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Communications and Networking. 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 – December 1, 2019, Proceedings, Part I

Research Article

Personalized QoS Improvement in User-Centered Heterogeneous V2X Communication Networks

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  • @INPROCEEDINGS{10.1007/978-3-030-41114-5_46,
        author={Mo Zhou and Chuan Xu and Guofeng Zhao and Syed Mushhad Mustuzhar Gilani},
        title={Personalized QoS Improvement in User-Centered Heterogeneous V2X Communication Networks},
        proceedings={Communications and Networking. 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 -- December 1, 2019, Proceedings, Part I},
        proceedings_a={CHINACOM},
        year={2020},
        month={2},
        keywords={Cellular V2X VANET Joint optimization},
        doi={10.1007/978-3-030-41114-5_46}
    }
    
  • Mo Zhou
    Chuan Xu
    Guofeng Zhao
    Syed Mushhad Mustuzhar Gilani
    Year: 2020
    Personalized QoS Improvement in User-Centered Heterogeneous V2X Communication Networks
    CHINACOM
    Springer
    DOI: 10.1007/978-3-030-41114-5_46
Mo Zhou1, Chuan Xu1,*, Guofeng Zhao1, Syed Mushhad Mustuzhar Gilani2
  • 1: School of Communication and Information Engineering
  • 2: Institute of Information Technology
*Contact email: xuchuan@cqupt.edu.cn

Abstract

With the rapid increasing personalized demand of C-V2X (cellular V2X) and vehicular ad hoc networks (VANET), the hybrid application of the two vehicular communications on unlicensed spectrum is becoming a trend. However, due to channel conflicts, the coexistence issue will lead to a serious drop in QoS of vehicular users. It is a challenge to allocate the wireless resource to ensure comprehensive user experience. In this paper, in order to satisfy the personalized QoS of different users while guarantee fair coexistence, we propose a conflict mitigation scheme through user association and time allocation to jointly optimize the delay and throughput, then formulate the multi-objective optimization into a mixed integer nonlinear programming (MINLP). To solve the NP-hard problem and obtain the Pareto optimal solution efficiently, we propose a PSO-based joint optimization of delay-throughput algorithm (DT-PSO). Simulation results show that our scheme outperforms existing approaches.

Keywords
Cellular V2X VANET Joint optimization
Published
2020-02-27
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-41114-5_46
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