TY - GEN
T1 - Efficient V2V Communication Scheme for 5G MmWave Hyper-Connected CAVs
AU - Mavromatis, Ioannis
AU - Tassi, Andrea
AU - Piechocki, Robert J.
AU - Nix, Andrew
N1 - Presented at the IEEE ICC 2018 Workshop - 5G and Cooperative Autonomous Driving
PY - 2018/8
Y1 - 2018/8
N2 - Connected and Autonomous Vehicles (CAVs) require continuous access to sensory data to perform complex high-speed maneuvers and advanced trajectory planning. High priority CAVs are particularly reliant on extended perception horizon facilitated by sensory data exchange between CAVs. Existing technologies such as the Dedicated Short Range Communications (DSRC) are ill-equipped to provide advanced cooperative perception service. This creates the need for more sophisticated technologies such as the 5G Millimetre-Waves (mmWaves). In this work, we propose a distributed Vehicle-to-Vehicle (V2V) mmWaves association scheme operating in a heterogeneous manner. Our system utilises the information exchanged within the DSRC frequency band to bootstrap the best CAV pairs formation. Using a Stable Fixtures Matching Game, we form V2V multipoint-to-multipoint links. Compared to more traditional point-to-point links, our system provides almost twice as much sensory data exchange capacity for high priority CAVs while doubling the mmWaves channel utilisation for all the vehicles in the network.
AB - Connected and Autonomous Vehicles (CAVs) require continuous access to sensory data to perform complex high-speed maneuvers and advanced trajectory planning. High priority CAVs are particularly reliant on extended perception horizon facilitated by sensory data exchange between CAVs. Existing technologies such as the Dedicated Short Range Communications (DSRC) are ill-equipped to provide advanced cooperative perception service. This creates the need for more sophisticated technologies such as the 5G Millimetre-Waves (mmWaves). In this work, we propose a distributed Vehicle-to-Vehicle (V2V) mmWaves association scheme operating in a heterogeneous manner. Our system utilises the information exchanged within the DSRC frequency band to bootstrap the best CAV pairs formation. Using a Stable Fixtures Matching Game, we form V2V multipoint-to-multipoint links. Compared to more traditional point-to-point links, our system provides almost twice as much sensory data exchange capacity for high priority CAVs while doubling the mmWaves channel utilisation for all the vehicles in the network.
KW - Connected and Autonomous Vehicles
KW - CAV
KW - MmWaves
KW - V2X
KW - Multipoint-to-Multipoint
KW - 5G
KW - Matching Theory
UR - http://www.scopus.com/inward/record.url?scp=85050301542&partnerID=8YFLogxK
UR - https://arxiv.org/abs/1802.10472
U2 - 10.1109/ICCW.2018.8403780
DO - 10.1109/ICCW.2018.8403780
M3 - Conference Contribution (Conference Proceeding)
SN - 9781538643297
T3 - IEEE International Conference on Communications
SP - 1
EP - 6
BT - 2018 IEEE International Conference on Communications Workshops (ICC Workshops 2018)
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018
Y2 - 20 May 2018 through 24 May 2018
ER -