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.
An Efficient Power Allocation Algorithm for Green Reconfigurable Intelligent Surface Assisted Vehicular Network
IEEE Transactions on Intelligent Transportation Systems ; 23 , 12 ; 23736-23749
2022-12-01
2733200 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Channel Modeling and Analysis of Reconfigurable Intelligent Surfaces Assisted Vehicular Networks
BASE | 2021
|Reconfigurable Intelligent Surface (RIS)-Assisted UAV Cellular Communication
Springer Verlag | 2022
|