Abstract:
Vehicular Edge Computing (VEC) is becoming popular due to the high offloading demand of computation-intensive vehicular network applications. Although the mobility of veh...Show MoreMetadata
Abstract:
Vehicular Edge Computing (VEC) is becoming popular due to the high offloading demand of computation-intensive vehicular network applications. Although the mobility of vehicles poses great challenges to the computation offloading as the fast time-varying fading channel, the moving vehicles can be served as mobile relays to achieve opportunistic transmission for improving offloading efficiency. In this paper, a scalable modulation (S-Mod) based task offloading (SMO) strategy is proposed, in which the vehicles can be selected as mobile relay to implement cooperative transmission based on S-Mod scheme. To reduce the energy consumption of vehicles, the energy consumption minimization offloading decision problem with delay and transmission quality requirement constraints is formulated. A hybrid offloading algorithm with S-Mod scheme design and relay selection is proposed. Our simulation results show that the proposed SMO strategy can outperform the existing strategy up to by 72.68% on energy consumption and 14.15% on execution time.
Date of Conference: 18 November 2020 - 16 December 2020
Date Added to IEEE Xplore: 15 February 2021
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School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China
Department of Electrical and Computer Engineering, University of Windsor, Windsor, On, Canada
China United Network Communications Corporation Limited, Beijing, China
School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China
School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China
School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China
Contents School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China
Department of Electrical and Computer Engineering, University of Windsor, Windsor, On, Canada
China United Network Communications Corporation Limited, Beijing, China
School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China
School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China
School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China
