It is an irreversible trend to build a green and sustainable vehicular network facing with the dramatic increase in urban traffic. Reducing energy consumption has been an important aspect for green transportation. Reconfigurable intelligent surface (RIS) is considered as a promising technology to enhance the communication quality with higher energy efficiency. In this paper, we focus on the RIS-assisted vehicular networks. We obtain the closed-form analytical expressions for outage probability, ergodic achievable rate and average energy efficiency. A series of insights are further explored. Based on these, we discuss the performance under high SNR case, as well as, weak interference case. And then, the approximations in simpler form expressions are provided for each case, respectively. Outage diversity order and high SNR rate slope are also investigated. In addition, we propose a power allocation algorithm to maximize the ergodic achievable sum rate guaranteeing the outage probability and average energy efficiency. Numerical results show that our analytical results agree well with the Monte Carlo simulations in various network configurations. Besides, our proposed power allocation scheme significantly enhances the ergodic achievable sum rate compared with the equal power strategy.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    An Efficient Power Allocation Algorithm for Green Reconfigurable Intelligent Surface Assisted Vehicular Network


    Contributors:
    Liu, Yaxuan (author) / Ni, Yiyang (author) / Zhao, Haitao (author) / Zhang, Hui (author) / Zhu, Hongbo (author) / Cao, Haotong (author) / Yu, Keping (author)

    Published in:

    Publication date :

    2022-12-01


    Size :

    2733200 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Channel Modeling and Analysis of Reconfigurable Intelligent Surfaces Assisted Vehicular Networks

    Kong, L. (Long) / He, J. (Jiguang) / Ai, Y. (Yun) et al. | BASE | 2021

    Free access

    Reconfigurable Intelligent Surface Assisted Railway Communications: A survey

    Habib, Aline / Falou, Ammar El / Langlais, Charlotte et al. | IEEE | 2023


    Reconfigurable Intelligent Surface (RIS)-Assisted UAV Cellular Communication

    Ihsana Muhammed, P. / Moidutty, Yasar / Sreenarayanan, N. M. et al. | Springer Verlag | 2022



    Unmanned Aerial Vehicle-Assisted Reconfigurable Intelligent Surface for Energy Efficient and Reliable Communication

    Kumaravelu, Vinoth Babu / Jadhav, Hindavi Kishor / B. S., Anjana et al. | Springer Verlag | 2022