Due to the high spectrum utilization of Nonorthogonal Multiple Access (NOMA), it becomes one of the potential candidate technologies for future wireless communication systems. Meanwhile, in New Radio, Vehicle to Everything (V2X) has been proposed as a promising issue in the 3^rd Generation Partnership Project (3GPP). This paper studies the resource allocation mechanism with power control strategy which makes full use of vehicles’ moving characteristics in the NOMA-based Vehicle to Vehicle (V2V) communication system. Firstly, vehicles are grouped according to their moving characteristics by spectral clustering. Then, vehicles which are in the same group are allocated the same wireless resource with NOMA strategy. Two grouping methods have been designed for freeway and urban scenarios separately. After that, the transmission power of vehicles is adjusted based on the result of power control strategy utilizing Q-learning. The simulation results show that the performance of the V2V system in terms of Packet Received Ratio (PRR) can be evidently improved by the proposed joint NOMA resource allocation and power control mechanism compared to typical energy sensing-based resource allocation method.

中文翻译：

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基于NOMA的V2V系统中基于车辆运动特性的联合资源分配和功率控制

由于非正交多址（NOMA）的高频谱利用率，它成为未来无线通信系统的潜在候选技术之一。同时，在新的收音机，车辆的一切（V2X）已被提议作为在3前途问题^RD世代合作伙伴计划（3GPP）。本文研究了基于功率控制策略的资源分配机制，该机制在基于NOMA的车辆对车辆（V2V）通信系统中充分利用了车辆的行驶特性。首先，通过频谱聚类根据车辆的行驶特性对车辆进行分组。然后，使用NOMA策略为同一组中的车辆分配相同的无线资源。针对高速公路和城市场景分别设计了两种分组方法。之后，基于利用Q学习的功率控制策略的结果来调整车辆的传输功率。