基于深度强化学习的ris辅助V2V中继系统AoI最小化

IF 8.9 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Xiaolin Liang;Qianlong Liu;Wangbin Cao;Shuaiqi Liu;Xiongwen Zhao
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引用次数: 0

摘要

通过利用可重构智能表面(RIS)的固有能力来增强无线通信通道,将RIS集成到支持同步无线信息和电力传输(SWIPT)的车对车(V2V)系统中,提供了一种有前途的解决方案,可以共同提高通信性能和能量收集效率。基于这一潜力,构建了RIS辅助的V2V双跳中继系统,该系统将RIS部署在中继车辆用户设备(VUE)的闸上,实现了从源到中继VUE的有效信号折射。为了解决此类ris辅助系统中信息新鲜度的关键挑战,采用了信息时代(AoI)作为关键指标。提出了综合考虑能量/数据缓冲区容量限制、中继可持续性和实时数据包新鲜度的AoI优化问题。为了有效解决动态车辆条件下的这一优化问题,提出了一种基于深度强化学习(DRL)的优先体验重播-决斗双深度Q网络(PER-D3QN)方案,对AoI最小化进行最优中继决策。数值结果表明,PER-D3QN方案的平均AoI比现有方案降低了20%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AoI Minimization for RIS-Assisted V2V Relay System With Deep Reinforcement Learning
By leveraging the inherent ability of reconfigurable intelligence surface (RIS) to enhance wireless communication channels, the integration of RIS into simultaneous wireless information and power transfer (SWIPT)-enabled vehicle-to-vehicle (V2V) systems presents a promising solution to jointly enhance communication performance and energy harvesting efficiency. Building on this potential, an RIS-assisted V2V dual-hop relay system is constructed, which deploys RIS on the gate of relay vehicle user equipment (VUE), enabling efficient signal refraction from source to relay VUEs. To address the critical challenge of information freshness in such RIS-assisted systems, Age of Information (AoI) is adopted as the key metric. And the AoI optimization problem is formulated that jointly considers energy/data buffer capacity limitations, relay sustainability, and real-time packet freshness. To effectively resolve this optimization problem under dynamic vehicular conditions, a prioritized experience replay-dueling double deep Q network (PER-D3QN) scheme based on deep reinforcement learning (DRL) is proposed to make the optimal relay decision for AoI minimization. Numerical results demonstrate that the average AoI using the proposed PER-D3QN scheme is reduced by 20% compared with the existing schemes.
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来源期刊
IEEE Internet of Things Journal
IEEE Internet of Things Journal Computer Science-Information Systems
CiteScore
17.60
自引率
13.20%
发文量
1982
期刊介绍: The EEE Internet of Things (IoT) Journal publishes articles and review articles covering various aspects of IoT, including IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Topics encompass IoT's impacts on sensor technologies, big data management, and future internet design for applications like smart cities and smart homes. Fields of interest include IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.
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