INFOWARE-2011-MObile computation- panel- Intro-EB-v1.0€¦ · Challenges in Signal Processing,...

INFOWARE 2011 Luxembourg, June 2011

INFOWARE 2011PANEL 1: Mobile Computation

Challenges in Signal Processing, Global Informationand Mobile Communications

INTRODUCTION

Eugen Borcoci, University Politehnica Bucharest


PANEL

Mobile ComputationChallenges in Signal Processing, Global Informationand Mobile Communications

Moderator:Eugen Borcoci, University Politehnica of Bucarest, Romania

Guest Panelists:Dragana Krstic, University of Nis, SerbiaGyörgy Kálmán, ABB AS - Akershus, NorwayYasunori Iwanami, Nagoya Institute of Technology, JapanEugen Borcoci, University Politehnica Bucuresti, Romania


Panel topics

� Short presentations:

� Dragana Krstic: Methods for reducing the impact of fading in mobile telecommunications

� György Kálmán: Bearer or Service Provider: Future role of the Mobile Operator

� Yasunori Iwanami: Coded MIMO OFDM

� Eugen Borcoci: Service mobility- case study example

� Q/As

Methods for reducing theimpact of fading in mobiletelecommunications

Dragana KrstićFaculty of Electronic Engineering,

University of NišAleksandra Medvedeva 14, 18000 Niš, Serbia

[email protected]

ICWMC 2011

Wireless channels are simultaneouslyaffected by short-term fading and long-term fading (shadowing).

In wireless communication systems,various techniques for reducing fadingeffect and influence of shadow effect areused:

ICWMC 2011

They are:

- diversity reception,

- dynamic channel allocation and

- power control.

Upgrading transmission reliability andincreasing channel capacity withoutincreasing transmission power and bandwidthis the main goal of diversity techniques

ICWMC 2011

We are studing wireless communicationsystem following microdiversity to mitigate theeffects of fast fading and macrodiversityprocessing to reduce shadowing effects.

Fast signal variations are described byseveral distributions such as Rayleigh, Rice,Nakagami-m, α-μ, Weibull and Hoyt.

ICWMC 2011

Considering Nakagami-m and Hoytdistribution multipath scattering with relativelylarge delay-time spreads, with differentclusters of reflected waves are described.

Also the consideration of propagation paths,consisting of one strong direct line-of sight(LoS) signal, and many randomly reflected,usually weaker signals is included trought theRicean distribution.

ICWMC 2011

The non-linearity fading effects are includedtrought consideration of Weibull and α-μfading distributions.

If base stations at the macrodiversity level arewidely located, due to sufficient spacingbetween antennas, long-term fading can bemoddeled with joint distribution of twostatistically independent Gammadistributions.

ICWMC 2011

The contribution of this analysis fordualbranch macrocombiner, is that it hasbeen done for general case of α-μ(Generalized Gamma) distribution, whichincludes as special cases important otherdistributions such as Weibull and Nakagami-m (therefore, the One-Sided Gaussian andRayleigh are also special cases of it).

ICWMC 2011

Diversity reception, based on using multipleantennas at the receiver (space diversity, withtwo or more branches) is a very efficientmethod used for improving system’s quality ofservice

Multiple received copies of signal could becombined on various ways.

ICWMC 2011

System model 1

ICWMC 2011

System model 2

r,rp r,r

SCmicrodive

rsitySC

macro

diversity

SCmicrodiv

ersity

© ABB GroupJuly 14, 2011 | Slide 1

Bearer or Service ProviderFuture role of the Mobile Operator

György Kálmán, ABB Corporate Research Norway

Status

Market trends:

Smartphones in all segments

Content consumption and creation is increasing

Lower data traffic charges allow continous onlineservice access

Online payments are usual for consumers

Two IT companies have taken over the completecontrol of the phone market


Role of the Provider

Past: the degradation of the fixed telephony network to abearer service, mobile provider sells VoIP for circuitswitched price

Present: VoIP over 3G data is available

Regulatory and provider-initiated restrictions may bepresent

Continous internet access common

Future?

Bearer (e.g. iTunes) or content provider (e.g. TelenorMobileTV) or trusted party (e.g. BankID)


Trust, payments and user experience

Key features!

The trust relationship already exists between the providerand the subscriber

Payments: telecom standardization is slow, missing theopportunity window.

Smartphones can access ”desktop” services with gooduser experience

Do we need more complex hardware? – Paypal,webbank


Questions

Where is the place of the mobile provider?

In the payment area, is it worth to use trusted hardware?

Is NFC the future for payments or missed the window?

What can the telco industry learn from IT?

Future of standardization?


INFOWARE 2011Conference, June 19-24, 2011, Luxembourg

INFOWARE 2011

Panel: Mobile Computation

Challenges in Signal Processing, Global Informationand Mobile Communications

Mobility issuesService Mobility- case study

Eugen Borcoci, University Politehnica Bucharest

INFOWARE 2011Conference, June 19-24 Luxembourg

Challenges in Signal Processing, Global Informationand Mobile Communications: Mobility

� Mobility� Terminal mobility (IP based solutions)

� Technologies: IEEE 802.11x, 15x, 16x, LTE, 3G, …� Solutions

• Mobility solved at L2/L3 layer

• solved at higher layer ( e.g SIP supported mobility)

� Within the same L1-L2 technology• Horizontal mobility

Micro-mobility (L2)Macro-mobility (L2+L3)Handover styles :

Hard HO (Break before make)Soft/seamless HO (session preservation)

� Q: what are the major unsolved problems related to terminal

mobility in horizontal HO?� Between different L1-L2 technologies

• Vertical mobility- more challenging

• New solution (MIH) Media Independent HOQ: How much is currently deployed ?



� Mobility

� Service/personal mobility� End user (EU) has registered for some services to an SP� EU can get registered services

• conforming his/her user profile and SLA concluded with SP• through a residential gateway

� EU is visiting another (IP) network� Service mobility:

• EU can get the same services with the same user profile• Using its portable terminal or a fixed terminal in the visited network

• Through the visited gateway

� Q: Can be the service mobility better served by integrated mobility solutions?

� New issue (also in FI-oriented studies) : � Identity/location decoupling attempts/solutions� What is the impact of this approach on mobility ?



� Case study example: Service Mobility

� The system: MediA Ecosystem Deployment Through Ubiquitous Content-Aware Network Environments ALICANTE, 2010-2013, Integrated Project (IP)

� Complete system ( network + services) - media oriented, multiple domain, …� Virtual networking: parallel virtual planes customised for different

type of media content ( based on CA properties)

� Business Entities:� End Users (EU)� Service/Content Providers� Virtual network Providers� Infrastructure Network providers

� EU connection – to the core network� via Home Boxes ( enhanced Residential GWs)



� Case study example: Service Mobility

� The system: MediA Ecosystem Deployment Through Ubiquitous Content-Aware Network Environments ALICANTE, 2010-2013, Integrated Project (IP)



� Case study example:

� Service Mobility

1. Initial SLA EU1-SP

2. EU1 move to HB23. 3-..8 : service

handover

9. Media consumption

in the same way as at home

AccessNetwork 1

AS1

HB (home

AS2

CANP NP

CANP NP

CAN layer

move

Multi-domain VCAN

HB Mgmt

1

HB + SP Environment

EU1 host

PHY connection

Contract (SLA/SLS)

or interaction

MANE MANE

AR

SP/CP

9. Media flow consumption

MANE MANE

ANP

Service/Users Management

2

HB2

(visited)

EU1’ host

AN2

Content Server

3

4

5

6

7

8


Thank you

On coded MIMO OFDM

- How to obtain spatial and frequency diversity effects -

Yasunori Iwanami

Nagoya Institute of Technology

Nagoya, Japan

IFF

TIF

FT

IFF

TIF

FT +CP

Transmitter

P/S

FF

TF

FT

FF

TF

FT

ZF

Nu

lling

, MM

SE

Nu

lling

or M

LD

Receiver

+CP

+CP

+CP

- CP

- CP

- CP

- CP

S/P

OFDM demodulation for each Rx antenna

OFDM modulation for each Tx antenna

Transmitter and Receiver configuration of MIMO OFDM

Av

era

ge

po

wer

t

Quasi-static Rayleigh

fading with equal

power L delay paths GI

0

(0)ijh

/4T

(1)ijh (2)ijh ( 1)ijh L

Delay profile between each Tx and Rx antenna

Input data bits

QA

M M

od

.LD

PC

e

nco

din

g

Input data bits

Uncodedcase

LDPCcoded case

LD

PC

d

eco

din

g

QA

M D

em

od

.

Output data bits

Output data bits

Uncodedcase

LDPCcoded case

Soft value

1.0E-05

1.0E-04

1.0E-03

1.0E-02

1.0E-01

1.0E+00

0 5 10 15 20 25 30

Bit

Err

or

Rat

e

Average Eb/N0 per receive antenna [dB]

4×4-OFDM ZF Nulling


4×4-OFDM MMSE Nulling




1×1-OFDM MLD

Flat Rayleigh Theory

2×2-OFDM MLD

4×4-OFDM MLD

BER characteristics for uncoded MIMO OFDM

BPSK modulation

1

0 0 0

1 111 1/ 1 , 1( / )2 4

b bb

b

E EP

E N N N

210 / 5 (dB)

Diversity order=4

110 /10 (dB)

Diversity order=1

110 / 5 (dB)

Diversity order=2

1E-05

0.0001

0.001

0.01

0.1

1

0 5 10 15 20 25 30 35 40

BE

R

Average Eb/N0[dB] / receive antenna

1×1 OFDM

2×2 OFDM

4×4 OFDM

4×4 MC-CDM

2×2 MC-CDM

1×1 MC-CDM

MIMOMC-CDMA

MMSE Nulling

MIMOOFDMMMSENulling

BER characteristics for uncoded MIMO MC-CDMA

BPSK modulation

A

A

A

Uncoded：BPSKLDPC coded：QPSKL=16 equal power delay pathsNumber of subcarriers =64CP length=T/4

(n, k)=(1024,512) Regular LDPC code(j, k)=(4,8)Loop 4,6 excluded

Theory

About 7.5dB improvement

BER characteristics for LDPC coded MIMO OFDM with MLD

Flat Rayleigh

ZF, MMSE or MLD uncoded

• By using MLD, spatial diversity effect is obtained.

• By using MC-CDMA, frequency diversity effect is

obtained.

• By using LDPC code with MLD, spatial and frequency

diversity effects with coding gain is obtained.

Obtained results

INFOWARE-2011-MObile computation- panel- Intro-EB-v1.0€¦ · Challenges in Signal Processing,...

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