X-ACP-Training v0.1 Moto

8/9/2019 X-ACP-Training v0.1 Moto

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x-ACPx-ACP

GSMGSM

Training course – MotorolaTraining course – Motorola

Istanbul, October 7th-12th, 2007 Istanbul, October 7th-12th, 2007


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x-ACP overview: day 1

• Overview• The core of the RF design process

• otivation and !cope• Cost"o#$ective f%nction• &ata Co'pati#i(ity

• &ata )'port• !teps *)'port physica( data+ Antenna )'port+ )'port ,etwor &ata+ )'port

e(evation data+ )'port c(%tter+ )'port path(oss " R!!) or &rive test

'eas%re'ents+ )'port traffic de'and grid+ Antenna type and e(ectrica( ti(t.• F%nctiona( 'od%(es• )'proving propagation data: s'oothing• Traffic 'ap creation• Opti'i/ation

• Config%ration

• R%nning the opti'i/er • !ite !e(ection• Config%ration• R%nning site se(ection

• Reports0 ana(ysis of res%(ts


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x-ACP specific process otoro(a T%rey: day 2

• ACP process for otoro(a T%rey• Ato(( inp%t data for xACP• 3orf(ow• !'oothing process

• C(%tter types definition• &efinition #ased on po(ygons %sed for acceptance *coveragecriteria.

• 4diting po(ygons %sing i'ported &T data• 4diting po(ygons %sing 'aret specific (and'ars

• Practica( exercise• 5%i(d xACP pro$ect %sing act%a( phase )) data


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x-ACP practica( exercise: day

• Practica( exercise

• F%(( va(idation of data i'ported• !ite se(ection scenarios: a(( candidates+ no'ina( candidates+idea( capacity scenario

• ACP opti'i/ation: #efore !!+ after !!• Ana(ysis of res%(ts

• xACP environ'ent

• Ato(( environ'ent


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x-ACP Overview

The core of the RF design process

CapacityCoverage Quality CAPEX

Trade-offguidelines

Business plan

Site physical data•Propagation data•Terrain, clutter, pops

• Financial data• Traffic forecast• egacy configuration

Sitelocations

Antenna Tilt

Antenna Azimuth

Antenna Height

Antenna Type

TDMA / GSM / WCDMA / iDEN (planne!

"ptimi"ptimi

#$AC%#$AC%

"utput%o&e'


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x-ACP Overview

otivation and !cope

• )ncreased co'p(exity and density of ce((%(ar

infrastr%ct%re 'aes 'an%a( opti'i/ation inefficient• 9oa(: A%to'atic config%ration of ce((%(ar para'eters toopti'i/e chosen perfor'ance 'etrics

• 9enera( perfor'ance 'etrics Coverage

Capacity %a(ity of !ervice *o!.

• RF Para'eters to opti'i/e: 4RP

Antenna type Radiation center+ orientation and ti(t !ite (ocation other


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x-ACP Overview

Cost"o#$ective f%nction

• aps each point in a config%ration space to a non-

negative n%'#er • Cost is the 'eas%re of config%ration point fitness

towards the o#$ective• Contri#%tion to the cost are penalties• Typica( pena(ties assigned for:

)ns%fficient coverage !ignificant interference


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x-ACP Overview

)np%ts

Site SelectionSite Selection

!ite &ata

5%siness


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x-ACP Overview

!oftware f%nctiona( 'od%(es

• Automatic Cell Planning 'od%(e: Esed to a%to'atica((y se(ect para'eters

(eading to the opti'a( RF perfor'ance of 9! and"or ET! wire(essnetworsH Opti'a( perfor'ance is defined in ter's of a cost f%nctionH Costf%nction is driven #y %ser-t%na#(e weights and pena(i/es (ac of coverage+interference+ excessive capacity and %p(in"down(in traffic B%a(ity *ET!on(y.H Opti'i/ed para'eters inc(%de: Trans'itted power Antenna 'ode(

4(ectrica( antenna ti(t echanica( antenna ti(t Antenna radiation direction *a/i'%th. Antenna radiation center height

• Site Selection 'od%(e: Esed to identify sites that are red%ndant in thec%rrent networH Red%ndancy can #e eva(%ated #ased on two criteria:

A((owed degradation fro' the #ase(ine networ: F(ag sites for re'ova(as (ong as percent of area or traffic that wo%(d (ose coverage as a res%(tof site re'ova( is #e(ow a((owed degradationH

Target percentage service (eve(: F(ag sites for re'ova( as (ong aspercent of area or traffic covered is a#ove target after site re'ova(HTarget percentage can #e set g(o#a((y or enforced per c(%tter typeH


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x-ACP Overview

&ata Co'pati#i(ity

• !ite physica( infor'ation fro' 3i/ard+ P(anet+ Asset+

Ce(P(an+ Access+ Ato(( etcH• Predictions fro' 3i/ard+ P(anet4D+ Ce(P(an+ Asset+ etc• &rive 'eas%re'ents fro' 3ider+ T4!+ C(arify+ &T)+

=Te( and Co'arco• Other data

Traffic"sector Pop%(ation"pixe( C(%tter infor'ation"pixe( Terrain height infor'ation"pixe(


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x-ACPx-ACP

GSMGSM

DATA IMPORT DATA IMPORT


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• !ing(e 4ntry Point )'port of A(( &ata *$ step import.

• Fi(e J )'port J Pro$ect J Ato((• !pecify Pro$ect Path",a'e• Physica( &ata

• ! Access H'd# fi(e 4xported fro' Ato((• 5and"Tech Read fro' F5A,& Fie(d in Trans'itters ta#(e

• E!T #e K9! >7IL+ K9! 1GIIL+ etcH for Proper )'port

*Fors !pecH.• Pixe( &ata• C(%tter • 4(evation

• Path(oss• Hd#f apping Fi(e 4xported fro' Ato((

• Path(oss *for 'axi'%' acc%racy. )'portedH• R!!) Fi(es CreatedH

x-ACP - &ata )'port

Ato((

ACP & t ) t


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x-ACP - &ata )'port

Ato((

ACP & t ) t


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x-ACP - &ata )'port

)'porting C(%tter data

• Amappingfile neeto%e createtomap Planning#oolClutter#ypes toACP preefineClutter #ypes• The fo((owing c(%ttertypesare avai(a#(e in ACP:

• &enseEr#an• Er# an

• Migh&ensityResidentia(•


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• rive ata or preictions neee to r%n Opti'i= ACP• !et 9ain Ca(c%(ation ethod 54FOR4 R!!) )'port *Too(s-Options.H• Path(oss is reco''ended over R!!) for enhanced acc%racy• !et Techno(ogy and 5and 54FOR4 A, R!!) is )'portedH

• Predictions:• Fro' 3i/ard+ P(a,et 4D+ Ce(P(an+ Asset+ Ato((+ etc: *Two options.

• )'port R!!) fi(es for a(( the sectors fro' a propagation 'ode(ingtoo(• )'port path(oss fi(es containing vertica( and hori/onta( ang(e

infor'ation for a(( sectors• &rive data:

• Fro' 3ider+ T4!+ C(arify+ &T)+ =Te( and Co'arco• )'port drive 'eas%re'ents of the %nder(ying 9! syste'H

x-ACP - &ata )'port

RF data

ACP & t ) t


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x-ACP - &ata )'port

RF data &rive test

• If t'e Mar(et oesn)t 'ave t'e #*# files +,FM# extension from #.MS/ It'as to %e exporte,

• C(icing on !et%p+ then yo% have to choose a(( para'eters and 'ove tothe right windowH

• andatory Para'eters:


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&rive data: Fro' T4!H

)'port drive 'eas%re'ents of the %nder(ying 9!syste'H

x-ACP - &ata )'port

RF data &rive test

ACP & t ) t


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Choose the !witch Fi(eFor'at *1.+ for )nstance:,oiaH

!pecify the R%(e 1 and 2

!e(ect the Reading fi(eand Add Reading fi(e*HFT.H

!e(ect the !witch Fi(e

and Add !witch Fi(e*OPT)) in o%r case.

x-ACP - &ata )'port

RF data &rive test

1

Fina((y

x ACP &ata )'port


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x-ACP - &ata )'port

RF data Prediction !'oothing

• #arget0 Improving preictions in non-riven %ins usingrive ata• )nterpo(ate the error #etween drive and prediction• )nterpo(ation '%st #e practica(

• athe'atica( interpo(ation is not eno%gh• &riven #ins averaged with different weights depending on

the distance to the #in which is #eing s'oothed

x ACP &ata )'port


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x-ACP - &ata )'port

Prediction !'oothing

• x-Propagation > Combine RSSI

• Ender(ay Predictions• &rive eas%re'ents oved to Top

• Regard(ess of R!!)• Smoot' Preictions

• Corrects for 4rroneo%s ode(+ O#str%ctions+ etc• 5ased on &rive Test &ataH

• Ese &efa%(ts Thoro%gh(y Da(idated• Diew &ifference in eas%re'ents Predictions 9)! &isp(ay

• ode( T%ning• Ad$%sts the )ntercept of the propagation 'ode(

x ACP &ata )'port


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• #raffic Gri1Map0 distribution of traffic, contains information at pixel level

(millierlags, nr of users or Kbps) It is possible to !or" !it# different trafficgrids in t#e same pro$ect (for different services)

• )'porting traffic grid fro' Ato((• !e(ect Fi(e J )'port J Traffic J &e'and J Ato((H• !pecify the Ato(( Traffic header fi(e Hhdr corresponding to the H#i(

for'atted Traffic fi(e and !et ET /one

x-ACP - &ata )'port

TRAFF)C 9rid

x ACP &ata )'port


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x-ACP - &ata )'port

TRAFF)C 9rid 9eneration

• 9enerating Traffic 9rid within Opti'i=-

ACP• !e(ect Too(s J 9enerate &e'and 9rid• 9enerate the de'and grid #ased on

three different Traffic &istri#%tionethod options

• Po(ygon

• 5y 5and"Techno(ogy• 3eight #y c(%tter if desired

x ACP Opti'i/ation


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!e(ect K9! 1GII 5A,&L

fro' the eas%red "

Predictions &ata Fi(ter

)n the Diew ode Tree se(ect

KRFJPredictions On(yJR!!)L

to view the R!!)


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x-ACP - Opti'i/ation

&ata Derification - Traffic

• Chec traffic distri#%tion (oos reasona#(e and corre(ates with theinp%t data *forecast data %sed to generated the de'and grid+ Ato((traffic 'ap.

x ACP Opti'i/ation


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!e(ect K9! 1GII 5A,&L

fro' the eas%red "

Predictions &ata Fi(ter

)n the Diew ode Tree se(ect

KRFJ&rive eas%re'ents "

Predictions J eas%re'ents

On(yJR!!)L to view the R!!)


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&ata Derification Esing Pivot Ta#(es

• )'ported pro$ect data can a(so #e viewed %sing KPivot Ta#(esL

Pivot Ta#(es are very f(exi#(e and powerf%(+ the %ser can c%sto'i/e theseas needed *The data can #e sorted in 'any different ways.

These ta#(es can #e exported and saved in csv+ 4xce(+ 3ord and ht'(fi(e for'ats

ACP Opti'i ation


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&ata Derification Pixe( confidence report

• This ana(ysis creates a set of text fi(es containing statistics of thepredictions"'eas%re'ents co'parison at sector and pixe( (eve(sH

• Fo%r fi(es are created as part of the pixe( confidence ca(c%(ation:


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2G

x-ACPx-ACP

GSMGSM

CO!I"#RI" PRO$%CT CO!I"#RI" PRO$%CT



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!e(ect the #and+ then %pdate the va(%es of: *those va(%es depend on(oca( aret decisions.

C(%tter type weightCoverage Thresho(d

Capacity


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x ACP Opti'i/ation

Config%ration - C(%tter Attri#%tes

!etting C(%tter Attri#%tes

%se &'P Coverage ie! to ssess Percentages of *ac#Clutter +pe

Carefull Consider Clutter eig#ts and +#res#olds ccording to

+#ese Percentages and .ar"et Specifics



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x ACP Opti'i/ation

Config%ration - C(%tter Attri#%tes

!etting C(%tter Attri#%tes If +raffic per Sector Imported via Import-/et!or" Consolidation 0ata-+raffic

1orecast is %sed, Clutter eig#ts are %sed to 0istribute +raffic mongst 2est-Served Pixels for *ac# Sector

3ig#er eig#ted Pixels are ssigned a 'arger Percentage of t#e +raffic

Pixels re Considered to 2e 4Covered5 if 2est Server >6 +#res#old Setting for+#at Clutter +pe

Clutter eig#ts S#ould /&+ 0iffer b .ore +#an &ne &rder of .agnitude

Clutter +pes +#at Comprise 789 or .ore of t#e +otal S#ould 2e &ne alue'ess t#an 'o! 0ensit Residential

Clutter +pes +#at Comprise :;9 or .ore of t#e +otal S#ould .atc# t#e eig#tof 'o! 0ensit Residential

The weights are re(ative va(%es *%nit (ess.H

A va(%e of 1 for a(( is the sa'e as a va(%e

of 1 for a((H 3hat is i'portant is the re(ative

difference #etween these weightsH



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Para'eters that can #e opti'i/ed are avai(a#(e in the KPhysica(L ta#:1H 4ach opti'i/a#(e para'eter has a #%tton next to itH

2H )n this window+ the %ser can set opti'i/a#(e para'eter on a per sector %asis,

5y defa%(t+ a(( the opti'i/a#(e

para'eters are set to #e opti'i/ed

for a(( the sectorsH The KOpti'i/e this

varia#(eL is checed

x ACP Opti'i/ation

Config%ration - Para'eters

As a first step+ se(ect a(( the sectors in the networH

,ext+ go to each opti'i/a#(e para'eter and K%nchecL the KOpti'i/e this varia#(eL #oxH

C(ic on KApp(yL when doneH This wi(( ens%re that none of sectors in the pro$ect can #e

opti'i/ed *next s(ide shows how to set opti'i/a#(e para'eters on a per gro%p #asis.



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)n this exa'p(e+ these sites se(ected the Antenna type and A/i'%th areopti'i/a#(esH )t 'eans+ each sector can #e opti'i/a#(e with different

para'etersH

On(y these three antenna

types wi(( #e considered

d%ring the opti'i/ation

process for the se(ected

sites

The incre'ent is

vendor specific

x ACP Opti'i/ation




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After setting a(( the opti'i/a#(e para'eters+ %se the

KDiew ode TreeL to verify yo%r settingsH

x ACP Opti'i/ation


!ectors with the se(ected KOpti'i/e this

varia#(eL #ox checed sho%(d t%rn #(%e*in o%r exa'p(e it is the KOpti'i/a#(e PA

PowerL.

!e(ect the desired

Opti'i/a#(e Para'eter

fro' the drop-down (ist


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x-ACPx-ACP

GSMGSM

OPTIMI&ATIO OPTIMI&ATIO



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After config%ring the opti'i/a#(e para'eters on a per sector #asis+ we are now ready to setthese para'eters on a net2or( 2ie %asisH *)n the ACP Ta# as shown #e(ow.

p

R%nning the Opti'i/er - ACP Ta#

ore iterations for statistica( va(idity

*for initia( testing %se (ower n%'#ers to get a

fee(ing of how (ong it taes.

- RF Para'eters to opti'i/e:

Antenna Type+ echanica( Ti(t+

A/i'%th+ and Power

•)n addition to RF para'eters+ the

opti'i/er considers the avai(a#(e #%dgetand costs of vario%s 'odifications•O#$ective f%nction is a co'#ination of RF

and #%dget costs•5%dget 'ay #e overwritten #y entering

(arge #%dget (i'it and %nifor' individ%a(

#%dget ite's

1II sa'p(ing wi(( ana(y/e a(( the

pixe(sH Red%cing this to a s'a((er

wi(( speed %p the opti'i/ation0

however+ it 'ay co'pro'ise the

opti'i/ation res%(tsC(ic on KApp(yL and go to

the O#$ective Ta# next



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A((ows weighting a'ong re(ative i'portance given to coverage+ capacity and B%a(ity

Faci(itates inc(%sion of pop%(ation+ c(%tter and traffic data

The weights are re(ative va(%es *%nit (ess.H A

va(%e of 1II for a(( is the sa'e as a va(%e of1I for a((H 3hat is i'portant is the re(ative

difference #etween these weightsH

Checing on the C(%tter #ox a((ows the

opti'i/er to prioriti/e pixe(s in different c(%tter

types #ased on the C(%tter weightings *as set

in 4ditQC(%tter Attri#%tes.

Checing on the Traffic #ox a((ows the

opti'i/er to prioriti/e pixe(s #ased on the

traffic distri#%tionH Pic the correct traffic

grid fro' the drop-down (ist

C(ic KOL when ready

p

R%nning the Opti'i/er - O#$ective Ta#



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The opti'i/er provides the fo((owing s%''ary of the c%rrent

scenario• +Please/ verify t'is info 2it' your esire optimi3ation goals

&oes the co%nt 'atch

with what it sho%(d #eS

p

R%nning the Opti'i/er - !%''ary



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Mere+ the %ser can 'onitor changes in RF costs+ 'onetary

costs+ and the percentage of covered and good B%a(ity pixe(sH

• 3hi(e the opti'i/er is r%nning+ co'pare the fo((owing:

1H K)nitia( CostL with the KC%rrent CostL and the K5est CostLH

The (ower the cost the #etter it isH

2H Percentages: )'prove'ent fro' )nitia( va(%es to the

c%rrent va(%esH

H &o((ar Cost: C%rrent do((ar cost sho%(d #e /ero for a((

para'etersH This cost wi(( increase with each change in

para'eter va(%es

+as set in t'e RF #a% of t'e optimi3ation 2ino2.

p

R%nning the Opti'i/er - !tat%s

C(ic on !tart to initiate the opti'i/ation process


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P(ease+ note the fo((owing regarding c(icing on KPa%seL in the

KACP Opti'i/ation 3indowL

1H )t 'ay tae a (itt(e whi(e #efore the opti'i/er act%a((y stopsH The

opti'i/er needs so'e ti'e to finish the iteration it is in at that

'o'entH

2H o% 'ay get a K6ot ResponingL 'essage in the top portion yo%r

windowH any ti'es+ this is $%st a te'porary stageH )f yo% wait for

so'e ti'e+ the app(ication sho%(d respondH

Epon co'p(etion of the Opti'i/ation r%n *either #y co'p(eting a((

iterations or when pa%sing and c(icing on O.+ the opti'i/er

saves a(( the changes in the appropriate pro$ect fi(esH &epending

on the n%'#er of changes+ it 'ay tae a (itt(e ti'e to save thesechangesH Again+ the %ser 'ay get a K6ot ResponingL

'essage if '%(tip(e 'o%se-c(ics are %ti(i/ed in the d%e processH

p

R%nning the Opti'i/er - Progress



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ae s%re to KSaveL yo%r pro$ect after accepting the opti'i/ation res%(tsH

)n s%''ary+ fo((ow these steps once the opti'i/ation stops:

Step$

67#.0 The %ser 'ay not get this window if the opti'i/er was

'an%a((y stopped *#y c(icing on KPa%seL. #efore finishing a(( of the

iterationsH )n that case+ sip !tep1 and proceed to !tep2H

Step8

Step9

!ave the pro$ectH

67#.0 o% 'ay

need to wait for

so'e ti'e for

!tep2 to finishH

R%nning the Opti'i/er - Progress

and x-!ite !e(ection


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x-ACPx-ACP

GSMGSM

'IT% '%(%CTIO 'IT% '%(%CTIO

!it ( ti i


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!ite se(ection process overview

Step $, Maximi3e t'e coverage of all sectors +ACPStep $, Maximi3e t'e coverage of all sectors +ACP

Step 8, .valuate removal of t'e site 2it' t'e lo2est costStep 8, .valuate removal of t'e site 2it' t'e lo2est cost

Step 9, C'ec( if coverage & capacity criteria are satisfieStep 9, C'ec( if coverage & capacity criteria are satisfie

Step :, 7ptimi3e t'e RF esign of t'e ne2 net2or( +ACPStep :, 7ptimi3e t'e RF esign of t'e ne2 net2or( +ACP

no

Remove siteRemove site

yes

Step ;,


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- The cost is defined #y a cost f%nction that considers #oth the coverage and capacity

criteria

- The site financia( cost considers a(( costs that are inc%rred and savings that are gained if

the site is deco''issioned

4xa'p(e: Site financial cost = Site 7P.* > Site CAP.*

- Consider site for re'ova( on(y if a(( techno(ogies in a(( freB%ency #ands can #e re'oved

!ite se(ection process step #y step

Step 8, .valuate removal of t'e site 2it' t'e lo2est costStep 8, .valuate removal of t'e site 2it' t'e lo2est cost

Total cost ) (ost*co+erage*cost !inancial*cost

(ost*co+erage*cost ) '#M bins*that*lost*co+erage . clutter*/eight

!inancial*cost ) 'ite*inancial*cost A+e*inancial*cost . !inancial*/eight

- CAP.* for eac' site

- (ease ter'ination costs

va(%e of deco''issioned

eB%ip'ent

- 7P.* for eac' site

- (ease costs

- %ti(ity costs

- trans'ission costs

- other r%nning costs

,ew C")

co'ponent is

inc(%ded in 7HI

re(ease to taeinterference

pena(ties into

acco%nt NN



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- Coverage criteria is defined in ter's of #ins that have the #est server signa( (eve(

#e(ow the coverage thresho(d defined for the #in@s c(%tter type

- 9!: &< R!!) thresho(ds for each c(%tter type

- ET!: 4c+ 4c")o

- )n case of d%a( #and 9! the (ower #and (ayer is defined the coverage (ayer that is

considered when 9! coverage criteria is checedH )f the operator spectr%' is ept

separate then Orange coverage (ayer is a(ways the 1>IIM/ (ayerH - Two possi#(e coverage criteria:

- Re(ative change in covered #ins *exa'p(e: 7 'ore covered #ins.

- A#so(%te of covered #ins *exa'p(e: GI of a(( #ins in the area covered.

- The coverage change is eva(%ated separate(y for each operator co'paring operator

coverage footprint #efore and after c%t-overH

- Capacity criteria is defined as fo((ows:

- 9!: 'ax ce(( #(ocing pro#a#i(ity

'ax TR=s"ce((

'ax ,# ca#inets"site

'ax ,# TR=s"ca#inet

'ax 4r("site

- ET!: 'ax a((owed capacity (oading H

F< R< 4#",o thresho(ds for each c(%tter type


Step 9, C'ec( if coverage & capacity criteria are satisfieStep 9, C'ec( if coverage & capacity criteria are satisfie



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R%nning the Opti'i/er !ite !e(ection

• !ite !e(ection can #e r%n conc%rrent(yor separate(y fro' ACP

• Esed to identify sites that arered%ndant in the c%rrent networHRed%ndancy can #e eva(%ated #asedon two criteria: A((owed degradation fro' the #ase(ine

networ *K/et!or" C#angeL option.: F(agsites for re'ova( as (ong as percent ofarea or traffic that wo%(d (ose coverage asa res%(t of site re'ova( is #e(ow a((oweddegradationH

Target percentage service (eve( *K/et!or"Service 'evel L option .: F(ag sites forre'ova( as (ong as percent of area ortraffic covered is a#ove target after sitere'ova(H Target percentage can #e setg(o#a((y or enforced per c(%tter typeH

Avai(a#(e for ET!0 wi(( #e avai(a#(e for 9! in 7HI re(ease



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R%nning the Opti'i/er !ite !e(ection

• Pressing Start in theSelect Sites &ptimi


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x-ACPx-ACP

GSMGSM

Anal34ing R%'#(T' Anal34ing R%'#(T'


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x-ACP opti'i/ation reports

x-ACP Ana(ysis of Res%(tsO i i i R


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Opti'i/ation res%(ts are avai(a#(e in 4xce(


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The 4 Ac5ChangesRe5ortTech6an 5 report provides theOrigina( and Opti'i/ed va(%es for a(( of the opti'i/a#(e

para'eters on a per sector #asis:

Opti'i/ation Reports

x-ACP Ana(ysis of Res%(tsO ti i ti R t


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The 8Ac5Changes'cheuleAgg L aggregate report provides the individ%a(and c%'%(ative contri#%tion that can #e achieved #y %ti(i/ing the opti'i/edva(%esH This report prioriti/es the changes in ter's of their effect on the

networ0 aditiona((y+ the changes are organi/ed in %ser-defined i(estonesH



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x-ACP Ana(ysis of Res%(tsO ti i ti R t


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The KAcpOpti'i/ationReportTech5andL fi(e provides

detai(s regarding the opti'i/ation inc(%ding the

opti'i/ation settings and the initia( and fina( overa(( pixe(

B%a(ity and coverage percentagesH


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x-ACP !ite !e(ection reports

!ite se(ection res%(ts ana(ysis


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!ite se(ection res%(ts ana(ysis

!cenarioU1HOff7I

!ite se(ection res%(ts can #e ana(y/ed %sing the avai(a#(e reports

x-ACP Ana(ysis of Res%(ts!it ! ( ti R t


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!ite !e(ection Reports

Once !ite !e(ection is r%n+ a new fo(der is created containing specific reports for the different !!

scenarios

Scenario?name,InfoReport,#ec'!an,csv - This fi(e contains infor'ation regarding the

opti'i/ation settingsH These inc(%de:Percentage Coverage Change or !ervice


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!ite !e(ection ReportsScenario?name,Relief,#ec'!an,csv - This fi(e contains infor'ation to #e %sed #y Opti'iVs DCF

Forecasting Too(H

Scenario?name,SelectSiteReport,#ec'!an,csv - This fi(e contains infor'ation regarding the

sites that were se(ected for deco''issionH The co(%'ns inc(%de:Cell I - #'e I of t'e site selecte for ecommission,

.rlang - #'e num%er of erlangs t'e site 2as serving,

,%'#er of Pixe(s !erved - The n%'#er of pixe(s the site served at or a#ove the thresho(d %sed

for prediction"drive 'eas%red data i'port *typica((y -1I7 d5'.H

,%'#er of Pixe(s Covered - The n%'#er of pixe(s the site covered at or a#ove the coverage

thresho(d defined for the c(%tter typeH

,%'#er of Pixe(s


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!ite !e(ection Reports

After !!+ and once the sectors proposed for re'ova( have #een

de(eted+ the distri#%tion of traffic has changedH This has to #e

ana(y/ed caref%((y in order to 'ae s%re that every existing site canacco'p(ish with the new distri#%tionH There is one %ti(ity KEpdate

Traffic 4r(angsL which %pdates traffic per sector according to the

new scenario


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x-ACP RF reports

x-ACP Ana(ysis of Res%(tsRF Reports


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&etai(ed Reports for Ana(ysis #y C(%tter Typex-ACP J Reports J RF J 9!"ET! !tatistics

ReB%ires a Traffic &e'and 9rid

R%n for 4ach 5andRes%(ts Can 5e &isp(ayed in Ta#%(ar or 9raphic For'at

RF Reports

x-ACP Ana(ysis of Res%(tsRF Reports


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RF Reports in 9)!&isp(ay

Tied to eas%red

" Predictions &ataFi(ter

Coverage R!!)

&o'inance

Coverage A((*%st 'eet R!!)

A,& %a(ityThresho(ds.

RF Reports

x-ACP Ana(ysis of Res%(tsRF 5ase(ine &e(ta


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&etai(ed RF !tatistics For 5ase(ine and C%rrent Pro$ectx-ACP J Reports J RF 5ase(ine &e(ta J 9!"ET!->7I"1GII !tatistics

&efine 5ase(ine Pro$ect *Too(s J Options.

ReB%ires RF Reports for 5oth 5ase(ine and C%rrent Pro$ectR%n for 4ach 5and

Res%(ts Can 5e &isp(ayed in Ta#%(ar or 9raphic For'at

RF 5ase(ine &e(ta

x-ACP Ana(ysis of Res%(tsRF 5ase(ine &e(ta


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RF 5ase(ine &e(ta in9)! &isp(ay

Physica( *Antenna+

4Ti(t+ Ti(t+ A/i'%thChanges

Tied to eas%red "Predictions &ataFi(ter

Coverage R!!)

&o'inance*interference.

Coverage A(( *%st'eet R!!) A,&%a(ity Thresho(ds.

RF 5ase(ine &e(ta

X-ACP-Training v0.1 Moto

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