NR-V2X中irs辅助加权和速率最大化半持久调度

Juncai Chen, Fan Wu, Ke Zhang, Xiaoyan Huang, S. Leng
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引用次数: 0

摘要

在NR-V2X模式2中,一个众所周知的问题是,在没有集中式协调器的情况下,由于两辆或多辆汽车通过分布式竞争选择相同的资源块(RB)进行传输,导致数据包碰撞。因此,如果车辆使用碰撞后的RB来发送安全信息,可能会导致严重的安全问题。本文提出了一种智能反射面辅助半持久调度(SPS)方案,利用智能反射面增强被选车辆的信号反射来解决RB冲突。为此,我们提出了一个加权和速率最大化模型来共同确定车辆选择和IRS反射控制。为了在竞争车辆之间取得效率和协调之间的平衡,我们提出了一种同时考虑无线资源占用和业务紧急程度的竞争车辆间传输速率权重评估方法。此外,我们开发了一种基于DDPG的联合冲突解决和IRS反射控制(JCRIRC)算法来逼近最优解。仿真结果验证了RB利用率的提高,同时考虑了无线资源占用和业务紧迫性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IRS-Assisted Weighted Sum-Rate Maximization Semi-persistent Scheduling in NR-V2X
A well-known issue in NR-V2X Mode 2 is the packet collision that results from two or more vehicles selecting the same resource block (RB) for transmission through distributed competition in the scenarios without a centralized coordinator. Consequently, it may lead to serious safety problems if the collided RB is used to send safety information by the vehicles. In this paper, we propose an intelligent reflecting surface (IRS)-assisted semi-persistent scheduling (SPS) scheme to resolve the RB conflicts by utilizing the IRS to enhance the signal reflection sent from the vehicle selected to occupy the RB. To this end, we propose a weighted sum-rate maximization model to jointly determine the vehicle selection and the IRS reflection control. In order to achieve a trade-off between the efficiency of RBs and the coordination of contending vehicles, we conceive an evaluation method to assess the transmission rate weights among the contending vehicles, which considering both wireless resource occupation and services urgency. In addition, we develop a joint conflict resolution and IRS reflection control(JCRIRC) algorithm based on DDPG to approximate the optimal solution. Simulation results verify the improvement of RB utilization and take wireless resource occupation and services urgency into account.
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