可重构智能反射面辅助的车联网资源分配算法研究

Research on IoV resource allocation algorithm assisted by reconfigurable intelligent surface

面对车辆通信对通信质量和频谱效率的更高要求,提出了一种可重构智能反射面(RIS)辅助的车联网资源分配算法。联合考虑RIS反射系数矩阵、功率分配和频谱共享方案,在确保V2V链路的可靠性条件下,建立一个V2I链路总容量最大化问题。由于该问题是一个变量之间高度耦合的非凸优化问题,难以直接求解。因此,在引入解析表达式近似V2V链路的中断概率后,利用块坐标下降(BCD)法将此问题分解为3个子问题,并通过引入辅助变量、逐次凸逼近(SCA)、匈牙利算法等对子问题进行求解,进而得到问题的近似次优解。仿真结果表明,所提算法具有良好的收敛性能,并能够有效地提高V2I链路总容量。

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.