization team tothe rollout is needed in order to ensure there is enough s'nchronization and a feasible cluster prioritization is achie%ed.

RE&. DESCRIPTION RE'$IREMENTS

3.0 It &ill be necessar' to identif' a number of aspects in ad%ance of the maintuning and optimization processes


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3.1

Cluster

Identification

3.3

#oute Planning

3.

Cluster

-cheduling

3.2

Design

Implementation

$udit

3.

#eference #oute

Definition



KIA 3G Optimisation

RE&. DESCRIPTION RE'$IREMENTS

3.1 C"(ster i)enti#ication.

-electing the sites : area for tuning :optimization

$ cluster is a geographicall' contiguousarea &ith an agreed number of sitesselected in such a &a' that the centerof the cluster is interfered from sitesinside the same cluster.

Definition of interference;cluster is made using one of the follo&ing methods(

/ethod 1Planning tool e8port of interference matri8+ tuned planning model incorporating -$ onaccurate site plan < -ite ID+ Cell ID+ Prop /odel+ ocation+ =eight+ $zimuth+ Do&n tilt+CPIC= Po&er : -crambling Code

/ethod 2Pol'gon around or inside to&ns : cities

3.2 As*(i"t )ra+in,s an) inte,rationreports a()it

It is necessar' to ensure that the design is correctl' implemented into the net&or!. This &illre*uire chec!ing the site related documents for the entire cluster. $n' de%iations &ill benotified before commencing an' tuning;optimization acti%it'. -ubstantial de%iation &ill li!el'lead to degradation of the ma8imum achie%able net&or! *ualit'.

3.3 Ro(te P"annin,

Identif'ing appropriate roads on &hichto perform the dri%e sur%e'.

It is needed to include the most important areas and roads in order for the dri%e test to ha%estatisticall' reliable data.-pecial interest locations < airport routes+ corporate routes < need to be specified in order tobe included in the dri%e route.

3. C"(ster Sche)("in,

Definition and maintenance of cluster

tuning schedule

De%elop and maintain a schedule for cluster tuning. The schedule is based on integration of appropriate sites;site densit'. There should be a feedbac! loop to rollout planning so thattuning acti%ities are not perturbed b' the rollout acti%ities.

3. Re#erence Ro(te -Go")en Ro(teDe#inition

$ reference route should be defined to demonstrate !e' performance. $dditionall' thereference route can be used to trial optimization parameter recommendations


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/. C$STER T$NING PROCESS

The purpose of this process is to meet a minimum le%el of radio performance. It is based on hard&are changes+ i.e. antenna t'pe+ tilt andorientation+ or changes in the neighbor lists. It does not include changes on parameters be'ond neighbor definitions >e.g. no T8 po&er changes?.

The tools that can be used to achie%e this tas! are di%ided into three categories( measurement tools+ post<processing tools and operation andmaintenance tools. $ir interface measurement tools usuall' consist of a scanner or a phone and logging soft&are capable of recordinginformation related to the radio en%ironment and the call e%olution. Data is then anal'zed &ith post<processing soft&are. Planning tools+ such aset$ct Planner+ can be also used for predictions.

• -canners( $nritsu+ $gilent+ DTI+ #ohde : -ch&artz

• Phones( o!ia 550+ @ualcomm+ ,C+ -an'o+ /otorola

• ogging tools( T4/+ #omes+ T,/-+ DimensionA+ B<C$

• Post processing( $cti8+ /apInfo+ "$ >te8t processing tool?

4peration and maintenance tas!s can be achie%ed &ith o!ia Plan,dit+ o!ia ,lement /anager >,/?+ and T- /anager.


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.1

Cluster Preparation

.2

Dri%eTest

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$nal'sis

.

#eportF

F

.5

#ecommendation

.E

#ecommendationImplementation :

Configuration/anagement

4ptimization

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TuningCriteria metG

.7

urther Tuning6iableG

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RE&. DESCRIPTION RE'$IREMENT

.0 The cluster tuning process describesho& to achie%e basic radio performancefor a single cluster.

.1 C"(ster Preparation

Cluster %erification.Cluster Information Pac!.-ite $udit %erification.Dri%e Test #outes agreed.Test ,*uipment chec!s

Confirm rele%ant Cluster has been identified and that the integration percentage criterionhas been met. $ percentage of 70H to E0H is considered ade*uate. 6erif' data a%ailablefrom Cluster and confirm that the area has been planned to the re*uired le%el using theguidelines from the design phases. If sites are missing due to construction orimplementation problems e8clusion zones can be agreed to a%oid the respecti%e affectedareas.

Confirm that Dri%e Test #outes are agreed and documented as per section 3.3 for Clustersand section 3. for the "olden #oute.

6erif' Dri%e Test ,*uipment >%ehicle+ e*uipment calibration+ etc.?.Chec! sites for cross feeder and azimuth;tilt problems >due to incorrect installation? andrectif' e%entual discrepancies prior to the Dri%e Test. This acti%it' &ill re*uire site %isits+therefore the site %isit protocol need to be respected.

Implement et&or! reeze( no changes &ill be made in the respecti%e Cluster and itsneighbors+ unless specified b' the optimization team. This applies to both hard&are andsoft&are >parameter? changes and &ill last for the entire tuning and optimization process.

,nsure all sites are radiating and notif' an' possible problems. $ll 2 : 3 star alarms mustbe cleared prior to commencement of Dri%e Test.

$ll 3" neighbors must be %erified as per Plan+ discrepancies rectified prior tocommencement of Dri%e Test.


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Pro%ide Cluster information Pac!+ to include(

• Dominance Plot

• -imulated best ser%er ,c;Io plot

• -oft hando%er plot

• Configuration data >e.g. scrambling Codes+ tilts : $zimuths+ data build?

.2 Drie Test,nsure the maintenance of et&or! reeze as initiated in section .1.

,nsure maintenance of radiating sites+ immediate notification of problems and clearance of 2 : 3 star alarms.

Perform agreed measurements along defined route. /easurements can include scanning+ $/# >%oice? calls+ C- data >e.g. %ideo calls? and P- data >ftp+ streaming+ http?.

Collect ra& data+ highlighting problem areas and areas affected b' issues outside ofplanning control >e.g. sites do&n?.

/ost of the cases+ onl' scanner measurements are enough for this phase.

.3 Ana"2sis

Process and $nal'ze #a& DataProcess ra& data and anal'ze to pro%ide an assessment of et&or! Performance &ithinthe associated Cluster. $n e8ample of a measurement anal'sis tool to be used is $cti8.

,8clusion of data from aspects outside planning;optimization control.

Pro%ision of $larm =istor' and 4:/ Data as re*uired+ to assist $nal'sis.

. Report

ormal report of et&or! Performance.Pro%ide formal report of et&or! Performance and gi%e comparison &ith re*uiredperformance criteria.


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. T(nin, Criteria Met rom information pro%ided in the #eport >section .?+ a decision is made &hether theagreed le%el of performance has been achie%ed or not at this stage.

.5 Recommen)ation

Performance impro%ement proposals

$ proposal for net&or! performance impro%ement is made+ along &ith supporting data. Ifthere are still issues outside planning;optimization control affecting areas in the cluster+the' must be escalated.

The recommendations and supporting data &ill need to be presented for appro%al.

.7 &(rther T(nin, Via"e #e%ie& of report content and assessment of the %iabilit' of proposed recommendation>s?. $ppro%al gi%en to go ahead &ith the Implementation of the agreed recommendation>s?.If it is considered that the solution is not feasible or the changes &ill not impro%e thenet&or! performance significantl'+ then tuning is considered achie%ed and &e go to thene8t step J 4ptimization.

.E Recommen)ation Imp"ementationan) con#i,(ration mana,ement

-ite configurations modified as perrecommendations.

/odif' net&or! configuration changes proposed &ithin 8 &or!ing da's. The number ofda's+ 8+ needs to be agreed &ith the customer.

Dail' reporting to tuning team on implementation : configuration management progressand completion+ to initiate re<dri%e.


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4. C$STER OPTIMISATION PROCESS

The optimization process describes ho& to raise the le%el of net&or! performance to the targets set bet&een o!ia and the operator.Performance increase is achie%ed b' parameter changesK a test area &ill be selected and different parameter sets &ill be tested.The scope of this process(

• ine tuning J further impro%ing the performance after the tuning acti%ities+ based on hard&are changes >antenna tilt;pan?K

• 6alidation of global parameter settings < find best performing settings and e8tend them to the &hole net&or! >&here applicable+

based on the net&or! morpholog' t'pe?K

• 6alidation of site<specific parameters that can be optimized >e.g. -=4 parameters+ CPIC= po&er?.

Compared &ith the tuning process+ the optimization re*uires information that is more detailedK therefore+ ne& tools &ill be used in this phase.The measurement tools can be no& di%ided in tools for the air interface and tools for the Iu+ IuC-+ and IuP- interfaces. The air interface+ post<processing and 4:/ tools remain the same as for the tuning phase. $ ne& tool+ for the Iu+ IuC-+ IuP- interfaces can be used no&( etha&!>protocol anal'zer?.et&or! performance statistics can be obtained through counters >et$ct #eporter?+ ,4-B+ # /easurement /anagement+ and T$4.


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Preparation

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Dri%e Test

.5

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.7

#eport

F

.10

#ecommendation $nd $ppro%al

.11#ecommendationImplemented and

Configuration/anagement

5.0

6erification

.E

4ptimizationCriteria

/et

.12urther

4ptimization6iableG

F

.et&or!oading

.2

Trial

.Interface

/onitoring

.et&or!

ideImplementation

/adeG

F

Tuning

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KIA 3G Optimisation


.0 The 4ptimization Process describesho& to raise the le%el of net&or! *ualit'to the target criteria. It is primaril'based on measured call data o%er anagreed route and net&or! statistics.The dri%e tests &ill pro%ide the formale%aluation for each cluster.

.1 Optimi5ation Preparation The optimization process must follo& the tuning process. $ll prere*uisites needed for thetuning process must be fulfilled and the initial tuning e8ecuted.

Information related to the cluster performance from the end of the tuning phase is re%ie&edat this stage. Clear ob)ecti%es for this process are re*uired. The PIs >call success rate+throughput etc? are agreed at this stage.

.2 Tria"ased upon 3g best practices andcurrent !no&ledge of the en%ironmentof the net&or! a trial plan is constructedand implemented.

$ trial area is determined and a plan is created. The trial area can be either a cluster or agolden route.

The trial plan must co%er the parameter changes to be implemented. Configurationmanagement and loading of features into the net&or! ha%e to be defined here.

.3 Drie Test Perform agreed measurements along defined routeK collect ra& data+ highlighting problemareas and areas affected b' issues outside of planning control.

,nsure the maintenance of et&or! reeze as initiated in section .1.

. Net+or6 "oa)in,The et&or! might need to be loaded&ith traffic so that statisticall'meaningful decisions can be made.

There is a re*uirement to specif' the re*uired le%el of calls in the cluster and ensure thatenough load of the net&or! occurs+ either %ia the pro%ision of Dri%e Teams or othersubscriber acti%it'. oth and D load has to be considered.

. Inter#ace Monitorin,It ma' be necessar' to collect interfacelogs from &ithin the net&or! for

-pecif' the interfaces re*uired for monitoring and allo& access to them in a timel' manner+consistent &ith the 4ptimization process. The tool used is etha&! J can monitor ma'beone site at a time >*uite specific monitoring?K therefore it cannot be used in &ide scale


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anal'sis. optimization.

.5 Ana"2sis #a& data is processed and anal'zed to e%aluate the net&or! performance. If applicable+e8clusion zones are ta!en into account.Pro%ide recommendations and supporting data for Performance impro%ement &ithin that

Cluster .7 ReportPro%ide formal report of et&or! Performance and gi%e comparison &ith re*uiredperformance criteria.

.E Optimi5ation criteria met $ logical test is performed to %alidate if the optimization criterion is met.

. Net+or6*+i)e imp"ementation ma)e If the report recommendations ha%e been appro%ed pre%iousl' and implemented on the&ide scale then %erification process is started.

.10 Recommen)ation an) Approa" #ecommended changes to net&or! configuration need to be presented for appro%al.Possible impact needs to be e%aluated. $re there compromises on other performance andconfiguration areas >e.g. capacit'?G

.11 Recommen)ation Imp"ementation 7Con#i,(ration Mana,ement

$ppropriate changes are implemented. $ consistenc' chec! for the correct implementationof changes is carried out. Plan,dit tools can be used for this tas!.

.12 &(rther Optimi5ation ia"e If it is possible for further optimization to close the gap bet&een current performance andtarget performance using 3g best practices then further trial &or! &ill be considered. If not+the issue &ill be escalated and the %erification process can be started.


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8. NET%OR9 VERI&ICATION PROCESS

The purpose of this process is to %erif' that the changes implemented at the cluster le%el maintain the o%erall net&or! performance to thetargets set bet&een the operator and o!ia. -ince it is mainl' a %erification of the optimization process+ same tools as in the optimization phase&ill be used here.

RE&. DESCRIPTION RESPONSI:IIT;

5.0 This process describes ho& %erification&ill be performed for the area as a&hole.

5.1 niform PerformanceG ,nsure that no indi%idual cluster is more that 10H &orse than the o%erall net&or!. If suchclusters e8ist+ consider optimizing them once more.


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5.35.

$nal'se

#esults

5.

PassGPerform

Dri%eTest

5.

$nal'ze#esults

5.

PIs metG

5.E

#eporting

F

5.7

#emedial $ctionDecision

F

4ptimization

e& Dri%eTest

DefinitionF

5.1

niformPerformanceG

5.2

ailure/echanismCollection

5.5

4ptimization

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RE&. DESCRIPTION RESPONSI:IIT;

5.2 e& dri%e route definit ion The ne& focus is inter<cluster inter&or!ingK a ne& dri%e test route &ill be defined across theclusters. e' routes in the cit' &ill be ta!en into account.

5.3 Dri%e Test $ ne& Dri%e Test is scheduled and e8ecuted in line &ith the re*uirements of the contract. Iftuning and optimization phases are done properl' there should be %er' little dri%ing left forthe %erification phase.

5. $nal'ze results The test results are anal'zed and failures outside of planning;optimization control areremo%ed from the statistics.

5. PIs metG ased on the anal'sis report a decision is made on &hether the o%erall net&or!performance is at the re*uired le%el.

5.5 ailure mechanism collection If the *ualit' of the cluster is not satisfactor' an in%estigation is underta!en to classif' thereasons &h' the *ualit' cannot be achie%ed. Classification e8amples are(

• neconomic rectification re*uired due to sub<optimal site placement.

• It is estimated that the performance can be achie%ed &hen a future change note or

feature is loaded;implemented into the net&or!.

• The implementation of parameters re*uired to achie%e the performance is outside

o!iaLs control.

5.7 #emedial action decision If further remedial actions are li!el' to close performance gap and can be )ustified these&ill be scheduled through the optimization process

5.E #eporting $ collection of supporting information for the performance &ithin the net&or! is pro%ided for reference.


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KIA 3G Optimisation

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3g radio optimisation process (2003)

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