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://[email protected]
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://[email protected]
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