Soldani Huawei Long

HUAWEI TECHNOLOGIES CO., LTD.

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www.huawei.com

Driving the Digital Future – What

Innovation in Services for

Telecom Operators

Dr. David Soldani

EU-NSD/European Research Centre

Trento Innovation Workshop, 24th June 2011

http://intranet.etno.be/mailroot/trento/default.html

http://intranet.etno.be/mailroot/trento/default.html


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Curriculum Vitae – Dr. David Soldani

• 15 years in ICT industry

• 2009 – present: Huawei Technology Düsseldorf

- VP European Research Centre

- Head of European Network Solutions R&D

• 2007 – 2009: Nokia Siemens Networks (NSN)

- Head of Solutions & Services Innovation

- Head of Customer Networks & Solutions (CTO office)

• 1997 – 2007: Nokia (Finland and Italy)

- Various technical & research management positions

• 1995 – 1997: Military Navy, Sirti SpA, Rohde & Schwarz

- Various technical positions

Areas of Expertise (not exhaustive)

• Lead R&D and Customer Services organizational units

• Unit/area strategy formulation and implementation

• Technology and Innovation Management for ICT industry

• Conduct lectures at Universities, Military Academy and ICT Companies

• Perform advanced research in the fields of own expertise

• Provide consulting functions to profit and nonprofit organizations

• Supervise any type of R&D deliverables

• Published/presented many international papers

• Editor in chief and one of the main contributors to several books

• Holder of several international patents

Relevant Experience (not exhaustive) Professional Background

• Solutions for Traffic Management in Mobile Broadband Networks

• Mobile Broadband Networks (TETRA, GSM, EDGE, WCDMA, HSPA,

LTE/SAE and WiMAX)

• E2E QoS, QoE and Policy Based Management Solutions

• E2E Service and Network Performance, Network Planning,

Optimization and Automation

• Transport Network Layer Technologies (IP/MPLS/Ethernet)

• Fixed Broadband Networks (xDSL, xPON)

Dr. David Soldani VP European Research Centre

HUAWEI TECHNOLOGIES CO., LTD. Huawei Technologies Duesseldorf GmbH

Riesstr. 25, C – 3., 80992 Munich, Germany

Tel: +49-89-1588344095

Fax: +49-89-1588344447

Mobile: +49-1622047695

E-mail: [email protected] www.huawei.com

mailto:[email protected]





http://www.huawei.com/

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Outline

• Definitions

• Industry trends

• Key technology issues

• User aware Customer Service Assurance

• Bridging QoE and QoS

• Case study


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Quality of Experience (QoE)

• Measurement of how well that

network is satisfying the end

user's requirements

• Includes the complete end-to-

end system effects (client,

terminal, network, services

infrastructure, etc.)

• QoE is also a consequence of

a user’s internal state (e.g.

expectations), the

characteristics of the

designed system (e.g.

functionality) and the context

(or the environment) within

which the interaction occurs 5. Excellent

4. Good

3. Fair

2. Poor

1. Bad

“The overall acceptability of an application or

service, as perceived subjectively by the end-user.” by ITU-T P.10/G.100


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Quality of Service (QoS)

“The ability of a network to provide such a service

application with an assured service level.” by 3GPP

• Functions (mechanisms)

and parameters in the

network and handset

that ensure the

provision of the

negotiated service

quality between peer

entities

• Provide packet transfer

in a better-than-best-

effort way (IETF)


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QoS and QoE parameters – Mapping Model

Subjective

Measurements

Objective

Measurements

QoS QoE

SQoS

(Network based) e.g. Packet Error Loss Ratio

ESQoS

(Service based) e.g. Web Page Loading Time

MOS (Mean Opinion Score)

Objective

evaluation

Subjective

evaluation

Viable solution SQoS = System QoS

ESQoS = E2E Service QoS


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Customer Experience Management

- The four pillars

Source TM Forum

Customer Service

Assurance

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Outline

• Definitions

• Industry trends




• Case study


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Managing customer experience becomes

operator core business

Source: TMF – Exploiting Analytics, 2010

Budget • Customer retention

• Word of mouth

• Occasional buys


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IEEE Special Issues

http://dl.comsoc.org/livepubs/ci1/info/call.html

http://dl.comsoc.org/livepubs/ni/public/2010/mar/index.html

http://dl.comsoc.org/livepubs/ci1/info/call.html

http://dl.comsoc.org/livepubs/ni/public/2010/mar/index.html

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Outline

• Definitions

• Industry trends




• Case study


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QoE challenges

3GPP QoS

(3GPP bearer)

IP QoS*

(Transport)

*) Includes data link layer (DLL)

Service KQI

QoE

3GPP UP KPI

3GPP CP KPI

IP/DLL KPI

QoE as a function of QoS

parameters (for Internet

Services) in near RT

Cross-layer, inter-domain

and intra-domain influence

(Problem localization)

NAS QoS

(Media component)

S1

S1,1

S1,1,1C1

C2

CN

5. Excellent

4. Good

3. Fair

2. Poor

1. Bad

5. Excellent

4. Good

3. Fair

2. Poor

1. Bad

S = Symptom

C = Cause

Identify causes from observed

symptoms (Alarms/KPIs)

(Cause identification)

MOS


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Solution segmentation

• Filtering and enforcement based on all possible combinations

Services

• Web surfing

• Streaming

• File DL/UL

• E-mail

• …

Network Scope

• Whole Network

• Per region

• Per NE/Cell

• Per RAN Vendor

•…

Device

• All devices

• Device class

• Device type

• Device group

• …

Technology

• All technologies

• 2G

• 3G

• …

Customer

• All customers

• Segment

• Tariff

• …


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Intelligent Traffic Management

Backhaul

MS BTS

NodeB RNC SGSN

Internet/

Intranet

HLR

Iu

b Iu-PS

Gn Gi

Gr Gb

Datacard

eNB

eNB X2

S1-MME

S1-U

S4

S5 S6a

S7

S11

S3

SGi

LTE UE

Uu

Backbone

GGSN

MME

Serving GW PDNGW HSS

PCU

PCRF

Abi

s

Main Server

Site Servers

Client (MKT) Client (NPO)

Client (CFO)

Client (CTO)

Terminal

Agents

Embedded

Probes

Interface

Probes

QoE as a

function of QoS

parameters (for

Internet

Services) in

near RT

Adaptive

policy control

in near RT

Root causes

and drill down

into lower level

indicators in

near RT

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Outline

• Definitions

• Industry trends



• Case study



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What are the main issues in the

current approaches?

• Open questions:

How does accessibility, retainability and integrity relate to the user experience?

What is the interdependency of the three KQIs on user impact?

Which KQI should be improved if the user is not satisfied? Why the user is not satisfied if all the three KQIs are OK?

How to evaluate the QoE(t) within a session

How to evaluate the QoE from session to session

How to evaluate the QoE from sessions of different services

Service

Acceptability: satisfied?

Service Provider User

KPI_1

KPI_2

KPI_3

KPI_n

KQI_accessibility

KQI_retainability

KQI_integrity

Service Model


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RTT

(empty

NW)

Bearer

setup delay

(empty

NW)

PDP context

setup delay DNS setup

delay

Application

setup delay

Radio

load

Packet

core

load

App.

Server

load

End user

device

load

Nw

element/

int. failure

QoS profile

(PDP

context)

Device

screen

resolution

Content

encoding

rate

TCP

parameters

(device

and server)

Transport

load

Application

throughput

1st packet

delay App.

packet

jitter

Application

cutoff ratio

HTTP Video

Streaming Quality

PDP context

setup

success rate

DNS

success

rate

Application setup

success rate

App.

packet

loss rate

Origin variable (within a data service session)

Variable dependent on other variable(s)

PDP context

cuttoff ratio

Load

next

packet

delay

App.

device

buffer

size

Rebuffering

(number and

duration)


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What do we propose to close this

gap?

Service

Acceptability: satisfied?

Service Provider User

KPI_1

KPI_2

KPI_3

KPI_n

KQI_accessibility

KQI_retainability

KQI_integrity

Service Model

User-

Centric

Service

Modeling

Value Added KQI QoE

Value Added

Usage

Analysis &

Forecasting

QoE

Assessment

QoE

Monitoring &

Assurance

Business

Intelligence

Intelligent

Trouble-

shooting

Intelligent

Traffic

Management


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Proposed solution User centric Service Model (USM)

User-Centric

Service

Model

KQI_availability

KQI_retainability

KQI_accessibility

Web Download

Session =KPI1…..KPIz

One user

Over many

sessions

YouTube

• 1 session

• context known

• 1 session

• context known

• 1 session

• context known

Session =KPI1…..KPIy Session =KPI1…..KPIx

• idle period

• user active

KQI_availability

KQI_retainability

KQI_accessibility

KQI_availability

KQI_retainability

KQI_accessibility

Legacy

quality

assessment

On target troubleshooting

QoE(t)=f(KPI1,.....,KPIz) QoE(t)=f(KPI1,.....,KPIy) QoE(t)=f(KPI1,.....,KPIx)

Anomaly

Detection Trouble-

shooting


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User-aware Customer Service Assurance (uCSA)

Probes Network

Elements

Data

Collection

Mediation

Probes

Data

Collection

Network

Elements

USM

Mapping to R-

KPIs

Data Consolidation & Storage Layer

User-centric

Service

Modelling

(USM)

Correlation Correlation

Correlation

Aggregation Aggregation

Aggregation Storage

Business

Intelligence

QoS/QoE

Level

Management

Trouble

Shooting

& user tracing

Network

Planning,

Design &

Configuration

QoS/QoE

Assessment

Network

Optimization

Intelligent

Traffic

Management

Infrastructure Layer: To Enable Network Visualization

Functional Objectives: Enable Customer Business

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Outline

• Definitions

• Industry trends




• Case study


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Bridging QoE and QoS: possible approaches

uCSA

TB NB

TA

P P P

P

1

SON

2

4

3

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Outline

• Definitions

• Industry trends




• Case study


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Service quality differentiated G/S/B portfolio

24

Service Quality Differentiation in Mobile Broadband portfolio

Bronze – Tariff A

Silver – Tariff B

Gold – Tariff C

„Ultimate“(e.g. HD Video)

„Best for Social Media“(e.g. facebook, youtube etc.)

„Best for Surf & Chat“

Service Quality Differentiation

Max Mbps DL/Mbps UL

Avg. Mbps DL/ Mbps UL

FUP / SSD

Montly fee

See:

D. Soldani, Hou Xiao Jun, B. Lück, “Strategies for mobile broadband growth: traffic segmentation for better

customer experience,” IEEE VTC Spring 2011


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Bandwidth levels

(In loaded networks, e.g., throttling of Streaming and/or HD Video services for Bronze will make it possible to allocate the freed

capacity to Gold, or Silver, so that a higher priority will enable a better user experience.)

Empty network

Bronze Silver GoldBronze Silver Gold

Streaming SurfingHD videoAllocated capacity:

Tariff

Speed

Tariff

Speed

Loaded networkEmpty network

Bronze Silver GoldBronze Silver Gold

Streaming SurfingHD videoAllocated capacity:

Tariff

Speed

Tariff

Speed

Loaded network

(1) Surfing

(2) http Streaming

(3) RTP Streaming

(4) E-Mail

(5) File DL

(6) Other

Example of

Mapping for Gold:


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User satisfaction criteria for HSPA

User

Type

Av.

Speed

(GBR*)

Web

Surfing

http

streaming

RTP

streaming

File

downloads

Gold 512

kb/s

Web page

delay <

4s

Throughput

384 kb/s

Throughput

90 kb/s

PDL < 300 ms

PERL < 10-6

Throughput

GBR

Silver 256

kb/s

Web page

delay <

8s

Throughput

192 kb/s

Throughput

90 kb/s

PDL < 300 ms

PERL < 10-3

Throughput

GBR

Bronze 128

kb/s

Web page

delay <

10s

NA NA NA

*) Minimum target rate


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Without QoS - RTP Streaming

RTP streaming: % of

Satisfied users

Number

of users

Threshold = 90%

A = 3300

0

20

40

60

80

100

1000 1500 2000 2500 3000 3500 4000 4500 5000 5500 6000 6500

G

S


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With QoS - RTP Streaming

G = (B-A)/A = 30% or equivalently 22% of site savings!

0

1000 2000 3000 4000 5000 6000 7000

RTP streaming: % of

Satisfied users

Number

of users

Threshold = 90%

20

40

60

80

100

G

S

B = 4300

Thank you www.huawei.com

Soldani Huawei Long

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