Henrik Christiansen

7/28/2019 Henrik Christiansen

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End-user QoSWhat, why and how

Dr. Henrik Christiansen, CTO

CommWyse A/S, Denmark

[email protected]

3G optimization

Rome March 28th March 30th, 2006


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Motivat ion

Data services new opportunities

Everybody wants optimum QoE

What is QoE? How to measure QoE?

What to do?

3G threats

Competing technologies -Wimax, WLAN, EDGE Services must work from day one

What tools do operators need?


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A quick test

Can you answer these questions?

What will be the impact on existing services

when:

Traffic increases?

A new service is added?

The QoS configuration is changed?

and how will that impact your business?


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Presen tat ion overview

The main challenge

Application level QoS

What it is How to measure it

Use of simulation

Case studies Summary and conclusions


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The main chal lenge

Planning

Meet requirements: cost, coverage, quality,capacity

Coverage / capacity interlinked Multiple services and QoS

Planning per service

Variable bit rates Multiple QoS classes

Main challenge:

Planning a multi-service, multi-datarate network

Capa-city

QualityCove-

rage

Cost


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End-to-end

RRC

GMM

SM

RANAP

transport

TCP

WCDMA(Radio)

ATM

GTP-U

UDP/IP

WCDMA(Radio)

ATM

GTP-U

Uu IuPS Gn GiUE Node B SGSN GGSNUser

EquipmentRadio Network

ControllerServing GPRS

Support Node

Gateway GPRS

Support Node

UDP/IP

Application

TCP

IP

Server

transport

Application

AAL5

UDP/IP

AAL5

transporttransport

GTP-U

UDP/IP

RANA

P

GMM

SM

PDCP

MAC

RLC

IP

RNC

ATM

RLC

MAC

PDCP

RRC

GMM

SM

Iub

GTP-U

GMM

SM

MAC Relay

AAL

ATM

AAL

IP Relay IP RelayIP Relay

Node BUE RNC

SGSN

GGSNInternet

Servers


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What impacts QoE ?

The user(s)

Handset

Protocol settings

Device configs

Network dimensioning Application usage


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Appl ication d i f ferences

Request / response pattern

Protocol overhead

Chattiness

Message sizes

Inter request times

QoE depends on the application:Application type and usage must be taken into account


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Opt im izing QoE

Optimize what?

Optimum QoE means

Happier users? More revenue?

Better KPIs?

More customers? The big question is:

How to measure application level QoS


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A hol is t ic v iew on netwo rks

Be proactive!

Let QoS drive planning & optimization efforts

Drive tests Actual coverage

actual QoS - for specific users

Reactive

Simulation Detailed protocol insight

QoE fortypicalusers

Proactive

Customers Help desk overload

Positive / negative feedback

Reactive

Churn Unhappy customers

Bad reputation

Reactive

QoE ?


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Disc rete event s imu lat ion

Represents everything that happens to a

packet as one event skips periods where

nothing happens Simulation approach

Set goal must be specific

Set up scenario

Run simulation(s)

Analyze / interpret results

Reiterate if goal is not reached


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Case s tud ies

A QoE view on networks by using advanced

protocol simulation

What is the impact of adding streamingusers?

Specific goal: how many streaming users can

be added if the response time for 80% of a

group of web browsing business users may

not increase by more than 20%?


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Add ing a new serv ice

- impact on exist ing serv ices

0

0.1

0.2

0.3

0.4

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1

0 5 10 15 20 25

With existing services only

After deploying new service

CDF of service response times


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QoE dr iven plann ing

0

0,5

1

1,5

2

2,5

3

3,5

2 3 4 5 6Number of streaming users addded

Response time (seconds)

90 % of selected group

80 % of selected group

20 %


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UMTS

QoS enabled

Service classes

Prioritization Packet scheduling

RRM algorithms

Other

Soft handover

Radio planning

Need for isolation between cells

These handles must be setcorrectly in order for the services

to work as expected


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Analys ing QoS

Multi service networks

QoS goal: preferential treatment of some

services

Multiple service classes

with / without delay guarantees

Optimizing QoE Improvement of service

Deterioration of other services


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QoS d if feren t iat ion

00.1

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0 1 2 3 4 5 6

0

0.1

0.2

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0 1 2 3 4 5 6

Web service E-mail service

All services in same class

Web higher priority than e-mail

CDF of service response times CDF of service response times


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Impact o f t raf f ic grow th

0

0,1

0,2

0,3

0,4

0,5

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1

0 5 10 15 20 25

light load

medium load

heavy load

CDF of service response times

QoE target


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Use QoE as the op t im izat ion target

QoE is complex

Measurements and network counters

tell you about today and yesterday butwhat about tomorrow?

QoE can be easily predicted by usingsimulation

QoE impacts your usersand yourbusiness


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Thanks!

Visit our booth during the conference

Visit: www.commwyse.com anytime!
http://www.commwyse.com/http://www.commwyse.com/

Henrik Christiansen

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