11

CROSSNET

Técnicas de Cross-layer e Planeamento de Redes em Sistemas B3G

(Cross-layer and Network Planning for B3G Systems)

Fernando J. VelezIT / DEM, University of Beira Interior

Covilhã, Portugalhttp://www.demnet.ubi.pt/~velez

http://www.e-projects.ubi.ptfjv@ubi.pt

Kick-off meeting, IT/DEM-UBI, 30th June 2005.

22

AgendaAgenda

11.00 Recep11.00 Recepçção e boas vindas.ão e boas vindas.11.10 In11.10 Iníício dos trabalhos:cio dos trabalhos:

_ Apresenta_ Apresentaçção das equipasão das equipas_ Motiva_ Motivaçção e razão de ser do CROSSNET.ão e razão de ser do CROSSNET._ Objectivos e _ Objectivos e ááreas chave; estrutura e gestão reas chave; estrutura e gestão

do projecto (3 do projecto (3 ááreas chave de I&D mais a reas chave de I&D mais a áárea rea chave de gestão).chave de gestão).

_ Prazos para a conclusão das v_ Prazos para a conclusão das váárias rias subsub--tarefastarefas; ; deliverablesdeliverables e relate relatóórios rios anuais.anuais.

12.3012.30 A L M O A L M O ÇÇ OO

33

Agenda (tarde)

14.15 Apresenta14.15 Apresentaçção detalhada de cada tarefa, ão detalhada de cada tarefa, prazos,prazos, relatrelatóóriosrios, , etcetc::

0 0 -- GestãoGestão1 1 -- ModelaModelaçção de trão de trááfego e fego e QoSQoS,,2 2 -- DefiniDefiniçção do MAC e tão do MAC e téécnicas de cnicas de ““crosscross--layerlayer””3 3 -- PlaneamentoPlaneamento celularcelular e e optimizaoptimizaççãoão15.50 Dissemina15.50 Disseminaçção dos resultados: ão dos resultados: _ conferências, revistas e possibilidades para a realiza_ conferências, revistas e possibilidades para a realizaçção ão dum dum WorkshopWorkshop do projectodo projecto_ p_ páágina gina WebWeb

16.00 Reunião de Gestão (recursos humanos, equipamento, 16.00 Reunião de Gestão (recursos humanos, equipamento, bolsas e estbolsas e estáágios, reuniões e outras missões, outros gios, reuniões e outras missões, outros gastos; projectos final de curso e teses)gastos; projectos final de curso e teses)

16.40 Conclusão da reunião16.40 Conclusão da reunião

44

http://www.ubi.pt

55

WeWe--Move@CovilhãMove@Covilhã -- MotivationMotivation

Nowadays, research on mobile and wireleesscommunications has a large margin for expansionInstitute for Telecommunication (IT) – Covilhã Laboratory follows this evolution with theparticipation of their members in Europeanprojects since 1992/93:• RACE-MBS, Mobile Broadband System• ACTS-SAMBA, System for Advanced Mobile

Applications• IST-SEACORN, Simulation of Enhanced

UMTS Access and Core Networks• SAMURAI, MULTIPLAN, CROSSNET, MobileMAN• Several COST (259, 273 e 290) EXPO’ 98

66

Our First projects ...

77

RACE-MBS (Mobile BroadbandSystem): Demonstrator at 60 GHz andcellular planning tool

88

ACTS-SAMBA (System for AdvancedMobile Applications)Services and applications

OutsideBroadcast

City Guidance

MobileOffice

ElectronicNewspaper

MobileOffice

EmergencyService

TouristInformation

MBSBase Station

Video Telephone

99

MBS Concept

Data Rate

Mobility

High

Low

HighLow0

3G

WiFi

WiMAX

xDSL, Cable

and Fiber

4G

VeryHigh

MBS

1010

EXPO’ 98

1111

Sorrento, Italy

1212

Filed Trials in Aveiro

BST1

BST2

BSC Core

Network

MT2

MT1

1313

The cellular planning process for MBS

MSBS

MSBS

MSBS

MSBS

MSBSf1 f1

f1f1

f1

-2D -(2D-R) -D -(D-R) -R 0 R D-R D 2D-R 2D

Reuse Pattern,Coverage Distance

MAC Protocol

Channel StructureServices Characterisation

Deployment ScenariosTraffic from Mobility

Cell Coverage andFrequency Reuse Multi-service

Traffic Engineering

Cost / Revenues

Frequency Bands

Propagation Model

Technological Constraints

SpectralEfficiency

MBS Optimisation

Cost Parameters

1414

WE-MOVE@Covilhã.it.pt.europe

1515

WE-MOVE@Covilhã.it.pt.europe

A Team for Wireless Planning for Mobile and Vehicular Technologies

MissionHelp people on better communicationsContribute for the development of science andteaching through mobile telecommunicatioons

1616

IST-SEACORN

1717

ISTIST--SEACORN (Simulation of Enhanced SEACORN (Simulation of Enhanced UMTS Access and Core Networks)UMTS Access and Core Networks)

Usermobility

Service data rate[bit/s]

9.6

k

144

k

384

k

2 M

155

M

ISDN xDSL

fast mobile

slow mobile

movable

fixed

20 M

64 k

GSM GSM/HSCSD G

SM /

GPR

S

GSM/EDGE

UMTS

MBS

10 M

E-UMTS

HIPERLAN,802. 11a/b/g

1818

Deployment ScenariosApplications Usage [%] Abbre-

viationMax Data Rate [kb/s] BCC URB ROA

Sound Voice VOI 12 19.9 40.2 29.0 Voice over IP VIP 12 14.3 29.1 20.9 Audio Streaming AUD 64 9.7 6.6 Total 34.2 79.0 56.5 Narrowband Videoconference, Tele-advertising

VCO 384 4.6

Data File Transfer, FTP FTP 384 7.8 5.3 Desktop MM, Web browsing DMM 384 16.8 6.8 11.3 Broadband Videotex, E-commerce

ECO 384 7.8 5.3

Total 37.0 6.8 21.9 Wideband Mobile Tele-working MTW 1536 7.7 Assistance in Travel ATR 1536 4.9 13.5 E-newspaper ENP 1536 5.3 4.4 HD Videotelephony HVT 1920 15.8 4.9 8.1 Total 28.8 14.1 21.6

1919

Services Classification (new simuationscenarios)

Conversational• Voice• Video-telephony• HD Video-telephony

Interactive / Streaming• Multimedia Web browsing• Assistance in Travel

Interactive / Background• Instant Messaging Multimedia

Multi-class• Wireless LAN-Interconnection

Service datarate classes Voice 12.2 kb/s High Interactive MM < 144 kb/s Narrowband [144,384] kb/s Wideband ]384, 2 048] kb/s Broadband > 2 Mb/s

2020

Environments and mobility

S

D

S

DS

D1 2 3

y

x

Office BusinessCity Centre BusinessCity Centre

Vehicular

2121

SEACORN Simulation Scenarios

Applications Usage [%] Data Rate [kb/s]

OFF BCC VEH

Sound Voice (VOI) 12.2 25.0 27.0 42.0

High Interactive Multimedia Video-telephony (VTE) 128 15.0 16.0 16.0

Narrowband Multimedia Web Browsing (MWB) 384 20.0 26.0 18.5

Wideband Instant Messaging for Multimedia (IMM)

1024 25.0

Assistance in Travel (ATR) 1660 23.5HD Video telephony (HDT) 2048 31.0

Broadband Wireless LAN Interconnection (WLI) 12780 15.0 - -

Density Factor (users / m2) 0.150 0.031 0.012

2222

BHCA for Office environment

VOI VoiceVTE Video-telephonyMWB Multimedia web browsingIMM Instant Messaging for MultimediaWLI Wireless LAN Interconnection

average traffic per user 0< f <1

[ ][ ]min

min 1001

τfMUsageBHCA ⋅

⋅=−

Office

0

0.1

0.2

0.3

0.4

0.5

0 0.01 0.02 0.03 0.04 0.05f

BH

CA

[min

-1]

VOIVTEMWBIMMWLI

2323

System Level Simulations hipothesis

Fraction of active users, f = 3 %BCC Manhattan geometry with Node Bs, placedon crosses, spaced 230 m between eachother25 micro cells with sectorisaton

Gos thresholds:• (Pb)max = 2-3 % - blocking• (Pd)max = 1 % - call-dropping (Phf)max = 0.15 % (BCC)• Max. end-to-end delay = 150 ms.

2424

System Level Simulations InitialResults: Blocking and SHO FailureProbability Blocks and SHO failures

BCC Environment

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

1.1

1.2

1.3

1500

users

2000

users

2500

users

3000

users

3500

users

4000

users

4500

users

5000

users

Capacity

Blo

cks

- SH

O fa

ilure

%

Blocks % SHO failures %

2525

System Level Simulations InitialResults: Throughput and delay (BCC)

Throughput and DelayBCC Environment

0

5

10

15

20

25

30

1500

users

2000

users

2500

users

3000

users

3500

users

4000

users

4500

users

5000

users

Capacity

Thro

ughp

ut (M

bps)

0

0.03

0.06

0.09

0.12

0.15

Mea

n D

elay

(sec

onds

)

Throughput Mean Delay

2626

Conclusions on IST-SEACORN (WP1)Future 3.5 G systems have to be able to supportnowadays applications and new ones, with differentcapacity and requirementsA set of scenarios was drawn by associating valuesof service usage with each of the eight deploymentscenariosResponding to the necessity of diminishing theburden on simulation work, a set of three simplerscenarios was producedA traffic generation model was described in order to allow quantification and description of traffic offeredto the E-UMTS networkThis model is based on population and servicepenetration values in order to determine callgeneration rates for the constituent services withineach of the selected scenarios

2727

Conclusions (cont.)

For each service an activity model was presented, and the ON and OFF states were characterised byappropriate statistical distributions for source trafficApplication QoS and GoS requirements wereaddressed, including the impact of mobilityThis completed the basic output to the SEACORN simulation work, whose objective was to determine the E-UMTS network behaviour and QoS response under these service assumptionsA glimpse on simulation results was presented

2828

SAMURAI

2929

http://www.ubi.ptsamurai@demnet.ubi.pt

http://www.demnet.ubi.pt/~velez/Samurai.htm

http://www.e-projects.ubi.pt/samuraihttp://www.formare.pt/samurai

3030

Main Objectives

3131

Wireless Networks IEEE 802.11 (Wifi)

3232

Orinoco Client Manager

3333

Power [dBm]

0 3 6 9 12 15 18 21 24 27 30 33 36 39 42 45 48 51

-4-2-0.50.524

-20-0-40--20-60--40-80--60-100--80

0 6

12 18 24 30 36 42 48

-4

-100

-80

-60

-40

-20

0 -4-3-2-1-0.500.51234

3434

Access Points (APs) Wifi and Antennas

3535

New antenna, extra gain (G~12 dBi)

0 6

12 18 24 30 36 42 48

-4

-100

-80

-60

-40

-20

0 -4-3-2-1-0.500.51234

3636

Ergonomy -> VABAMPAC

VABAMPAC - Validation using bar code of the Administration of Medication to Patients

3737

E-health (Medigraph, PT Inovação)

3838

E-health, CHCB

3939

MULTIPLAN

4040

MULTiPLAN (Multi-service CellularPlannning for Mobile CommunicationSystems Beyond 3G)

Laboratório da Covilhã

Planeamento Celular Multi-serviço para Sistemas de Comunicações Móveis após a 3G

Multi-service Cellular Planning for Mobile Communication Systems Beyond 3G

Projecto aprovado pela FCT e pelo POSI, comparticipado pelo fundo comunitário europeu FEDER

4141

MULTIPLAN (http://www.e-projects.ubi.pt)

The project focus is multi-service cellular planning for mobile communication systems beyond 3GIt covers • Classification and characterisation of services and

applications• Resource re-use, interference, and tele-traffic• System capacity and optimisation (system level simulation)• Costs and revenues

4242

Outline

MotivationOffice scenario• Topology• Cell structure• Mobility model• Radio propagation model

The simulatorQoS measuresCapacity estimationCost/Revenue ModelEconomic impact• Assumptions • Optimisation and profit

Conclusions

4343

Motivation

WCDMA systems are interference limited, and there is an inter-dependence between capacity and coverage which causes the cell size to decrease when the traffic load carried by the cell increasesTraffic peaks generated by hot spots, such as highly crowded offices with high data rate services can run into coverage problems for macro and micro outdoor coverage, and they can jeopardise the entire network quality

4444

The need for cost/revenue functions

In order to optimise E-UMTS networks and make simulation-based cellular planning tools available for network design, economic aspects, in the form of cost/revenue functions, are an essential issueQoS and the expected net revenue are dependentTherefore results for system capacity are importantAcceptable values are obtained in order to have an acceptable GoS (Grade of Service)

4545

Impact of the throughput in revenues

A function for the throughput, having in consideration the QoS, as function of the radius of each cell is obtained Using this function and the costs, a cost/revenue model is formulated The main measures of the QoS considered are the call blocking probability, handover failure probability and delay.

4646

Scenario

From the IST-SEACORN scenarios, only the office scenario and classes of service up to wideband are taken into consideration in this study.

Applications Rb [kb/s] Usage τ [min]

Sound 12.2 29.0 3High Interactive Multimedia,HIMM 144 18.0 3Narrowband 384 24.0 15Wideband 768 29.0 15Density Factor (users / m2) 0.150

4747

Office scenario

Topology• Floor with 140 m x 60 m, and 1260 users (corresponding

to a density factor of 0.15 user/m2).

S

D

S

D S

D 1 2 3

y

x

60

140

4848

Office scenario (cont.)

Pico-Cellular structure• Small cells, low transmition powers (3dBW), indoor• E.g., users at home, office, commercial centres,

theatres, airports.Mobility model• Reference Point Group Mobility

y

x

60

140

4949

Radio Propagation Model

Radio Propagation Model (COST 231)• Office Environment

Indoor OfficeL = 37 + 30log10(R) + 18.3n((n+2)(n+1)-0.46)

L is path loss, R is the transmitter – receiver separation [m], and n is the number of floors in the path.

5050

The simulator

The SEACORN simulator is a System Level Simulator (SLS) that captures the dynamic end-to-end behaviour of the all network, including • the dynamic user behaviour (e.g., mobility and variable

traffic demands), • radio interface, • radio access network, • and core network

The SLS is separated into three parts• mobile environment, • control mechanisms, • performance evaluation.

5151

The simulator (cont.)

5252

The simulator (cont.)

The control mechanisms includes most of those of UMTS system such as • power control mechanisms, • admission control, • packet scheduling.

Enhancements include • Multi-path Interference Canceller, MPIC, which is an

iterative process to provide a signal without multi-path interference to each finger and in the RAKE,

• Space Time Transmit Diversity, STTD.

5353

QoS measure - blocking probability

0

5

10

15

20

25

30

35

40

5.6 6.1 6.7 7.4 8.3 9.3 10.8 12.7 15.6 20 25 30 35 40

R[m]

Pb[

%]

3%2%1%4%

2%

5454

Delay for for a fraction of active users f = 4%

0

0.03

0.06

0.09

0.12

0.15

0 50 100 150 200t [s]

dela

y [s

]

12.7m 9.3m8.3m 6.76.1m 5.6m7.4m

5555

QoS measure – handover failure probability

0.0%

0.5%

1.0%

1.5%

2.0%

2.5%

5.0 10.0 15.0 20.0 25.0 30.0 35.0

R[m]

Phf [

%]

f=1%f=2%f=3%

f=4%phf_max

5656

Capacity Estimation – active users as function of radius

f = 0.1207R-0.6451

0%

1%

2%

3%

4%

5%

0 5 10 15 20 25 30 35 40 45

R [m]

f [%

]

Pb=2%

0

5

10

15

20

25

30

35

40

5.6 6.1 6.7 7.4 8.3 9.3 10.8 12.7 15.6 20 25 30 35 40R[m]

Pb[%

]

3%2%

1%4%

5757

Capacity estimation – throughput (f = 4%)

0123456789

1011

0 20 40 60 80 100 120 140 160 180

t [s]

Thro

ughp

ut [M

bit/s

5.6m6.1m

5858

Capacity Estimation – throughput as function of radius

thr = 37.145R-0.7225

0

2

4

6

8

10

12

14

0 5 10 15 20 25 30 35 40R[m]

Thro

ughp

ut [M

bit/s

]

Pb=2%

0

5

10

15

20

25

30

35

40

5.6 6.1 6.7 7.4 8.3 9.3 10.8 12.7 15.6 20 25 30 35 40R[m]

Pb[%

]

3%2%

1%4%

5959

Cost/Revenue Model A cellular system can be analysed from different perspectives: the subscribers, the network operators, the service providers, the regulator, and the equipment vendors. In this work one considers the perspective of the network operator, whose primary interest is to increase profit. The costs and revenues will be taken in annual basis. For the office topology the maximum cell coverage distance is R, and the number of BSsper hectometre is given by 1/(2R[hm]).

Therefore, the system cost will contain a fixed term Cfi and a term proportional to the number of BSs, Cfb.

6060

Cost/Revenue Model (cont.)

The cost of the network per unit length per year is

C0 [€/hm]= Cfi[€/hm] + Cfb [€] /(2R[hm]).

The revenue per cell per year, (Rv)cell can be obtained as a function of the throughput per BS per year, thrBS [kb/s/year], and the revenue per kb/s, Rkb/s [ €/kb].

(Rv)cell [€]= thrBS [kb/s/year].Rkb/s[ €].

6161

Cost/Revenue Model (cont.)

The revenue per hectometre (a typical maximum length for an office topology), Rv [€/hm], is then

Rv [€/hm] = (Rv)cell [€]/(2R[hm]).

6262

Economic Impact - assumptionsTaking costs and revenues on an annual basis, and considering six busy hours per day, 240 busy days per year, and the revenue of a 144 kb/s “channel”, R144[€/min], the revenue per cell can be obtained as

(Rv)cell [€] = thrBS [kb/s].240.6.60. R144[€/min]/144.

(Rv)cell [€]= thrBS [kb/s/year].Rkb/s[ €].

Rv [€/hm] = (Rv)cell [€]/(2R[hm]).

6363

Assumptions

Two hypothesis for R144[€/min]• R144[€/min]=0.02 • R144[€/min]=0.005.

Two different assumptions for the costs (hypothesis A [7], and B) were also considered for the cost of pico-cell BSs.

Values [€]Parameters

A BInitial Costs:

BS priceInstallationLicense fees

Annual Cost:Operation and maintenance

500030001000

1000

2500250

1000

250

6464

Assumptions (cont.)

Maximum life-time of BS is 5 years Hence, for case A,

Cfi[€/hm] =1000Cfb[€/hm] =(5000+3000)/5+1000

The analysis is made under null discount rate

Values [€]Parameters

A BInitial Costs:

BS priceInstallationLicense fees

Annual Cost:Operation and

maintenance

500030001000

1000

2500250

1000

250

6565

Economic impact – Optimisation and profit

0

20000

40000

60000

80000

100000

120000

0 5 10 15 20 25 30 35 40

R[m]

C0,

Rv

[€/h

m]

Rv[€/hm], R144=0.005Rv[€/hm], R144=0.02C0[€/hm]

Network revenue and cost per unit length per year as a function of R

C0 [€/hm]=1000[€/hm] +[(5000[€]+3000[€])/5+1000 [€]]/(2R[hm]) Rv[€/hm]=thrtotal[kb/s]•R144[€/min]•6•60•240•

•(100-R) / [(Lsimul-R)•144[kb/s]]

6666

Economic impact – Optimisation and profit (cont.)

0

200

400

600

800

1000

1200

1400

0 5 10 15 20 25 30 35 40R [m]

Prof

it [%

]B- R144=0.005B- R144=0.02A- R144=0.02A- R144=0.005

Profit per unit length per year, in percentage, for different R144[€/min]. Pft[€/hm]=((Rv)cell[€]-C0 [€/hm])/(C0 [€/hm]).

6767

Conclusions

One of the most important challenges faced by the wireless industry today is providing seamless coverage for universal mobile and wireless communicationsCustomers expect their mobile equipment to work everywhere, including buildings, commercial centres, airports, and tunnels, and next generation wireless networks must provide improved coverage to these indoor environments

6868

Conclusions (cont. 1)

In this work, one shows that pico-cells will be an affordable solution for providing the required network quality and to reduce infrastructure investments and running costsOne starts by proposing a model for costs/ revenues, which allows for the determination of the revenue and cost per hectometre, per yearRevenues are proportional to the supported throughput, which was obtained through simulation by using the IST-SEACORN System Level Simulator

6969

Conclusions (cont. 2)

In the office scenario if the radius decreases and the number of BSs increases the blocking probability decreases almost linearlyTo compute the supported traffic, a curve for the supported f as a function of the cell radius was obtained When the cell radius decreases, the supported traffic and the corresponding throughput increase but at the cost of a significant increase in the number of BSs

7070

Conclusions (cont. 3)

From these results, the profit (in percentage) was obtained, and the optimum (most profitable) cell radius was found One concludes that the profit is highly dependent on costsWhen the costs will decrease the deployment of smaller cells will become profitable while increasing capacity and reducing prices

7171

Traffic from mobility in a roundabouttaking the multi-service into account

η/2

η/2

η/2η/2

η/2

η/2

λ

λ

µ

µ

7272

Simulation of the “air interface”

7373

New projects ...

7474

CROSSNET (Técnicas de Cross-layer e Planeamento de Redes em Sistemas B3G )

Traffic models and Qos parameters MAC definition and Cross-layer design Network planning and dimensioning

7575

Wimax (IEEE 802.16) 3.5 ou 5.8 GHz

7676

Projects in the area of Wimax

MobileMANContacts with safety publicservices

7777

Beira interior

25km

Guarda

ManteigasSabugal

Covilhã

Fundão

Penamacor

Idanha Nova

Castelo Branco

Belmonte

7878

IEEE 802.16 (WiMAX) –Point-to-PointApplications

Antena covilhã Antena Castelo Branco

Antena Gardunha

Instalações Faculdade - Covilhã

Instalações Faculdade – C. Branco

7979

IEEE 802.16 (WiMAX) – Pointo-to-MultipointApplications

Antenas

Aplicaçãoesactivas/monitorização em banda larga

BS- Hospital – Central P.Civil

8080

Other projects ...

8181

COST

COST 259 (Wireless Flexible PersonalCommunications), 1996-2000COST 273 (“Towards Mobile BroadbandMultimedia Communications”), 2001-2005 (projecto europeu, em consórcio)COST 290 (“Traffic and QoS Management in Wireless Multimedia Networks”), 2004-2007 (projecto europeu, em consórcio)

OTHER PROJECTSSISTEMA DE COMPUTAÇÃO E INTRUMENTAÇÃO CIENTÍFICA PARA INVESTIGAÇÃO EM REDES E COMUNICAÇÕES MULTIMÉDIA AVANÇADAS

8282

Páginas Web

http://www.comnets.rwth-aachen.de/~ftp-mbs/demonstrator.htmlhttp://samba.ptinovacao.pt/samba-menu.htmlhttp://seacorn.ptinovacao.pthttp://www.e-projects.ubi.pt/samuraihttp:// www.e-projects.ubi.pt /multiplan

8383

Conclusão

The mission of WE-MOVE@Covilhã is• Help people on better communications• Contribute for the development of science and teaching

through mobile telecommunicatioonsThis presentation “travelled” through the past andnowadays projectsNew projects and challenges have also beenpresentedI hope the presentation can contribute to a betteridentification with our team.

Thank you very much!

8484

Motivação, historial até à aprovação do MobileMAN, contactos com diversos interessados potenciais

A ideia nasceu na primavera de 2004, após uma conversa com o Prof. Atílio na Universidade de Aveiro; no entanto, a vontade de colaboração tinha nascido durante o PIMRC’ 2002 em LisboaGanhou forma no concurso de projectos da FCT cujo prazo terminou em Julho de 2004, onde foi classificada com “Excelente” e foi financiada• 77 116 €, dos quais 20 230 € são para recursos humanos

8585

Objectivos e áreas chave

0) Gestão1) ModelaModelaçção de trão de trááfego e fego e QoSQoS2) DefiniDefiniçção do MAC e tão do MAC e téécnicas de cnicas de ““crosscross--layerlayer””3) PlaneamentoPlaneamento celularcelular e e optimizaoptimizaççãoão

8686

Gestão

Relatório anual em Abr 2006

Relatório anual em Abr 2007

Relatório Final Set/Out 2007

Conferências/journals – calendário / quais?

Workshop do projecto ou Conferências relacionadas com o projecto

Página Web

8787

1- ModelaModelaçção de trão de trááfego e fego e QoSQoS

Physical layer characteristics and mode adaptivity; Inputs for the definition of novel Radio Resource Management (RRM) protocols that include Medium Access Control (MAC) and Usage Parameter Control (UPC) mechanisms for the QoSprovision under fairness constraintsInvestigation for the use of existing/new L2 and L3 QoSarchitectures (e.g., MPLS and DiffServ) in a mobile environment; Impact of services and applications characterisation on traffic modelling and QoS; Traffic engineering aspects related to the measurement, modelling, and control of multimedia multi-class traffic and the provision of inputs to the achievement of specific specificperformance objectives, including the planning of network capacity under QoS guarantee, and the efficient, reliable transfer of informationMobile IP related aspects (e.g., micro-mobility architectures).• TCP modifications to make it more suitable for a wireless scenario; • Evaluation of the impact of MAC choices/rules on the TCP layer

throughput.

8888

ModelaModelaçção de trão de trááfego e fego e QoSQoS

The investigated techniques will be able to manage multimedia traffic with different characteristics in terms of burstiness, QoS, load, etc. Also regarding this topic a huge number of issues for investigation exists, among which statistical traffic models for Multimedia Wireless Networks, mobility and location awareness, dynamic resource allocation mechanisms and adaptive MAC protocols depending on traffic load and channel propagation conditions and based on QoSrequirements, etc.

8989

ModelaModelaçção de trão de trááfego e fego e QoSQoSMaio 2005 Out 2007

9090

2- DefiniDefiniçção do MAC e tão do MAC e téécnicas de cnicas de ““crosscross--layerlayer””

MAC definition and cross-layer design, where the use of the traffic model results, and proposals for architectures using cross-layer information (CLI) to achieve QoS are investigated and assessed. Research work will include the identification and transport of relevant cross-layer information (CLI), the definition of a cross-layer (CL) architecture framework, and Cross-layer strategies between PHY and MAC/RRM

9191

2- DefiniDefiniçção do MAC e tão do MAC e téécnicas de cnicas de ““crosscross--layerlayer””

This task targets the design of a MAC layer for future wireless systems exploiting on one hand the some information of the physical layer (channel state) and on the other hand information from layer 3 dealing with QoS parametersSince the use of multiple antennas is expected to play an important role in the development of these systems, the objective is to study the needs and constraints of a MIMO aware architecture with QoS support.

9292

2- DefiniDefiniçção do MAC e tão do MAC e téécnicas de cnicas de ““crosscross--layerlayer””

Identification of cross-layer architectures for future wireless systemsDefinition of PHY vector to be passed to the MAC layer Development of simulation platform to study L2 algorithms (namely scheduling)Proposal and of scheduling algorithms for wireless packets networks

9393

2- DefiniDefiniçção do MAC e tão do MAC e téécnicas de cnicas de ““crosscross--layerlayer””

Maio 2005Out 2005

9494

3- PlaneamentoPlaneamento celularcelular e e optimizaoptimizaççãoão

9595

3- PlaneamentoPlaneamento celularcelular e e optimizaoptimizaççãoão

Network planning and optimisation, which represents the synthesis and integration of the two previous activities by means of performance evaluation (including simulation). Multi-service deployment scenarios, with simultaneous support of multi-rate multimedia applications, provides a framework for possible operation environments. Traffic engineering aspects related to the measurement, modelling, and control of multimedia multi-class traffic (e.g., related with mobile IP and micro-mobility issues) will also be addressed, as well as novel packet-switched QoSarchitectures aspects, and their performance. The impact of economic in systems optimisation will also be addressed.

9696

3- PlaneamentoPlaneamento celularcelular e e optimizaoptimizaççãoão

Maio 2005 Out 2007

9797