RANOP_Part1_Introduction.ppt

8/21/2019 RANOP_Part1_Introduction.ppt

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Presentation / Author / Date1 © Nokia Siemens Networks

RANOP Radio Network Optimization




! © Nokia Siemens Networks

Objectives

At the end of the course participants will "e a"le to

# understand the process of optimization

# understand the $ualit% definition

# perform network assessment# use &SS counters and 'P(s in dail% work

# perform "asic optimization tasks

# know which features can "e used in optimization process

# identif% tools needed in optimization pro)ect

# &SSPAR is a trainin* related to parameters

# +, RANOP is a optimization trainin* course related to +,




+ © Nokia Siemens Networks

Contents of RANOP

# (ntroduction to Optimization

- .hat is network optimization

- .hat should "e taken into account when startin* NetworkOptimization

# Assessment

- Situation at the moment

# 'P(s and 0easurements

- 0easurement ta"les 'P(s

# Solution findin*s 2optimization3 and verification

- 0a4imum *ain in limited time and investments

# Recommended features

# (ntroduction to Optimization

- .hat is network optimization

- .hat should "e taken into account when startin* NetworkOptimization

# Assessment

- Situation at the moment

# 'P(s and 0easurements

- 0easurement ta"les 'P(s

# Solution findin*s 2optimization3 and verification

- 0a4imum *ain in limited time and investments

# Recommended features




5 © Nokia Siemens Networks

Introduction to Optimization – table of contents

# Optimization - Process flow

# Optimization - As a 6echnical Pro)ect

# .hat is Network Optimization

# 7ow Network Optimization can "e done

# .hat is Network 8ualit%# 7ow Network 8ualit% can "e measured

# (nvestments vs9 &enefit

# Optimization Pro)ect : Risks

# 6ar*et definitions

# ;4amples from real network




< © Nokia Siemens Networks

Optimization – Process Flow

Project

Starts

INP!S

Assessments "

Anal#sisSolutions

Priorization$or% ordersSolution&erification

Implementations

Are Criteria's

Fulfilled

Project

(nds

)onitorin* +

,ata collection

Anal#sis Solutions

)ore detailed inputs

-if necessar#. based

on assessment

/es

No

Project

report

Performance

Problems

Note0

Optimization can be also a continuous process




= © Nokia Siemens Networks

Optimization – Process bo1 e1planation

# Performance problem

- Customer complaints> performance monitorin*> "e num"er 1 operator etc?

- ifferent kind of definitions and tar*ets

# Input

- Performance data etc

# Assessment and anal#sis

- Network status "ased on inputs

- Network anal%sis for preliminar% solutions

# )ore detailed input

- (f tar*et etc must "e specified "ased on assessment / anal%sis phase

# Solutions - Preliminar% solutions "ased on assessment / anal%sis

# Priorization

- 6ask order "ased on inputs/limitations 2> €, etc 3




@ © Nokia Siemens Networks

Optimization – Process bo1 e1planation

#$or% Order

- Official work order 2.O3 for optimization tasks#Implementation

- (mplementation of the optimization task 2"ased on .O3

#Solution verification - erification> that ordered tasks have "een done properl%

#Criteria C2ec% - (s network performance fulfillin* accepted criteria

#)onitorin* + data collection - Performance data collection

- eeper performance monitorin*

#Anal#sis

- eeper performance data anal%sis#Solutions

- Primar% solutions "ased on anal%sis

#Project report - Binal pro)ect report




© Nokia Siemens Networks

Optimization – As a !ec2nical Project

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CT

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…

INP! ,ata

# OSS

# 3enc2mar%in*

# Re*ulator

# ,rive !est

# Customercomplaints

4

INP!S ",(FINI!IONS

Optimization

tas%s

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)onitorin*

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Criteria C2ec%s

Reports

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FinalProject

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mone#

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D © Nokia Siemens Networks

0a4imize network $ualit% E

# as perceived "% the su"scri"er

# as perceived "% the operator within the *iven scope

&alance investment versus achieved $ualit%

$2at is Networ% Optimization7




1F © Nokia Siemens Networks

8ow Networ% Optimization can be done7

Note0 Case 9 and :; Same <ualit# improvements over t2e period=

Optimization projects

>? <ualit# is improved after projects

@ualit# trend

@ualit# trend

<ualit#

time

Case1E

Optimization pro)ects to improve $ualit%

Case!E

0onitorin* GHcontinuous optimization 2part ofnetwork plannin*3





$2at is Networ% @ualit#7

# Network $ualit% can "e measure

# (nterference level

# Covera*e

# rops

# rops / ;rlan*# 0OS

# Customer complaints

⇒6here are man% different wa%s to measurethe $ualit% of the network




1! © Nokia Siemens Networks

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# 0ail &o4> ata> Ba4# 7SCS> ,PRS> .AP# Customer Care

# Bault% 7/. or S/.# 0o"ile 8ualit%# 0isuse of ;$uipment

# 7./S. Bailures# Network Confi*uration# Network 6raffic# Spectrum ;fficienc% # Covera*e %es/no# Service Pro"a"ilit%# 8ualit%# Call Set Ip 6ime# Call Setup Success Rate# Call Completion Rate

# 7/. Costs# Su"scription/Airtime costs# Additional Services Costs

# Network ;$uipment Costs# 0aintenance Costs# Site Jeasin* Costs# 6ransmission Jink Costs

$2at is Networ% @ualit#7

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# 0ail &o4> ata> Ba4# 7SCS> ,PRS> .AP# Customer Care

# Bault% 7/. or S/.# 0o"ile 8ualit%# 0isuse of ;$uipment

# 7./S. Bailures# Network Confi*uration

# Network 6raffic# Spectrum ;fficienc% # Covera*e %es/no# Service Pro"a"ilit%# 8ualit%# Call Set Ip 6ime# Call Setup Success Rate# Call Completion Rate

# 7/. Costs# Su"scription/Airtime costs# Additional Services Costs

# Network ;$uipment Costs# 0aintenance Costs# Site Jeasin* Costs# 6ransmission Jink Costs

)ain focuson Networ%




1+ © Nokia Siemens Networks

8ow Networ% @ualit# can be measured7

Customer complaints

# Can detect pro"lems incertain re*ions that aremasked "% statistics9

# A "it too lateKK

# 6hese are conse$uences> notreasons

Field !ests

#,eo*raphicall% locate

pro"lems#6%picall% downlink

#Snapshot

#;4pensive and timeconsumin*K

From Networ% ,ata

# Allows centralized datacollection

# A cost efficient wa% to monitornetwork $ualit%

#Pro"lems can "e found ver%

$uickl%> "efore customercomplaints

6hree main forms to monitor and detect the needs of

optimizationE





Investments vs= 3enefit

# .ei*ht of $ualit% tar*ets chan*es in time

# (n *reen field the covera*e is most important# Jater capacit% / $ualit% / covera*e are all most important

⇒Same with optimization> how to optimize to *et the "i**est"enefit

# .hich are the "i**est "ottlenecks in pro)ect# Covera*e> capacit% or $ualit%

@ualit#

Covera*e

Capacit#




1< © Nokia Siemens Networks

Optimization Project B Ris%s

# Scope is not defined well

- Bor e4ample air interface optimization GH "i**est "ottlenecks are inCore or in transmission

# Inrealistic tar*et definitions

- 'P( risks

6ri**erin* points 2multi vendor 'P(s3 - Resources9 Bor e4ample no transmission en*ineers availa"le

- 6ime and mone%9 ! weeks time to re:plan transmission network

# Processes are not supportin* time schedule

- Bor e4ample due to the internal processes it will take 5 weeks to

implement parameter chan*e

# Ised tools

- ;4cel macros are replacin* post processin* / plannin* / monitorin*tools




1= © Nokia Siemens Networks

!ar*et ,efinitions

Target

)one#

Customercomplaints

Performance

ata 2'P(3 priorization

Resource

Assessment

!ime

Other (nputs

!ar*et is alwa#s a compromise between inputs




1@ © Nokia Siemens Networks

!ar*et ,efinitions B Solutions

After assessment - what can "e done with

- Certain mone% with certain time with certain resources

# &ad fre$uenc% plan "ut pro)ects lasts onl% ! weeks No time to do totall% new fre$uenc% plan

# &i**est "ottleneck is lack of transmission capacit% Should "e optimize air interface if more *ain will "e *et from transmission

network

# IJ / J covera*e limitations

(f IJ limited> there is no need to "uilt new sites9 IJ should "e improvedinstead of J





!ar*et definitions4

6ar*et AreaE - ,eo*raphical area included in the pro)ect> num"er of &SCs and sites

6imeframeE

- 6imeframe for the completion of the pro)ect

0ethodolo*%E - Arran*in* the reportin*

- 6he process to implement the chan*e re$uests 2CR3

- rive test> used or not

- (mplementation - who will implement chan*es

6oolsE

- Choice and preparation of all the necessar% tools to develop theoptimisation process




1D © Nokia Siemens Networks

!ar*et definitions4

Share Of Responsi"ilitiesL

- A*reein* who 2NSN or the Operator3 is responsi"le for ever% task

Pro)ect Or*anizationE

- Or*anisation of the whole pro)ect team> resource dimensionin*

Beatures and Strate*iesE

- Beatures that are currentl% in use> and what others can "e implementedif needed in order to improve the tar*et indicators 2;9*9 7alf Rate>%namic SCC7 etc93

- Operator 7O/Ad)acenc%> 6raffic> ,PRS strate*% in order to check if theparameters are correctl% set for that purpose

Software or hardware up*radesE

- 7ow to deal with S./7. up*rades




!F © Nokia Siemens Networks

(1amples from real networ%

Automated networ% performance optimization

Customer c2allen*e

# 6o ensure *ood performin* ,S0 network to minimize churn

Our solution # Automated measurement "ased optimization process E

Anal%ze the current performance in network2mo"ilit% and interference3

(dentif% actions necessar% to improve performance

Optimize accuratel% "% usin* knowled*e on current network confi*uration and networkperformance and traffic measurements

Customer benefits

# Accurate and repeata"le optimization 2automation3

# Optimized usa*e of network resources

# 0inimized usa*e of availa"le fre$uenc% spectrum

6 i v e N e t

w o r %

( 1 a m p l e

RANOP_Part1_Introduction.ppt

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