Fernando J. Velez IT / DEM, Universi ty of Beira Interior Covilhã, Portugal
description
Transcript of Fernando J. Velez IT / DEM, Universi ty of Beira Interior Covilhã, Portugal
11
Fernando J. Velez
IT / DEM, University of Beira Interior
Covilhã, Portugal
http://www.demnet.ubi.pt/~velez
http://www.e-projects.ubi.pt
Kick-off meeting, IT/DEM-UBI, 30th June 2005.
CROSSNET
Técnicas de Cross-layer e Planeamento de Redes em
Sistemas B3G(Cross-layer and Network Planning for B3G
Systems)
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AgendaAgenda
11.00 Recepção e boas vindas.11.00 Recepção e boas vindas.
11.10 Início dos trabalhos:11.10 Início dos trabalhos:
_ Apresentação das equipas_ Apresentação das equipas
_ Motivação e razão de ser do CROSSNET._ Motivação e razão de ser do CROSSNET.
_ Objectivos e áreas chave; estrutura e gestão _ Objectivos e áreas chave; estrutura e gestão do projecto (3 áreas chave de I&D mais a área do projecto (3 áreas chave de I&D mais a área chave de gestão). chave de gestão).
_ Prazos para a conclusão das várias sub-_ Prazos para a conclusão das várias sub-tarefas; deliverables e relatórios anuais. tarefas; deliverables e relatórios anuais.
12.30 A L M O Ç O12.30 A L M O Ç O
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Agenda (tarde)
14.15 Apresentação detalhada de cada tarefa, 14.15 Apresentação detalhada de cada tarefa, prazos, relatórios, etc:prazos, relatórios, etc:
0 - Gestão0 - Gestão 1 - 1 - Modelação de tráfego e QoS,Modelação de tráfego e QoS, 2 - 2 - Definição do MAC e técnicas de “cross-layer”Definição do MAC e técnicas de “cross-layer” 3 - Planeamento celular e optimização3 - Planeamento celular e optimização 15.50 Disseminação dos resultados: 15.50 Disseminação dos resultados:
_ conferências, revistas e possibilidades para a realização _ conferências, revistas e possibilidades para a realização dum Workshop do projectodum Workshop do projecto
_ página Web_ página Web16.00 Reunião de Gestão (recursos humanos, equipamento, 16.00 Reunião de Gestão (recursos humanos, equipamento,
bolsas e estágios, reuniões e outras missões, outros bolsas e estágios, 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
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http://www.ubi.pt
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We-Move@Covilhã - MotivationWe-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
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Our First projects ...
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RACE-MBS (Mobile Broadband System): Demonstrator at 60 GHz and cellular planning tool
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ACTS-SAMBA (System for Advanced Mobile Applications) Services and applicationsPublic M BS Services
O utsideBroadcast
C ity G uidance
M obileO ffice
E lectron icN ew spaper
M ob ileO ffice
Em ergencyServ ice
TouristIn form ation
M BSBase S tation
V ideo T e lephone
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MBS Concept
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EXPO’ 98
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Sorrento, Italy
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Filed Trials in Aveiro
BST1
BST2
BSC Core
Network
MT2
MT1
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The cellular planning process for MBS
MSBS
MSBS
MSBS
MSBS
MSBSf1 f1
f1
f1f1
-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 Scenarios
Traffic from Mobility
Cell Coverage andFrequency Reuse Multi-service
Traffic Engineering
Cost / Revenues
Frequency Bands
Propagation Model
Technological Constraints
SpectralEfficiency
MBS Optimisation
Cost Parameters
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WE-MOVE@Covilhã.it.pt.europe
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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
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IST-SEACORN
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IST-SEACORN (Simulation of IST-SEACORN (Simulation of Enhanced UMTS Access and Core Enhanced UMTS Access and Core Networks)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
/ G
PR
S
GSM/EDGE
UMTS
MBS
10 M
E-UMTS
HIPERLAN,802. 11a/b/g
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Deployment ScenariosApplications Usage [%] Abbre-
viation Max 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
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
Services Classification (new simuation scenarios)
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 BusinessCityCentre BusinessCityCentre
Vehicular
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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 23.5 HD Video telephony (HDT) 2048 31.0
Broadband Wireless LAN Interconnection (WLI) 12780 15.0 - -
Density Factor (users / m2) 0.150 0.031 0.012
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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
fMUsage
BHCA
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
[m
in-1
]
VOI
VTE
MWB
IMM
WLI
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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.
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System Level Simulations Initial Results: Blocking and SHO Failure ProbabilityBlocks and SHO failures
BCC Environment
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0.2
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0.4
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use
rs
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rs
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use
rs
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use
rs
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use
rs
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use
rs
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use
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use
rs
Capacity
Blo
cks
- S
HO
fai
lure
%
Blocks % SHO failures %
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System Level Simulations Initial Results: Throughput and delay (BCC) Throughput and Delay
BCC Environment
0
5
10
15
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use
rs
2000
use
rs
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use
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use
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Capacity
Th
rou
gh
pu
t (M
bp
s)
0
0.03
0.06
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0.12
0.15
Mea
n D
elay
(se
con
ds)
Throughput Mean Delay
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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
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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
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SAMURAI
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http://[email protected]
http://www.demnet.ubi.pt/~velez/Samurai.htm
http://www.e-projects.ubi.pt/samuraihttp://www.formare.pt/samurai
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Main Objectives
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Wireless Networks IEEE 802.11 (Wifi)
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Orinoco Client Manager
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Access Points (APs) Wifi and Antennas
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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
-0.5
0
0.5
1
2
3
4
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Ergonomy -> VABAMPAC
VABAMPAC - Validation using bar code of the Administration of Medication to Patients
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E-health (Medigraph, PT Inovação)
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E-health, CHCB
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MULTIPLAN
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MULTiPLAN (Multi-service Cellular Plannning for Mobile Communication Systems 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
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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
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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
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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
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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)
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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.
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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 [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
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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
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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
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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.
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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.
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The simulator (cont.)
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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.
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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%
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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
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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
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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%
Power(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 40
R[m]
Pb[
%]
3%
2%
1%
4%
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Capacity estimation – throughput (f = 4%)
0123456789
1011
0 20 40 60 80 100 120 140 160 180
t [s]
Thr
ough
put [
Mbi
t/s]
5.6m
6.1m
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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 40
R[m]
Pb[
%]
3%
2%
1%
4%
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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.
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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[ €].
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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]).
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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]).
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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.
ParametersValues [€]
A B
Initial Costs: BS price Installation License feesAnnual Cost: Operation and maintenance
500030001000
1000
2500250
1000
250
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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
ParametersValues [€]
A B
Initial Costs: BS price Installation License feesAnnual Cost: Operation and maintenance
500030001000
1000
2500250
1000
250
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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=0.02
C0[€/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]]
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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]).
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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
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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
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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
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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
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Traffic from mobility in a roundabout taking the multi-service into account
/2
/2
/2 /2
/2
/2
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Simulation of the “air interface”
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New projects ...
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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
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Wimax (IEEE 802.16) 3.5 ou 5.8 GHz
FCS
Covilha
HospitalC. Branco
Gardunha
Ligação ponto a ponto
Ligação Ponto - Multiponto
Rede MAN ( Covilhã )
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Projects in the area of Wimax
MobileMAN Contacts with safety public
services
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Beira interior
25km
Guarda
ManteigasSabugal
Covilhã
Fundão
Penamacor
Idanha Nova
Castelo Branco
Belmonte
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IEEE 802.16 (WiMAX) –Point-to-Point Applications
Antena covilhã Antena Castelo Branco
Antena Gardunha
Instalações Faculdade - Covilhã
Instalações Faculdade – C. Branco
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IEEE 802.16 (WiMAX) – Pointo-to-Multipoint Applications
BS- Hospital – Central P.Civil
Antenas
Aplicaçãoes activas/monitorização em banda larga
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Other projects ...
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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
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Páginas Web
http://www.comnets.rwth-aachen.de/~ftp-mbs/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
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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!
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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
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Objectivos e áreas chave
0) Gestão 1) Modelação de tráfego e QoSModelação de tráfego e QoS 2) Definição do MAC e técnicas de “cross-layer”Definição do MAC e técnicas de “cross-layer” 3) Planeamento celular e optimizaçãoPlaneamento celular e optimização
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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
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1- Modelação de tráfego e QoSModelação 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.
8888
Modelação de tráfego e QoSModelação 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.
8989
Modelação de tráfego e QoSModelação de tráfego e QoSMaio 2005 Out 2007
9090
2- Definição do MAC e técnicas de Definição do MAC e técnicas de “cross-layer”“cross-layer” 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- Definição do MAC e técnicas de Definição do MAC e técnicas de “cross-layer”“cross-layer” 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.
9292
2- Definição do MAC e técnicas de Definição do MAC e técnicas de “cross-layer”“cross-layer” 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
9393
2- Definição do MAC e técnicas de Definição do MAC e técnicas de “cross-layer”“cross-layer”
Maio
2005
Out 2005
9494
3- Planeamento celular e Planeamento celular e optimizaçãooptimização
9595
3- Planeamento celular e optimizaçãoPlaneamento 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.
9696
3- Planeamento celular e optimizaçãoPlaneamento celular e optimização
Maio
2005
Out 2007
9797