Transcript 2- Definição do MAC e técnicas de “cross-layer” - We-Move

CROSSNET
Técnicas de Cross-layer e Planeamento de Redes em
Sistemas B3G
(Cross-layer and Network Planning for B3G Systems)
Fernando J. Velez
IT / DEM, University of Beira Interior
Covilhã, Portugal
http://www.demnet.ubi.pt/~velez
http://www.e-projects.ubi.pt
[email protected]
Kick-off meeting, IT/DEM-UBI, 30th June 2005.
1
Agenda
11.00 Recepção e boas vindas.
11.10 Início dos trabalhos:
_ Apresentação das equipas
_ Motivação e razão de ser do CROSSNET.
_ Objectivos e áreas chave; estrutura e gestão
do projecto (3 áreas chave de I&D mais a área
chave de gestão).
_ Prazos para a conclusão das várias subtarefas; deliverables e relatórios anuais.
12.30 A L M O Ç O
2
Agenda (tarde)
14.15 Apresentação detalhada de cada tarefa,
prazos, relatórios, etc:
0 - Gestão
1 - Modelação de tráfego e QoS,
2 - Definição do MAC e técnicas de “cross-layer”
3 - Planeamento celular e optimização
15.50 Disseminação dos resultados:
_ conferências, revistas e possibilidades para a realização
dum Workshop do projecto
_ página Web
16.00 Reunião de Gestão (recursos humanos, equipamento,
bolsas e estágios, reuniões e outras missões, outros
gastos; projectos final de curso e teses)
16.40 Conclusão da reunião
3
http://www.ubi.pt
4
We-Move@Covilhã - Motivation


Nowadays, research on mobile and wireleess
communications has a large margin for
expansion
Institute for Telecommunication (IT) – Covilhã
Laboratory follows this evolution with the
participation of their members in European
projects 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
5
Our First projects ...
6
RACE-MBS (Mobile Broadband
System): Demonstrator at 60 GHz and
cellular planning tool
7
ACTS-SAMBA (System for Advanced
Mobile Applications)
MBS Services
ServicesPublic
and applications
MBS
Base Station
Emergency
Service
Mobile
Office
Mobile
Office
Video Telephone
Tourist
Information
Outside
Broadcast
City Guidance
Electronic
Newspaper
8
MBS Concept
Very
High
xDSL,
Cable
and Fiber
MBS
High
WiFi
Data
Rate
WiMAX
4G
Low
3G
0
Low
Mobility
High
9
EXPO’ 98
10
Sorrento, Italy
11
Filed Trials in Aveiro
MT1
BST1
BSC
Core
Network
MT2
BST2
12
The cellular planning process for MBS
Cost
Parameters
Frequency
Bands
Propagation
Model
Cell Coverage
and
Frequency Reuse
Technological
Constraints
Reuse Pattern,
Coverage Distance
MBS
Optimisation
MAC Protocol
Spectral
Efficiency
Multi-service
Traffic
Engineering
Channel Structure
Services
Characterisation
Cost / Revenues
Deployment Scenarios
Traffic from Mobility
BS
MS
BS
MS
f1
-2D -(2D-R)
-D -(D-R)
BS f1
f1
MS
MS
f1
BS
MS
BS
f1
-R
0
R
D-R
D
2D-R
2D
13
WE-MOVE@Covilhã.it.pt.europe
14
WE-MOVE@Covilhã.it.pt.europe
A Team for Wireless Planning for Mobile
and Vehicular Technologies
Mission


Help people on better communications
Contribute for the development of science and
teaching through mobile telecommunicatioons
15
IST-SEACORN
16
IST-SEACORN (Simulation of Enhanced
UMTS Access and Core Networks)
Us er
m
obilit
y
GSM
/
HSCSD
GSM
lowmobile
s
GSM/GPRS
as
f
tmobile
M
BS
GSM
/
EDGE
EUM
TS
UM
TS
HI
PERLAN,
802.11a/b/g
movable
155M
20M
10M
2M
xDSL
384k
64k
144k
SDN
I
9.6k
ixed
f
Servic e
dat
arat
e
bit
[
/s ]
17
Deployment Scenarios
Applications Usage [%]
Sound
Voice
Voice over IP
Audio Streaming
Total
Narrowband
Videoconference, Teleadvertising
Data File Transfer, FTP
Desktop MM, Web browsing
Broadband Videotex,
E-commerce
Total
Wideband
Mobile Tele-working
Assistance in Travel
E-newspaper
HD Videotelephony
Total
Abbre- Max Data
viation Rate [kb/s] BCC URB ROA
VOI
VIP
AUD
12
12
64
19.9
14.3
34.2
40.2
29.1
9.7
79.0
29.0
20.9
6.6
56.5
VCO
384
4.6
FTP
DMM
ECO
384
384
384
7.8
16.8
7.8
6.8
5.3
11.3
5.3
37.0
6.8
21.9
4.9
4.4
4.9
14.1
13.5
MTW
ATR
ENP
HVT
1536
1536
1536
1920
7.7
5.3
15.8
28.8
8.1
21.6 18
Services Classification (new simuation
scenarios)




Conversational
Service datarate classes
• Voice
Voice
12.2 kb/s
• Video-telephony
High Interactive MM
< 144 kb/s
• HD Video-telephony
Narrowband
[144,384] kb/s
Wideband
]384, 2 048] kb/s
Interactive / Streaming
Broadband
> 2 Mb/s
• Multimedia Web browsing
• Assistance in Travel
Interactive / Background
• Instant Messaging Multimedia
Multi-class
• Wireless LAN-Interconnection
19
Environments and mobility
y
Office
BusinessCity Centre
S
S
1
D
2
D
S
3
D
Vehicular
x
20
SEACORN Simulation Scenarios
Applications Usage [%]
Data Rate OFF
[kb/s]
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
1024
25.0
Wideband
Instant Messaging for Multimedia
(IMM)
Assistance in Travel (ATR)
HD Video telephony (HDT)
Broadband
Wireless LAN Interconnection (WLI)
Density Factor (users / m2)
1660
2048
12780
23.5
31.0
15.0
-
-
0.150 0.031 0.012
21
BHCA for Office environment
0.5
VOI
BHCA [min-1]
0.4
Office
VTE
MWB
0.3
IMM
WLI
0.2
0.1
0
0
VOI
VTE
MWB
IMM
WLI
0.01
Voice
Video-telephony
Multimedia web browsing
Instant Messaging for Multimedia
Wireless LAN Interconnection
0.02
f
0.03
0.04
0.05
average traffic per user 0< f <1
BHCAmin 1  
Usage M  f

100  min 
22
System Level Simulations hipothesis




Fraction of active users, f = 3 %
BCC Manhattan geometry with Node Bs, placed
on crosses, spaced 230 m between eachother
25 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.
23
System Level Simulations Initial
Results: Blocking and SHO Failure
Probability
Blocks and SHO failures
BCC Environment
1.3
1.2
1.1
1
0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
s
50
00
us
er
s
45
00
us
er
s
40
00
us
er
s
35
00
us
er
s
30
00
us
er
s
25
00
us
er
s
us
er
20
00
us
er
s
0
15
00
Blocks - SHO failure %
0.9
Capacity
Blocks %
SHO failures %
24
System Level Simulations Initial
Results: Throughput and delay (BCC)
Throughput and Delay
BCC Environment
30
0.15
20
0.09
15
0.06
10
Mean Delay (seconds)
0.12
0.03
5
Throughput
s
50
00
us
er
s
us
er
s
Mean Delay
45
00
Capacity
40
00
us
er
s
35
00
us
er
s
30
00
us
er
s
us
er
25
00
us
er
20
00
us
er
s
0
s
0
15
00
Throughput (Mbps)
25
25
Conclusions on IST-SEACORN (WP1)





Future 3.5 G systems have to be able to support
nowadays applications and new ones, with different
capacity and requirements
A set of scenarios was drawn by associating values
of service usage with each of the eight deployment
scenarios
Responding to the necessity of diminishing the
burden on simulation work, a set of three simpler
scenarios was produced
A traffic generation model was described in order to
allow quantification and description of traffic offered
to the E-UMTS network
This model is based on population and service
penetration values in order to determine call
generation rates for the constituent services within
each of the selected scenarios
26
Conclusions (cont.)




For each service an activity model was presented,
and the ON and OFF states were characterised by
appropriate statistical distributions for source traffic
Application QoS and GoS requirements were
addressed, including the impact of mobility
This 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 assumptions
A glimpse on simulation results was presented
27
SAMURAI
28
http://www.ubi.pt
[email protected]
http://www.demnet.ubi.pt/~velez/Samurai.htm
http://www.e-projects.ubi.pt/samurai
http://www.formare.pt/samurai
29
Main Objectives
30
Wireless Networks IEEE 802.11 (Wifi)
31
Orinoco Client Manager
32
Access Points (APs) Wifi and Antennas
34
New antenna, extra gain (G~12 dBi)
0
-4
-3
-20
-2
-1
-40
-0.5
-60
0
0.5
-80
48
42
36
30
24
18
12
2
6
0
1
-100
-4
3
4
35
Ergonomy -> VABAMPAC

VABAMPAC - Validation using bar code of the
Administration of Medication to Patients
36
E-health (Medigraph, PT Inovação)
37
E-health, CHCB
38
MULTIPLAN
39
MULTiPLAN (Multi-service Cellular
Plannning for Mobile Communication
Systems Beyond 3G)
40
MULTIPLAN (http://www.e-projects.ubi.pt)


The project focus is multi-service cellular planning for
mobile communication systems beyond 3G
It 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
41
Outline








Motivation
Office scenario
• Topology
• Cell structure
• Mobility model
• Radio propagation model
The simulator
QoS measures
Capacity estimation
Cost/Revenue Model
Economic impact
• Assumptions
• Optimisation and profit
Conclusions
42
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
increases
Traffic 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
. BS
. BS
43
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
issue
QoS and the expected net revenue are dependent
Therefore results for system capacity are
important
Acceptable values are obtained in order to have
an acceptable GoS (Grade of Service)
44
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.
45
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
Sound
High Interactive Multimedia,HIMM
Narrowband
Wideband
Density Factor (users / m2)
Rb [kb/s] Usage
12.2
144
384
768
29.0
18.0
24.0
29.0
0.150
 [min]
3
3
15
15
46
Office scenario

Topology
• Floor with 140 m x 60 m, and 1260 users (corresponding
to a density factor of 0.15 user/m2).
y
60
S
S
1
D
2
D
S
3
D
140
x
47
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
60
140
x
48
Radio Propagation Model

Radio Propagation Model (COST 231)
• Office Environment
 Indoor Office
 L = 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.
49
The simulator

The SEACORN simulator is a System Level
Simulator (SLS) that captures the dynamic endto-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.
50
The simulator (cont.)
51
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.
52
QoS measure - blocking probability
40
3%
35
2%
1%
30
4%
Pb[%]
25
20
15
10
5
2%
0
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]
53
Delay for for a fraction of active users f = 4%
12.7m
8.3m
6.1m
7.4m
0.15
delay [s]
0.12
9.3m
6.7
5.6m
0.09
0.06
0.03
0
0
50
100
t [s]
150
200
54
QoS measure – handover failure
probability
f=1%
2.5%
f=2%
2.0%
f=3%
Phf [%]
f=4%
1.5%
phf_max
1.0%
0.5%
0.0%
5.0
10.0
15.0
20.0
25.0
30.0
35.0
R[m]
55
40
Capacity Estimation – active users as
function of radius
3%
2%
35
1%
30
4%
Pb[%]
25
20
15
10
5
0
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]
5%
f = 0.1207R-0.6451
4%
f [%]
3%
2%
1%
Pb=2%
0%
0
5
10
15
20
25
R [m]
30
35
Power
40
(Pb=2%)
45
56
Throughput [Mbit/s]
Capacity estimation – throughput (f = 4%)
11
10
9
8
7
6
5
4
3
2
1
0
5.6m
6.1m
0
20
40
60
80
100
120
140
160
180
t [s]
57
40
Capacity Estimation – throughput as
function of radius
3%
2%
35
1%
30
4%
Pb[%]
25
20
15
10
5
14
0
-0.7225
thr = 37.145R
5.6
6.1
6.7
7.4
8.3
9.3
12
10.8
12.7
15.6
20
25
30
35
40
R[m]
Throughput [Mbit/s]
10
8
6
Pb=2%
4
2
0
0
5
10
15
20
R[m]
25
30
35
40
58
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 BSs
per 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.
59
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[ €].
60
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]).
61
Economic Impact - assumptions

Taking 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]).
62
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.
Parameters
Initial Costs:
BS price
Installation
License fees
Annual Cost:
Operation and maintenance
Values [€]
A
B
5000
3000
1000
2500
250
1000
1000
250
63
Assumptions (cont.)



Maximum life-time of BS is 5 years
Hence, for case A,
Cfi[€/hm] =1000
Cfb[€/hm] =(5000+3000)/5+1000
The analysis is made under null discount rate
Values [€]
Parameters
Initial Costs:
BS price
Installation
License fees
Annual Cost:
Operation
maintenance
and
A
B
5000
3000
1000
2500
250
1000
1000
250
64
Economic impact – Optimisation and
profit
120000
Rv[€/hm], R144=0.005
Rv[€/hm], R144=0.02
C0[€/hm]
C0, Rv [€/hm]
100000
80000
60000
40000
20000
0
0
5
10
15
20
25
30
35
40
R[m]
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]]
65
Economic impact – Optimisation and
profit (cont.)
B- R144=0.005
B- R144=0.02
A- R144=0.02
A- R144=0.005
1400
1200
Profit [%]
1000
800
600
400
200
0
0
5
10
15
20
R [m]
25
30
35
40
Profit per unit length per year, in percentage, for different R144[€/min].
Pft[€/hm]=((Rv)cell[€]-C0 [€/hm])/(C0 [€/hm]).
66
Conclusions

One of the most important challenges faced by
the wireless industry today is providing seamless
coverage for universal mobile and wireless
communications

Customers 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
67
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 costs
One starts by proposing a model for costs/
revenues, which allows for the determination of
the revenue and cost per hectometre, per year
Revenues are proportional to the supported
throughput, which was obtained through
simulation by using the IST-SEACORN System
Level Simulator
68
Conclusions (cont. 2)

In the office scenario if the radius decreases and
the number of BSs increases the blocking
probability decreases almost linearly

To 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
69
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 costs

When the costs will decrease the deployment of
smaller cells will become profitable while
increasing capacity and reducing prices
70
Traffic from mobility in a roundabout
taking the multi-service into account
/2
/2
/2
/2
/2
/2




71
Simulation of the “air interface”
72
New projects ...
73
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
74
Wimax (IEEE 802.16) 3.5 ou 5.8 GHz
Ligação ponto a ponto
Gardunha
Hospital
C. Branco
Ligação Ponto - Multiponto
Rede MAN ( Covilhã )
FCS
Covilha
75
Projects in the area of Wimax


MobileMAN
Contacts with safety public
services
76
Beira interior
Guarda
Manteigas
Belmonte
Sabugal
Covilhã
Penamacor
Fundão
Idanha Nova
Castelo Branco
25km
77
IEEE 802.16 (WiMAX) –Point-to-Point Applications
Antena covilhã
Antena Castelo Branco
Antena Gardunha
Instalações Faculdade - Covilhã
Instalações Faculdade – C. Branco
78
IEEE 802.16 (WiMAX) – Pointo-to-Multipoint Applications
Antenas
Aplicaçãoes
activas/monitorização em
banda larga
BS- Hospital – Central P.Civil
79
Other projects ...
80
COST



COST
259
(Wireless
Flexible
Personal
Communications), 1996-2000
COST
273
(“Towards Mobile
Broadband
Multimedia
Communications”),
2001-2005
(projecto europeu, em consórcio)
COST 290 (“Traffic and QoS Management in
Wireless Multimedia Networks”), 2004-2007
(projecto europeu, em consórcio)
OTHER PROJECTS
 SISTEMA
DE
COMPUTAÇÃO
E
INTRUMENTAÇÃO
CIENTÍFICA PARA INVESTIGAÇÃO EM REDES E
COMUNICAÇÕES MULTIMÉDIA AVANÇADAS
81
Páginas Web





http://www.comnets.rwth-aachen.de/~ftpmbs/demonstrator.html
http://samba.ptinovacao.pt/samba-menu.html
http://seacorn.ptinovacao.pt
http://www.e-projects.ubi.pt/samurai
http:// www.e-projects.ubi.pt /multiplan
82
Conclusão

The mission of WE-MOVE@Covilhã is
• Help people on better communications
• Contribute for the development of science and teaching
through mobile telecommunicatioons



This presentation “travelled” through the past and
nowadays projects
New projects and challenges have also been
presented
I hope the presentation can contribute to a better
identification with our team.
Thank you very much!
83
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 Lisboa
Ganhou 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
84
Objectivos e áreas chave




0) Gestão
1) Modelação de tráfego e QoS
2) Definição do MAC e técnicas de “cross-layer”
3) Planeamento celular e optimização
85
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
86
1- Modelação de tráfego e QoS






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 QoS
provision under fairness constraints
Investigation for the use of existing/new L2 and L3 QoS
architectures (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 specific
performance objectives, including the planning of network
capacity under QoS guarantee, and the efficient, reliable transfer
of information
Mobile 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.
87
Modelação de tráfego e QoS
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 QoS
requirements, etc.
88
Modelação de tráfego e QoS
Maio 2005
Out 2007
89
2- Definição do MAC e técnicas de “crosslayer”

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
90
2- Definição do MAC e técnicas de “crosslayer”


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 parameters
Since 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.
91
2- Definição do MAC e técnicas de “crosslayer”




Identification of cross-layer architectures for
future wireless systems
Definition 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
92
2- Definição do MAC e técnicas de “crosslayer”
Maio 2005
Out 2005
93
3- Planeamento celular e optimização
94
3- Planeamento celular e optimização




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 QoS
architectures aspects, and their performance.
The impact of economic in systems optimisation will also
be addressed.
95
3- Planeamento celular e optimização
Maio 2005
Out 2007
96
97