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Crossnet workshop, February 2008, IT Lisboa
Wireless Vehicular Communications: Challenges and Impact on 4G Research
Javier Gozálvez
Uwicore laboratory, University Miguel Hernandez
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
2Contents
• Introduction
• Opportunistic Transmission Schemes
• Contextual Communication Mechanisms
• Robust and Efficient Networking Protocols
• Research ‘Testbed’ towards 4G Systems
• Conclusions
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
• Uwicore: Ubiquituous Wireless Communications Research laboratory
– Signal Theory and Communications Division at the University Miguel Hernandez (Elche, Spain)
– 5 full time researchers
– Active cooperation: eSafety, eMOV, CIO, Innovalia and UPV
• Research: resource management, system dimensioning & optimization
– Wireless Vehicular Communications: eTRANSIT
� Heterogeneous wireless ad-hoc communications platform for the management and optimization of road traffic
– Beyond 3G systems: Decision policies for the common radio resource management of heterogeneous wireless networks
– Wimax systems: RURAL-TUR
� Wireless Platform for the Deployment of Multimedia Services and Content in the Rural Tourism Sector
3Introduction
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
4
• Wireless vehicular communication systems– Traffic safety, efficiency and infotainment
• V2V and V2I communications complemented with wireless sensor networking capabilities– Ubiquitous and ad-hoc connectivity– Real-time continuous monitoring
• Research activities already started and ‘mature’– Standardisation 802.11p, IEEE 1609.3 & 4– Frequency assignment US, Japan and Europe (5.8-5.9GHz)
Introduction
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
• European ICT in vehicles research start around 2000– Mainly German participation
• Current European initiatives– eSafety forum– Framework research programs
• eSafety forum– Support entity for implementation of ICT technologies in vehicles
� Mainly traffic safety
– Working groups: discussion and analysys of European situation� Avoid defragementation
– Englobes all stakeholders– Important dissemination activities: eCall
5Introduction
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
• Framework research programs– First ‘eSafety’ projects at the end of FP6: CVIS, Coopers, Safespot,
etc– Transport call beginning 2007 and ICT for Cooperative Systems end
2007
• CVIS (Cooperative Vehicle-Infrastructure Systems)– http://www.cvisproject.org– Develop and test new technologies to allow V2V and V2I– Focus on architecture and applications, multi-channel terminal,
enhance vehicle positioning
• SEVECOM (Secure Vehicular Communication)– http://www.sevecom.org/– Security and privacy
6Introduction
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
• SAFESPOT (Cooperative vehicles and road infrastructure for road safety)– http://www.safespot-eu.org– Prevent road accidents developing a Safety Margin Assistant
� Detects in advance potentially dangerous situations and extends in space and time drivers´ awareness of the surrounding environment
� SMA: Intelligent Cooperative System based on V2V and V2I
• COOPERS (CO-OPerative SystEms for Intelligent Road Safety)– http://www.coopers-ip.eu– Road safety through V2I only: build upon existing infrastructure and
equipment� DAB, GSM/UMTS, etc
– Road sensor infrastructure and traffic control applications
7Introduction
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
• MORYNE (Enhancement of public transport efficiency through the use of mobile sensor networks)– http://www.fp6-moryne.org/– Uses public transport vehicles (e.g. buses) as elements of a network
of mobile sensors, communicating with the infrastructure– Setts up co-operation between public traffic management and city
traffic management
• INTRO (Intelligent roads)– http://intro.fehrl.org/– Combines sensing technologies and local databases with real-time
networking technologies� Fusion of different sensor types data (infrastructure or car based):
possibility to predict
8Introduction
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
• V2V and V2I have great potential but also important requirements and limitations
– Strict traffic safety QoS requirements– Decentralized communications management– High node’s mobility– Channel conditions
• Wireless vehicular communication research challenges
– Communications protocol reliability– Contextual communications– Reduce interference and channel congestion: system’s scalability– Robust and delay tolerant networking protocols– HMI, antennas, positioning, secutiry, etc
9Introduction
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
• Uwicore wireless vehicular communications research
– Adaptive and opportunistic communication protocols� Satisfy application QoS requirements while efficiently using the radio
resources
– Contextual communications dimensioning
– Channel modelling effect on communications research
– Robust wireless vehicular routing and data dissemination policies
– Integrated traffic and wireless emulation platform
10Introduction
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
11
5.9
00
5.8
90
5.8
80
5.8
70
5.9
10
5.9
20
5.8
60
(5M
Hz
-re
se
rve
d)US
A
Ro
ad
sa
fety
an
d
tra
ffic
eff
icie
nc
y
Ro
ad
sa
fety
an
d
tra
ffic
eff
icie
nc
y
Co
ntr
ol
ch
an
ne
l
Ro
ad
sa
fety
an
d
tra
ffic
eff
icie
nc
y
No
n-s
afe
tyre
late
d
5.9
00
5.8
90
5.8
80
5.8
70
5.9
10
5.9
20
5.8
60
No
n-s
afe
tyre
late
d
(5M
Hz
-re
se
rve
d)
Cri
tic
al
roa
d s
afe
ty
EU
RO
PE
WAVE (Wireless Access in Vehicular Environments)
• WAVE or IEEE 802.11p: evolution of IEEE 802.11a– MAC: basic CSMA/CA access method
– PHY: OFDM and 10MHz channel bandwidth
• USA and Europe: 7 channels in the 5.9GHz band– One Control Channel :reference channel to establish communication
links (ad hoc broadcast tx mode)
– Six Service Channels: public safety and private services
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
• IEEE 1609 family of standards– PHY and MAC– IEEE 1609.1
� Services and interfaces for WAVE applications
– IEEE 1609.2� Security and privacy
– IEEE 1609.3� Transport and network functionality
– IEEE 1609.4� Multi-channel operation
– IEEE 802.11e� QoS provision and priorisation policies at the MAC level
12WAVE (Wireless Access in Vehicular Environments)
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
• Communication policies require previous system dimensioning
• Urban intersection traffic safety scenario
– Distance from the crashing point at which vehicles receive the first message from the potentially colliding vehicle (D)
• Assumptions when first message received
1. The driver takes a period of time to react, RT. Between 1.5s and 3.5s
2. Then the driver push the brake pedal to try to avoid the collision. Emergency brake deceleration, 8 m/s2 Position of A
Reaction time (RT)
Emergency brake
Car Stopped
First message received
Opportunistic Transmission Schemes
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
• Important impact of transmission power and channel congestion– Supported speeds decreased around 11% due to packet collisions
40 50 60 70 80 90 100-100
-80
-60
-40
-20
0
20
40
60
80
100
Pos
itio
n
Speed [km/h]
TxPower=0.25W, no surrounding vehicles
ReceptionReaction RT1.5Car Stopped RT1.5Reaction RT3.5Car Stopped RT3.5
RT 1.5
RT 3.5
40 50 60 70 80 90 100-100
-80
-60
-40
-20
0
20
40
60
80
100TxPower=0.75W, no surrounding vehicles
Po
sitio
n
Speed [km/h]
ReceptionReaction RT1.5Car Stopped RT1.5Reaction RT3.5Car Stopped RT3.5
RT 1.5
RT 3.5
Opportunistic Transmission Schemes
40 50 60 70 80 90 100-100
-80
-60
-40
-20
0
20
40
60
80
100
Po
sitio
n
Speed [km/h]
TxPower=0.75W, IVS=40m
ReceptionReaction RT1.5Car stopped RT1.5Reaction RT3.5Car stopped RT3.5
RT 3.5
RT 1.5
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
• Timing of packet’s reception
• Adaptive and opportunistic transmission schemes
-5 0 5 10 15 20 25 30 35 40 450
10
20
30
40
50
60
70
80
90
Number of messages before the Critical Time
Pe
rcen
tage
of v
eh
icle
s
TxPower=0.75W, IVS=40m, RT=1.5s
40km/h
70km/h
100km/h
Opportunistic Transmission Schemes
0 1 2 3 40
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
Time to the intersection - TI [sec]
Num
ber o
f rec
eive
d pa
cket
s
TxPower=0.75W, speed=70km/h, IVS=20m, RT=1.5s
One sample
Mean valueCritical Time
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
16
• Impact of channel modelling on wireless vehicular communications– Channel ‘sensitive’ communications at 5.9GHz– V2V communications represent: same tx and rx antenna height
Opportunistic Transmission Schemes
0 20 40 60 80 100 1200
0.2
0.4
0.6
0.8
1
CD
F
Distance to the intersection [m]
Model 1Model 2Model 3Model 4
CD(RT0.75) CD(RT1.5)
0 2 4 6 80
20
40
60
80
100
Pe
rce
nta
ge
of v
eh
icle
s
Number of packets received before CD
Model 1Model 2Model 3Model 4
1 2 3 40
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
Model
Pro
bab
ility
of n
ot re
cept
ion
bef
ore
CD
No loadHigh channel load
19.3%
1.5%
4.2%
12.5%
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
17
• OPRAM: OPportunistic-driven adaptive RAdio resource Management– Adapts tx parameters
� Guarantee the traffic safety application requirements: correct reception of at least one packet before CD
– Efficiently uses the tx resources and the radio channel� Minimise tx power
Po
sitio
n o
f A
Opportunistic Transmission Schemes
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
18
0 50 100 150 2000
0.5
1
1.5
2
2.5
Distance to the intersection [m]
Tra
nsm
issi
on
pow
er [
W]
NT=10packets
NT=20packets
NT=40packets
CD
AR
0 50 100 150 2000
1
2
3
4
5
6
Tra
nsm
issi
on
pow
er [W
]
Distance to the intersection [m]
NT=10packets
NT=20packets
NT=40packets
CD
AR
Fixed transmission power
RT=0.75s RT=1.5s
• OPRAM operation
– Final transmission power levels
Opportunistic Transmission Schemes
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
19
• System performance using fixed tx powers
– High tx powers needed to avoid a collision – Probability of reception rapidly decreases with the distance
– High inefficient use of the WAVE control channel
0 50 100 150 2000
0.2
0.4
0.6
0.8
1
CD
F
Distance to the intersection [m]
Pt=0.25WPt=0.5WPt=1.25WPt=2.5WPt=4W
CD(RT1.5)
CD(RT0.75)
Opportunistic Transmission Schemes
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
20
• OPRAM performance
– Same traffic safety performance than a constant high tx power
– Reduces the global transmitting power levels� Specially for high NT values
– OPRAM results in a more efficient use of the channel resources
0 2 4 6 8 10 120
5
10
15
20
25
Pe
rce
nta
ge
of v
eh
icle
s
Number of packets received before CD
NT=10packets
NT=20packets
NT=40packets
Pt=2.5W (constant)
Probability of not reception
Opportunistic Transmission Schemes
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
21
0 2 4 6 8 10 120
5
10
15
20
25
30
Pe
rce
nta
ge
of v
ehi
cle
s
Number of packets received before CD
W ithout congestionW ith congestion
Probability of not reception
NT=10packets
• Potential to overcome negative congestion or channel correlationeffects: Increase nb of tx packets in AR or their tx power
Co
nfig
ura
tion
Co
nfi
gu
rati
on
ppNP TNeR =−== )1()0(
0 2 4 6 8 10 120
5
10
15
20
25
30
Per
cent
age
of v
ehic
les
Number of packets received before CD
NT=10
Compensated: increase NT
Probability of not reception
Opportunistic Transmission Schemes
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
22
• OPRAM system level channel efficiency
RCV ERR COL ECO TRX0
2000
4000
6000
8000
10000
Type of packet
Pac
kets
/s/k
m
Fixed power, Pt=2WFixed power, Pt=0.25WOPRAM, N
t=10
RCV ERR COL ECO TRX0
10
20
30
40
50
60
70
Type of packet
Per
cent
age
Fixed power, Pt=2WFixed power, Pt=0.25WOPRAM, N
t=10
Opportunistic Transmission Schemes
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.esCrossnet 2008
23
6350
6575
6800
7025
7250
6350
6575
6800
7025
7250
0
10
20
Position X [m]
Position Y [m]
Per
cent
age
of c
ollis
ions
6350
6575
6800
7025
7250
6350
6575
6800
7025
7250
0
10
20
Position X [m]
Position Y [m]
Per
cent
age
of c
ollis
ions
6350
6575
6800
7025
7250
6350
6575
6800
7025
7250
0
10
20
Position X [m]
Position Y [m]
Per
cent
age
of c
ollis
ions
Opportunistic Transmission Schemes
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
24
• Can we dimension communication protocols just on a user or system based?
• Need to consider effects derived from information exchange using wireless vehicular communication technologies– Rear-end collisions
– Contextual communications dimensioning: extend CD to CD+ED
Contextual Communication Mechanisms
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
25
• Case PT=RT
– CD independent of IVS
– ED non-linearly depends on IVS
– High values of ED in dense traffic
– Null values of ED in smooth traffic
– Strong dependence of ED with speed(specially for low values of IVS)
Case: v=70km/h, N=2 vehicles and RT=1.5s
Case: N=2 vehicles and RT=1.5s
5060
7080
90 1020
3040
0
20
40
60
80
IVS [m]v [km/h]
ED
[m]
5 10 15 20 25 30 35 400
20
40
60
80
100
IVS [m]
Dis
tanc
es [m
]
TR=1.5s - TP=1.5s - v=70km/h
CDEDCD + ED
Contextual Communication Mechanisms
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
26
• Dependence of ED with the number of vehicles
– Cumulative effect of the propagation time of the alert
– Dependence increases with PT
� High difference between visual propagation and routing
� ED could be avoided with efficient alert routing
� Routing also reduces the dependence of ED with RT
RT=0.75s RT=1.5s
PT (s) N=2 N=5 N=2 N=5
0.1 0.0 0.0 0.0 0.0
0.4 2.8 11.1 2.8 11.1
(=RT) 10.6 42.5 42.5 170.1
Case: v=70km/h, IVS=5m.
Contextual Communication Mechanisms
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
27
• Communication protocols: influence of speed and context in communications dimensioning
– Increment of CD and ED with speed requires high tx power
– Power limitations reached in some cases
� Potential alternative solution: V2I
Case: RT=PT=0.75s, IVS=10m and p=0.99
0
5
10
15
20
25
30T
ran
smis
sio
n p
ow
er
[W]
Power for CD
Power for CD+ED
N=2 N=5
50km/h 50km/h70km/h
90km/h
70km/h
90km/h
Contextual Communication Mechanisms
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
28
• Need to define adequate routing and broadcasting policies for relaying vehicular communications– Position based routing protocols: scalability and robustness against
topological changes– Selects next forwarding node based on positioning information to forward the
packet in the geographic direction of the destination
• Potential wireless vehicular routing protocols– Unicast protocols: based on beacons and list of neighbours
� GSPR: uses greedy forwarding to forward packets to nodes that are always progressively closer to the destination
� SAR: shortest path definition, graph model created, and routes over nodes in the graph closer to the destination
– Broadcast protocols: does not use beacons
� Contention Based Forwarding (CBF): sender broadcasts the message to all its neighbors and neighbors autonomously decide the one that will forward the packet
Robust and Efficient Networking Protocols
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
• Do not underestimate radio channel effect on networking protocols!
Crossnet 2008
29Robust and Efficient Networking Protocols
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
• Broadcast policies outperform unicast schemes
– But overload the channel….
Crossnet 2008
30Robust and Efficient Networking Protocols
Very low Low Medium High Very high0
10
20
30
40
50
60
70
80
90
100
Densidad de tráfico
Per
cent
age
of p
acke
ts re
ceiv
ed a
t des
tinat
ion
area
Unicast: GPSRUnicast: SAR (more-lanes path)Unicast: SAR (shortest path)Broadcast: CBF
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
• Proposal that improves unicast traffic density based routing protocols– Performance close to broadcasting CBF– Significantly reduces channel congestion
Crossnet 2008
31Robust and Efficient Networking Protocols
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
• Vehicle to Infrastructure communications– Winning technology? UMTS, WiMAX, DVB,…
� Reusing infrastructure or new road side units deployed?� Vehicle Infrastructure Integration: 57 RSUs deployed in Detroit test site
– WiMax: 28 sites / Wireline: 21 sites / 3G: 5 sites / Canopy: 2 sites / WiFi: 1 site
– Challenging scenario for efficient handovers and heterogeneous wireless networking
32Research ‘Testbed’ towards 4G Systems
Crossnet 2008
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
• What do we know about 4G?– IP-based– New radio interfaces: LTE…– New transmission techniques: MIMO…– Heterogenous wireless networking: CRRM…– Multi-hop cellular: fixed and mobile
Crossnet 2008
33Research ‘Testbed’ towards 4G Systems
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
• Research challenges in the development of mobile ad-hoc relaying 4G technologies– Relaying cooperation– Robust and delay tolerant networking
� Communications reliability� Contextual communications� Peer-to-peer channel effects
– Minimise channel congestion and interference� Contextual communications
Crossnet 2008
34Research ‘Testbed’ towards 4G Systems
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.es
35Conclusions
• Wireless vehicular communications offer a great potential to improve traffic safety and efficiency
• Need for intelligent and contextual communication protocols to ensure the communications reliability and the system’s scalability
• Wireless vehicular communications research represents a good testbed for future 4G mobile relaying multi-hop cellular networks
Uwicore, Ubiquitous Wireless Communications Research Laboratory
University Miguel Hernández, www.uwicore.umh.esIEEE WiVeC 2007
36
Thank you for your attention
This work was supported in part by the Spanish Ministerio de Fomento under the project T39/2006, by the Generalitat Valenciana under research grant BFPI06/126 and by the University Miguel Hernández under the 2005 Young Researcher Award received by Dr. Javier Gozalvez.
www.uwicore.umh.es