Journal on Communications ›› 2023, Vol. 44 ›› Issue (9): 70-78.doi: 10.11959/j.issn.1000-436x.2023145

• Papers • Previous Articles    

Research on IoV resource allocation algorithm assisted by reconfigurable intelligent surface

Fatang CHEN, Ruofan ZHANG   

  1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Revised:2023-04-04 Online:2023-09-01 Published:2023-09-01
  • Supported by:
    The Natural Science Foundation of Chongqing(cstc2021jcyj-msxmX0454)

Abstract:

In order to meet the higher requirements of vehicle communication quality and spectral efficiency, a IoV resource allocation algorithm assisted by reconfigurable intelligent surface (RIS) was proposed.The RIS reflection coefficient matrix, power allocation, and spectrum sharing schemes were combined to solve the problem of maximizing the total capacity of V2I link under the condition of ensuring the reliability of V2V link.As this problem was a non-convex optimization problem with highly coupled variables, it was difficult to solve it directly.Therefore, after introducing an analytic expression to approximate the interrupt probability of V2V link, the problem was decomposed into three sub-problems by using the block coordinate descent (BCD) method, and the sub-problems were solved by introducing auxiliary variables, successive convex approximation (SCA), Hungarian algorithm, etc., and then the approximate suboptimal solution of the problem was obtained.Simulation results show that the proposed algorithm has good convergence performance and can effectively improve the total capacity of V2I link.

Key words: IoV communication, reconfigurable intelligent surface, resource allocation, block coordinate descent

CLC Number: 

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