计算机工程2024，Vol.50Issue(10)：281-290,10.DOI:10.19678/j.issn.1000-3428.0068319
基于A3C的认知物联网通信干扰消除算法
A3C-Based Interference Cancellation Algorithm for Cognitive Internet of Things Communication
摘要
Abstract
To address the intelligent needs of spectrum resource interference management,in this study,an Asynchronous Advantage Actor-Critic(A3C)-based intelligent interference elimination algorithm is proposed to tackle the interference problem caused by spectrum resource sharing in a Cognitive Internet of Things(CIoT)communication system.Through learning and optimization of the agent,the algorithm helps Secondary Users(SU)make optimal decisions when affected by interference,thereby improving communication quality and system performance.When the communication quality of the SU is affected by interference,the learning and optimization of the agent enables the SU to choose the action with the lowest interference degree according to the current position information,transmit power,and receive power and interference degree,whereby a reward is offered after performing the action.Intelligent agents attempt different actions to reduce interference and adjust their strategies based on the reward feedback,thereby maximizing the reward function by considering the interference level and signal quality indicators and minimizing the impact of interference on communication quality.The simulation results show that compared with the traditional k-means,Deep Recurrent Q-Network(DRQN),and Deep Q-Network(DQN)optimization algorithms,the A3C-based interference cancellation algorithm has a shorter convergence time,higher execution efficiency,and at least 7％higher throughput performance than the three benchmark methods.This demonstrates that the proposed algorithm can effectively reduce the adverse effects of interference on communication quality.关键词
认知物联网/干扰消除/异步优势行动者-评论家算法/干扰程度/信号质量/吞吐量Key words
Cognitive Internet of Things(CIoT)/interference cancellation/Asynchronous Advantage Actor-Critic(A3C)algorithm/interference level/signal quality/throughput分类
信息技术与安全科学引用本文复制引用
刘新梦,谢健骊,李翠然,王亦鸣..基于A3C的认知物联网通信干扰消除算法[J].计算机工程,2024,50(10):281-290,10.基金项目
国家自然科学基金(62161016) （62161016）
甘肃省科技计划基金(20JR10RA273) （20JR10RA273）
北京市高速铁路宽带移动通信工程技术研究中心(北京交通大学)开放课题基金资助(BHRC-2022-1). （北京交通大学）
