Deploying and Optimizing UMTS Network 2D PT Wireless

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PT / Wireless China 2003

Deploying and Optimizing UMTS Networks. NORTEL NETWORKS CONFIDENTIAL Slide 1

November, 2003

Deploying and Optimizing UMTS Networks.

Javier Garcia, Director UMTS Product Solutions IberiaNovember 2003


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November, 2003

Agenda

UMTS Market Momentum

UMTS Network Design

UMTS Network Optimization

Some Lessons Learnt


3/24



November, 2003

UMTS is starting to gain momentum

Key networks in commercial service today

Mobilkom: Austria

Hutchison: Australia, Austria, Denmark, Italy, Sweden, UK

J-Phone: Japan

12 networks launched today, over 30 networks will be

launched by YE03

Multiple mobiles now becoming available

Samsung, Nokia, LG, Sanyo, NEC, Motorola, Siemens

(Motorola), etc..

Significant volumes will be available in 4Q03

Subscriber uptake is well underway

Over 1.5 million UMTS subscribers worldwide today, 3million by YE03

UMTS coverage is well underway

Many Western European operators have deployed

thousands of BTS

Over 90% of Japanese population covered by UMTS

Some chal lenges

remain

but the indust ry is

mov ing in the

r ight di rect ion


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November, 2003

Agenda


UMTS Network Design


Some Lessons Learnt


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November, 2003

Comparison GSM vs UMTS

GSM Primarily for Voice services

Some data included with

GPRS

Capacity is closely related to the

installed equipment

Quality of channels primarily

impacted by co- & adj- channel

interference

Sequential planning process

Coverage, Capacity largely

sequential

Capacity can be obtained by

HW increase with no impact

on coverage

UMTS Primarily for multi-services

Packet and Circuit Data, Voice

Capacity is not only related to the

installed hardware

Quality and capacity impacted by both

intra-cell and inter-cell effects

Interrelated process

Coverage and Capacity balance

Detailed interference planning and

capacity Analysis

Iterative process through simulation

UMTS radio network design requi rements are more com plex

com pared to Tradi t ion al GSM:

Each u ser is inf luencing the others!

Detai led interference planning and capaci ty analys is!


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November, 2003

Design Process

Geographic Environment

Antenna height

Penetration factors /Propagation Model

Services (QoS,Guarantee along areas& traffic)

Speech

CS data

PS data

Product Performances BS

MS

Quality of coverage Coverage areas and

associated Area reliability

Type of coverage

Inputs to Consider: Service with uplink

reliability and loading : Cell range

Cell capacity

Cell radius.

Capacity

Number of sites and

configurations requiredfor predefined networkrequirements

Upgrade path forconfigurations over theyears of the exercise

Outputs Expected


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November, 2003

Impact of the services in the network Design

Higher rate services have a shorter possible distance: Higher the throughput Lower Cell Range (Higher power is allocated to each user)

The final traffic will be a mix of all the available RABs

weight distribution activity factors

In the initial stages, the load in the network will be light initial good basic radio design should be able to warranty a good radio quality

As load will be increased an important role will be played by the per RABuser profile: If the activity factor is high, the radio conditions will be under a severe load

If the activity factor is low, the radio conditions will remain


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November, 2003

Enhanced Asymmetrical

Network Design

e.g. PS UL:64 / DL:384kbps

UL load < 50%

B / x

P

Thanks to

MCPA@45W

Asymmetrical

Network Design


50% UL Load

b

P

Symmetrical

Network Design


50% UL Load

B

P

BTS

CAPEX/OPEX op t imizat ion versus expected UL traf f ic

Enhanced Asymmetric Network Design

Up-to 21% less sites

Nortel solution provides 15% less

CAPEX than a 30W solution

Improves site re-use

45WPA makes the difference


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November, 2003

RF Design Approach?

PA & TD

Carriers

CEM

Nortel Scalable

Base Station

Coverage

Capacity

W-CDMA trade-off

Geographic Inputs Market ing Inputs

Services guaranteedMinutes & Mbytesper user per monthType of application

Coverage target

Traffic per environmentSpecific objectives

(micro, indoor, ..)


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November, 2003

A simple solution is the best...

The traffic profile is something unpredictable.

The user behavior is also unpredictable.

The final site locations are also unknown.

The environment impacts performance, and the way it changes is

also unpredictable

All those variables have got a direct impact on the performance of

the network, and they are not controlled by the operator; thereforea simplified design approach is the only sensible one...

A simple app roach would b e the mos t ef fect ive solut ion


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November, 2003

Simple approach

1. Define a link budget based on the most restrictive RAB that will beused in the system

2. Consider Asymmetric Services and a Variable Load Factor

3. Generate a nominal design, based on the estimated inter-sitedistance and tuned with the knowledge of the traffic distribution in

the area4. A calibrated model should be used. Look for real concrete

candidates for each of the nominal cell sites.

5. Once the site has been installed, it should be commissioned andintegrated with the initial parameter settings.

6. Pre-launch optimization phase should start once a significantamount of sites in a cluster has been integrated

The most important steps are the ones impact ing the

detai led im plementation of the netwo rk l ike

candidate select ion and antenna layou t


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November, 2003

Con trol of Cov erage & Interference is cr i t ical !

Key RF Design Considerations

Minimize out-of-cell interference

Maximum use of sectorization in Urban areas

Clear Dominant Server required

Use of regular Site Spacing & Antenna heights

Limitations in Planning tools to simulate real network

Rely more on real field experience/data where possible

Flexibility in Coverage control: the most important optimization factor

Key RF Design metrics CPICH EC/Io

UE TX power

Handover State

Advantages of owning a 2G network. Knowledge of:

existing Traffic distribution @busy hours: accurate traffic maps

performance for individual sites: eliminate tall & uncontrollable sites

areas with excessive GSM multiple servers: minimize SHO in 3G


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November, 2003

Agenda


UMTS Network Design


Some Lessons Learnt


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November, 2003

Comparison GSM/UMTS

GSM Optimisation

Recommended parameter settings

Repetitive drive-test campaigns (upto 5) for Pre-launch optimisation

Network

Launch

UMTS Optimisation

Recommended parameter settings

Single drive-test campaign for Pre-launch optimisation

E2E Perf test (GPRS)

High

Traffic

Mainly system Parametersoptimisation

RF&System Parameters optimisation

ND optimisation

New features implementation

Densification

RF Parameters Optimisation

ND optimisation

New features implementation

Densification

ATM parameters optimisation

Mainly RF parameters optimisation

Services-Based optimisation


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November, 2003

Optimisation Stages

Trial

VO

NetworkLaunch

Pre-launch Optimisation Post-launch Optimisation

No network load (traffic limited)

Cluster optimisation based mainlyon drive tests data

High optimisation gains

Significant network load (increasing)

Optimisation based mainly on statisticaldata (counters, Call Trace)

Optimisation gain is less (but baseline

performance are higher).

First Tuning: The main objective is to prepare

network launch by validating sites

functionality and by performing basic

network optimization through drive

tests

Fine Tuning: The main objective is to optimize

performance of a network influenced

by traffic load, using real system

performance data and/or drive tests

data


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November, 2003

Pre-launch optimization process

Configuration AuditSystem parameters check (Engg rules, consistencies,)

Recommended values setting

Shakedown

Network integrity verification H/W trouble shooting

Cluster Optimisation

Parameters optimisation

neighbouring relationships optimisation

Network Optimisation

Optimisation spreading to all clusters

Network fine tuning

E2E Data Audit

Ideal radio

conditions


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November, 2003

Post-launch optimization

Optimize performance of a network influenced by traffic load,

using real system performance data and/or drive tests data Performance Monitoring (identify problem areas): KPI

Root Cause Analysis (identify solutions): Log analysis, Drive Test


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November, 2003

Example of Optimization in a Cluster

100 Sites Intensively RFOptimized.

>150 sectors used over driveroute, interference from totalcluster of 300 sectors.

> 250 CS or PS data calls made.25000 Call Seconds of DCHoccupancy.

Call Traces collected fromNetwork and UE

Cluster OptimizationImprovement

Mean Holding Time

(continuous Calls)237 %

Dropped Call Rate Voice 79 %

Dropped Call Rate PS 384 72 %

Call Setup Success Voice 14 %

Call Setup Success PS

384

18 %

Successful Calls Voice 32 %

Successful Calls PS 384 44 %

Metrics Evolution


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November, 2003

Agenda


UMTS Network Design


Some Lessons Learnt


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November, 2003

Some Lessons Learnt

According to Nortels original recommendations, and based onCDMA experience, the following items were confirmed: Absolute need to best compromise between coverage and capacity offer

Antenna TypesElectrical Tilt & Horizontal Beamwidth

Antenna ConfigurationAvoid 3 sectors within 180

Importance of HW configurationshigh correlation with the QoC; From 40 up to

50% of HW changes during optimization Importance of Site Selectiona supplementary effort when Acquisition to match the

objectives / requirements even the main driver is to go for a simple design

Troubleshoot an AreaA new site is not always a solution (macro & microcellularapproach)

Implementation ofRRM algorithms & RRC principles in trials andearly networks is helping to better scale network capacity and

performance offering Nominal Cell Design Measured coverage compliant to original

RF design

2G Sites needs to be specially analyzed If the level ofinterference is high, is better not to build it than to remove it


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November, 2003

UMTS End-User Applications Performance

Video Telephony High Quality Video Streaming

Video Mail

Picture and Video Messaging (MMS)

Intranet Access (IP VPNs)

Enhanced video services (TV, Broadcast, web cams) Location Services

JAVA games

Push to Talk

Gaming

Ring Tones

Voice

Voice based services

Person-to-Person text messaging

Text Based Information (push/pull)

Unique

WorkBetter

Legacy


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November, 2003

But its necessary to deploy

future proof hardware

Fundamentals of W-CDMA: Power control

Channel elements

Downlink for capacity

Uplink for coverage

Soft and softer h/o

Cell breathing

Evolved W-CDMA: Single cabinet solution

MCPA

HSDPA

IP UTRAN

Pooled CEMs

Open Iub interface

Minimal incremental investment Investment focus

8 years in CDMA has al low ed Nortel

to p repare for the long term


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November, 2003

Conc lus ions

The var iables that inf lu ence the behavior o f the sy stem are excessive,

the number of assumpt ions th at would need to be per formed makesany study b e just a guess.... The only way of f indin g resul ts is real ity !

Nortel has suc cessful ly design ed and opt im ized UMTS networks and

is gather ing real f ield exper ience to be able to d r ive the market

requirements.

WCDMA system is sign i f icant ly more sensi t ive to interferences that

GSM, i t is very imp ortant to perform a good RF design and

Optimizat ion to achieve the best performance

Most o f the advices com ing from th e CDMA exper ience are real lyhelp ing us to solve the problems we are finding on the f ield.

Nortel Networks is uniq uely pos i t ioned to del iver best in class UMTS

networks and is w i l ling to help you in successful implementat ions of

UMTS ...


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Deplo ing and Optimi ing UMTS Net orks Slide 24

Thank you ( & thank you in Chinessee!!! )

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