Abstract:
Millimeter-wave (mmWave) directional communication has been viewed as a means to achieve the goal of multiple gigabit data rate with low latency in vehicular networks, so...Show MoreMetadata
Abstract:
Millimeter-wave (mmWave) directional communication has been viewed as a means to achieve the goal of multiple gigabit data rate with low latency in vehicular networks, so as to fulfill the requirement of dissemination of a huge amount of sensory data. However, most of the existing researches focus on implementing the vehicular mmWave communications by point-to-point (P2P) transmissions between vehicles or base stations, which is not conductive to efficient dissemination of messages in a whole road segment. In this paper, we propose a novel gigabit message dissemination scheme called P2MP in mmWave/Dedicated Short Range Communications (DSRC) multi-hop vehicle-to-vehicle (V2V) network for highway scenario. P2MP includes: 1) a clustering-based transmitter beamforming method which helps a transmitter to search a relatively optimal transmission beam according to the collected environmental information. 2) a positioning-errors-based receiver beamforming which is used to determine the beam direction and beamwidth at every receiver. 3) a candidate forwarder selection mechanism which is devised to select reliable relays for next hop broadcast. Based on these three components, the proposed P2MP transmission scheme is able to broadcast massive messages to vehicles in the road. The simulation results show that our proposed scheme can effectively improve the efficiency of broadcasting large messages through mmWave.
Published in: IEEE Transactions on Intelligent Transportation Systems ( Volume: 23, Issue: 7, July 2022)
Funding Agency:
School of Computer Science and Technology, University of Science and Technology of China, Hefei, China
Xinming Zhang (Senior Member, IEEE) received the B.E. and M.E. degrees in electrical engineering from the China University of Mining and Technology, Xuzhou, China, in 1985 and 1988, respectively, and the Ph.D. degree in computer science and technology from the University of Science and Technology of China, Hefei, China, in 2001. Since 2002, he has been with the faculty of the University of Science and Technology of China,...Show More
Xinming Zhang (Senior Member, IEEE) received the B.E. and M.E. degrees in electrical engineering from the China University of Mining and Technology, Xuzhou, China, in 1985 and 1988, respectively, and the Ph.D. degree in computer science and technology from the University of Science and Technology of China, Hefei, China, in 2001. Since 2002, he has been with the faculty of the University of Science and Technology of China,...View more
School of Computer Science and Technology, University of Science and Technology of China, Hefei, China
Sheng Pan received the B.S. degree in computer science and technology from the University of Science and Technology of China, Hefei, China, in 2018. He is currently pursuing the Ph.D. degree with the School of Computer Science and Technology, University of Science and Technology of China. His research interest includes wireless networks.
Sheng Pan received the B.S. degree in computer science and technology from the University of Science and Technology of China, Hefei, China, in 2018. He is currently pursuing the Ph.D. degree with the School of Computer Science and Technology, University of Science and Technology of China. His research interest includes wireless networks.View more
School of Computer Science and Technology, University of Science and Technology of China, Hefei, China
Qingliang Miao received the B.E. degree in network engineering from the China University of Mining and Technology, Xuzhou, China, in 2016, and the M.E. degree in computer science and technology from the University of Science and Technology of China, Hefei, China, in 2019. His research interest includes wireless networks.
Qingliang Miao received the B.E. degree in network engineering from the China University of Mining and Technology, Xuzhou, China, in 2016, and the M.E. degree in computer science and technology from the University of Science and Technology of China, Hefei, China, in 2019. His research interest includes wireless networks.View more
Contents School of Computer Science and Technology, University of Science and Technology of China, Hefei, China
Xinming Zhang (Senior Member, IEEE) received the B.E. and M.E. degrees in electrical engineering from the China University of Mining and Technology, Xuzhou, China, in 1985 and 1988, respectively, and the Ph.D. degree in computer science and technology from the University of Science and Technology of China, Hefei, China, in 2001. Since 2002, he has been with the faculty of the University of Science and Technology of China, where he is currently a Professor with the School of Computer Science and Technology. From 2005 to 2006, he was a Visiting Professor with the Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, South Korea. He has authored or coauthored more than 100 articles. His research interests include wireless networks, big data, and deep learning. He was a recipient of the Second Prize of Science and Technology Award of Anhui Province of China in Natural Sciences in 2017 and the awards of Top Reviewer (1%) in computer science and cross field by Publons in 2019.
Xinming Zhang (Senior Member, IEEE) received the B.E. and M.E. degrees in electrical engineering from the China University of Mining and Technology, Xuzhou, China, in 1985 and 1988, respectively, and the Ph.D. degree in computer science and technology from the University of Science and Technology of China, Hefei, China, in 2001. Since 2002, he has been with the faculty of the University of Science and Technology of China, where he is currently a Professor with the School of Computer Science and Technology. From 2005 to 2006, he was a Visiting Professor with the Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, South Korea. He has authored or coauthored more than 100 articles. His research interests include wireless networks, big data, and deep learning. He was a recipient of the Second Prize of Science and Technology Award of Anhui Province of China in Natural Sciences in 2017 and the awards of Top Reviewer (1%) in computer science and cross field by Publons in 2019.View more
School of Computer Science and Technology, University of Science and Technology of China, Hefei, China
Sheng Pan received the B.S. degree in computer science and technology from the University of Science and Technology of China, Hefei, China, in 2018. He is currently pursuing the Ph.D. degree with the School of Computer Science and Technology, University of Science and Technology of China. His research interest includes wireless networks.
Sheng Pan received the B.S. degree in computer science and technology from the University of Science and Technology of China, Hefei, China, in 2018. He is currently pursuing the Ph.D. degree with the School of Computer Science and Technology, University of Science and Technology of China. His research interest includes wireless networks.View more
School of Computer Science and Technology, University of Science and Technology of China, Hefei, China
Qingliang Miao received the B.E. degree in network engineering from the China University of Mining and Technology, Xuzhou, China, in 2016, and the M.E. degree in computer science and technology from the University of Science and Technology of China, Hefei, China, in 2019. His research interest includes wireless networks.
Qingliang Miao received the B.E. degree in network engineering from the China University of Mining and Technology, Xuzhou, China, in 2016, and the M.E. degree in computer science and technology from the University of Science and Technology of China, Hefei, China, in 2019. His research interest includes wireless networks.View more
