3GRPESS_Annex1

7/18/2019 3GRPESS_Annex1

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2 Nokia Siemens Networks Presentation / Author / Date

3G Radio Network PlanningToolsCoverage and interference planning

Annex 1 to 3GRPESS


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Path oss !ased Approach

relatively simple and most commonly adopted approach

uses so tware tools which are relatively mature generates results which are easy to interpret makes use o maximum allowed path loss fgures rom link budgets Generates plots and statistics or 3G coverage, best server areas

and C/

!ink "udget result or maximum allowed path loss #$% d"&ownlink transmit power in the planning tool 33

d"m'ode " antenna gain assumed in the link budgets #( d"i)eeder !oss assumed in the !ink "udgets *

d"+lanning tool signal strength threshold -#

d"m

.pplicable to'et.ct +lanner

hould also account or di0erences between the uplink and downlinkpath loss 1this approach uses the downlink path loss to gauge coverage2


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Compute Path Loss

Configure withDefault Config.Compute

Service LinkBudgets

Coverage and Cell Isolation Analysis

Import SiteCandidates

ApplyPropagation odel

DefinePropagation odel

Exa"ple Process for Path oss !ased Approach

+rocess should be customised or specifc pro ect re4uirements

Coverage and Cell solation analysis should include best server areaanalysis


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Coverage and Cell Isolation Analysis

Coverage Analysisand Optimisation

Cell Isolation Analysisand Optimisation

!"isting process #ew process

5ask divided into two activities

ervice coverage to be maximised while managing cell isolation Cell isolation translates to system capacity

Coverage and Cell #solation Anal$sis+ath !oss "ased .pproach


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ame array as currently used 6 termed 7"est erver8 array 9e4uirement to identi y dominant clutter type and use appropriate coverage threshold 5hresholds computed rom dominant o uplink and downlink link budgets

Exa"ple Coverage Arra$+ath !oss "ased .pproach


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Exa"ple Coverage Report+ath !oss "ased .pproach

ervice coverage report or dominant clutter type :sed as a tool or 4uanti ying gains and losses in coverage per ormance

Coverage specifed on a per clutter type basis


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Exa"ple Cell #solation Arra$+ath !oss "ased .pproach

&ownlink C/ array used 6 termed 75otal nter erence8 array :sed as a tool or 4uanti ying gains and losses in coverage per ormance

9e4uirement to include an edge ;one o sites +oor cell isolation can appear as poor C/


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Exa"ple Cell #solation Arra$+ath !oss "ased .pproach

C/ report or 6< d" threshold, also generate or 63d", =3d" and =


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S enario mo!e""e! #$ %/&ana"$sis' no S()

S enario with %/& *reater than+6!,' mana*ea#"e S()

S enario with %/& "ess than+6!,' e- essi.e S()

Acco%nting for Soft &andover '#(+ath !oss "ased .pproach

C/ analysis does not explicitly account or so t handover connections some o the inter ering connections will actually be so t handover connections

C/ less than


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%/& +6 !,orres on!s to

e- essi.e so than!o.eran!i!ates

%/& +6 !,

orres on!s tosu i ient so than!o.eran!i!ates

Acco%nting for Soft &andover '##(+ath !oss "ased .pproach

3G simulations can be used to illustrate the correspondence between C/ andthe number o candidate so t handover connections

3G so t handover parameter set may be used to manage the resultant so thandover overhead

+ th ! " d h


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Poor !ominan ean! stron* #est

ser.er si*na"

Poor !ominan ean! weak #estser.er si*na"

(e-a*ona" Site

%/& +6 !, %/& %o.era*e

Areas o oor!ominan e some

with "ow %/&er orman e

Exa"ple of a Poor Cell a$o%t+ath !oss "ased .pproach

.reas o poor dominance correspondto ine>cient use o the air inter ace

?eak best server signals lead toareas susceptible to inter erence

olution is to change the cell layoutrather than increase powers

+ath !oss "ased pproach


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a h antenna!ire te! #etween two

others

,oth o.era*e an!%/& er orman ere"ati.e"$ *oo!

%/& +6 !, %/& %o.era*e

%"o.er"ea Site

Exa"ple of a Good Cell a$o%t+ath !oss "ased .pproach

Cloverlea design

C/ patterns mesh &ominance areas

relatively well defned



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No !ownti"ts

oor %/&

%/& 12 !,%/& 12 !,%/& 9 !,%/& 6 !,

%/& 3 !,

%/& +6 !,

%/& +3 !,

%/& 0 !,

Downti"ts o u to 6

im ro.e! %/&

Exa"ple Network Perfor"ance '#(+ath !oss ased .pproach

.n example urban area @aximising coverage per ormance does not encourage antenna downtilts

&owntilt should be used with caution to prevent excessive increases insite density



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Dense r#anr#an

Su#ur#an

ura"

Coverage

No !ownti"ts

non+ onti*uous "o a" o.era*e

Downti"ts o u to 6

onti*uous "o a" o.era*e

+ath !oss ased .pproachExa"ple Network Perfor"ance '##(

Corresponding plots o service coverage per ormance

!ocal dense urban service coverage per ormance improved &owntilts have improved both the C/ and the local coverage per ormance



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- essi.e"$ hi*hantennas

Si*ni i ant o.er"ao o.era*e areas

De*ra!e! %/&at remote"o ations

e!u e!!ominan e o

nei*h#ors

-tensi.e!ominan e or

the hi*hantenna

AppropriateAntennaHeights

Excessive Antenna Heights

#"pact of Antenna &eight+ath !oss ased .pproach

Aigh antennaplacement increases

levels o remoteinter erence


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3G Si"%lation !ased Approach

is more complex and time consuming is o ten used or ocused 3G system investigations rather than wide area radio

network planning uses so tware tools which are less mature generates results which are more di>cult to interpret makes use o 3G parameter assumptions and a 3G tra>c profle Generates plots and statistics or coverage, capacity, so t handover, intercell

inter erence, uplink load and downlink transmit power, A &+. +er ormance

@onte Carlo imulation static simulation which considers snap shots in time or each snap shot a population o mobile terminals is distributed and the radio

network behaviour evaluated simulation results are recorded as an average over many independent snap

shots probability distributions can be generated in contrast to a dynamic simulation which runs over time

.pplicable to'et.ct +lanner

3G imulation "ased .pproach


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Snap shot

Calculate cell transmitpowers per user

Evaluate total Celltransmit powers

Calculate UE transmitpowers

Evaluate Uplink Cell

Load Repeatuntil

powersconverge

Record results

Repeatuntil

simulationconverges

Start

Distri ute terminals

Iteration

3G imulation ased .pproach3G Si"%lation Algorith"

Bn frst iteration the

uplink load is % andthe total cell transmitpowers are only theC+ CA and CommonControl Channels

:Ds are blocked or aspecifc iteration i theuplink load or celltransmit power is toohigh

:Ds are blocked or aspecifc snap shot i theyare blocked orconsecutive iterations



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Tune

Validate

$alidated #etwork

UpgradeCPIC%Power

Soft %andover&verhead

'ealistic traffic profiles

Include %SDPA

Increase sectorisation

Add site

Incr. B(S t" power

Add carrier

Exa"ple Processpp

ncreased scope or optimisation .llows capacity to be 4uantifed and so capacity upgrade solutions can be studied

)igure below represents one example

Coverage

Capacity

Loaded network

3G imulation "ased .pproachCP#C&


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ppCP#C&)pti"isation

5he Common +ilot Channel 1C+ CA2 is used by :D orE synchronisation and channel estimation handover and cell re selection decisions

C+ CA @easurements are based upon 9 C+ and Dc/ o 9 C+ is an absolute power measurenet Dc/ o F 9 C+/9 , and does not account or orthogonality

C+ CA Dc/ o and 9 C+ coverage must be su>cient C+ CA Dc/ o a0ected by cell load

C+ CA typically assigned #% o the total downlink transmit power capability ignoring intercell inter erence, this results in an Dc/ o o #% d" when cell is ully loaded ntercell inter erence will urther decrease this value

+otential or limited C+ CA tuning, e g i neighbouring cells have @A. and verylarge di0erences in their cable losses

C+ CA are tuned then important to ensure so t handover balance is maintained

9) optimisation should be completed prior to parameter optimisation



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/&o Arra$%/& Arra$

Exa"ple CP#C& Ec*#o Arra$ imilar to the C/ array generated by the path loss approach .reas o poor C+ CA Dc/ o correspond to areas o poor C/ !ive network minimum re4uirement or cell selection is typically #( d" 99C Connection establishment success rate is poort at #( d" Dxample planning minimum re4uirement is #H d" when network is loaded

3G imulation "ased .pproachl $


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S%P Arra$

Exa"ple CP#C& RSCP Arra$

+rovides a measure o link loss, i e linkloss F C+ CA transmit power 6 C+ CA9 C+

!ive network minimum re4uirement orcell selection is typically ##H d"m

:D receiver thermal noise is typically

#%% d"m and so an 9 C+ o ##H d"corresponds to an Dc/ o o #H d" whenin thermal noise limited scenarios

n 99C connected mode, inter systemhandover can be triggered at higher

C+ CA 9 C+ and Dc/ o

3G imulation "ased .pproachS f & d ) i"i i


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Soft &andover )pti"isation

o t handover :D is connected to multiple 'ode "

o ter handover :D is connected to multiple cells belonging to same 'ode " o t and o ter handover generates overheads

o t handover overhead transmit power, 'ode " baseband processing, ub, 9'C o ter handover overhead transmit power

Bverhead must be su>cient to ensure reliable handover and maintain cell edgeservice 4uality

5otal Bverhead should not exceed $%

9) optimisation should be completed prior to parameter optimisation

3G imulation "ased .pproachExa"ple Active Set Si+e


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A ti.e set si e 3 !, in!ow A!!: A ti.e set si e 4 !, in!ow A!!:

Exa ple Active Set Si+eArra$s '#(

mpact o addition window

3G imulation "ased .pproachExa"ple Active Set Si+e


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A ti.e set si e with a!in*: A ti.e set si e no a!in*:

Exa ple Active Set Si+eArra$s '##(

low ading standard deviation and correlation actor has impactupon active set si;e


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&S,PA Radio Network Planning Process

Dxisting radio network planning process can be applied to A &+. )ocus continues to beE

Coverage &ominance 1inter cell inter erence2 i;e o best server areas

!ink budgets should be completed or A &+. @acrocell deployment strategy likely to continue to be based upon 9--

link budget analysis ndoor solutions and specifc tra>c hotspots may be planned based upon

A &+. link budgets +lanning tool can be used to generate an expectation o A &+.

throughput A &+. supported by 'et.ct +lanner 6 A &+. throughput results can be

generated


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&S,PA in NetAct Planner

Db/'o speed o0sets"earer Coding rate Db/'o % 3 km/h H% km/h #*% km/hI+ JK#K3( I+ JK3( % (* H #- % 33% %3I+ JK*K3< I+ JK3< % HL H #( % 3*% %*I+ JK3K3< I+ JK3< % HL H #( % 3*

% %*I+ JK$K3< I+ JK3< % HL H #( % 3*% %*I+ JKHK3< I+ JK3< % HL H #( % 3*% %*I+ JKHK$3 I+ JK$3 # 3- H *# % 3 orres on!s to ha ter BA roa hes to 3@ a!io NetworkP"annin*C in 3@ a!io P"annin* @ui!e?

3GRPESS_Annex1

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