A Joint Power and Bandwidth Allocation Method Based on Deep Reinforcement Learning for V2V Communications in 5G

作     者：Xin Hu Sujie Xu Libing Wang Yin Wang Zhijun Liu Lexi Xu You Li Weidong Wang Xin Hu;Sujie Xu;Libing Wang;Yin Wang;Zhijun Liu;Lexi Xu;You Li;Weidong Wang

作者机构：School of Electronic EngineeringBeijing University of Posts and TelecommunicationsBeijing 100876China China Unicom Research InstituteBeijing 100032China Department of Geomatics EngineeringUniversity of CalgaryAB T2N 1N4Canada 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2021年第18卷第7期

页      面：25-35页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 12[管理学] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0810[工学-信息与通信工程] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：5G V2V communication power allocation bandwidth allocation deep reinforcement learning 

摘      要：Vehicular communications have recently attracted great interest due to their potential to improve the intelligence of the transportation *** maintaining the high reliability and low latency in the vehicle-to-vehicle(V2V)links as well as large capacity in the vehicle-to-infrastructure(V2I)links,it is essential to flexibility allocate the radio resource to satisfy the different requirements in the V2V *** paper proposes a new radio resources allocation system for V2V communications based on the proximal strategy optimization *** this radio resources allocation framework,a vehicle or V2V link that is designed as an *** through interacting with the environment,it can learn the optimal policy based on the strategy gradient and make the decision to select the optimal sub-band and the transmitted power *** the proposed method can output continuous actions and multi-dimensional actions,it greatly reduces the implementation complexity of large-scale communication *** simulation results indicate that the allocation method proposed in this paper can meet the latency constraints and the requested capacity of V2V links under the premise of minimizing the interference to vehicle-to-infrastructure communications.