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车联网的通信与计算受限于窄带宽和大延迟。可重构智能表面(Reconfigurable Intelligent Surface, RIS)辅助的空地车联网协同通信与计算通过部署RIS和无人机(Unmanned Aerial Vehicle, UAV),提供了高速率、低功耗的通信与计算范式。通过引入新的性能指标——有效能效，定义为系统单位能耗下的可达速率，以捕捉协同通信计算增益与成本之间的权衡。提出了一个优化问题，旨在通过合理分配通信和计算资源以最大化能效，其通过子问题解耦和块坐标下降自适应优化算法求解。结果表明，所提的自适应优化方案相比于随机相移配置方案的能效提升达到79%。
Abstract：Vehicle-to-everything communication and computation are hindered by narrow bandwidth and high latency.Reconfigurable Intelligent Surface(RIS)-aided aerial-ground vehicle-to-everything integrated communication and computation offers a high-rate, low-energy communication and computation paradigm by deploying RIS and Unmanned Aerial Vehicle(UAV).A new performance metric, namely effective energy efficiency, which is defined as the system's achievable rates per unit energy consumption, is introduced to capture the trade-off between the gains and costs of integrated communication and computation.An optimization problem for maximizing energy efficiency by rational allocation of communication and computation resources is proposed, which is decomposed into sub-problems, and solved by an adaptive optimization algorithm based on block coordinate descent.Numerical results demonstrate that the proposed adaptive optimization scheme can improve energy efficiency by up to 79% compared to the random phase shift configuration scheme.
[1] SEHLA K,NGUYEN T M T,PUJOLLE G,et al.Resource Allocation Modes in C-V2X:From LTE-V2X to 5G-V2X[J].IEEE Internet of Things Journal,2022,9(11):8291-8314.
[2] 彭宏玉，张小松，徐乐西，等.面向6G可编程车联网的无线路由算法[J/OL].无线电通信技术：1-15(2025-12-29)[2026-01-06].https://link.cnki.net/urlid/13.1099.TN.20251229.0853.002.
[3] 徐明星，王坤俊，刘洋，等.智慧城市基础设施与智能网联汽车协同发展现状及展望[J].清华大学学报(自然科学版),2025,65(12):2464-2492.
[4] HE Y K,WU B F,DONG Z,et al.Towards C-V2X Enabled Collaborative Autonomous Driving [J].IEEE Transactions on Vehicular Technology,2023,72(12):15450-15462.
[5] DUAN X T,ZHOU Y K,TIAN D X,et al.Weighted Energy-efficiency Maximization for a UAV-assisted Multiplatoon Mobile-edge Computing System [J].IEEE Internet of Things Journal,2022,9(19):18208-18220.
[6] CAO X Y,WANG S B,REN X L.IRS-enhanced V2X Communication and Computation Systems:Resource Allocation and Performance Optimization [J].IEEE Internet of Things Journal,2025,12(7):9180-9194.
[7] CAO X Y,WANG S B,WU X L.Resource Management for Differentiated Computation Capability in IRS-aided Wireless Powered Mobile Edge Computing Systems [J].IEEE Transactions on Vehicular Technology,2025,74(1):641-656.
[8] 丁伟豪，屈正浩，申凌峰，等.基于RIS辅助的UAV物理层安全传输技术[J].无线电工程，2025,55(10):1976-1985.
[9] LIU Y W,LIU X,MU X D,et al.Reconfigurable Intelligent Surfaces:Principles and Opportunities[J].IEEE Communications Surveys & Tutorials,2021,23(3):1546-1577.
[10] CUI J,CAO X Y,WANG S B,et al.Hybrid-RIS-aided Vehicular Wireless Sensing and Communication:Transmission Protocol and Performance Enhancement [J].IEEE Transactions on Vehicular Technology,2025,74(7):11010-11024.
[11] 苏宇华.智能超表面辅助的无人机空地无线通信技术研究[D].大连：大连理工大学，2023.
[12] 梅耀文.智能超表面增强的空地融合网络无线通信技术研究[D].北京：北京邮电大学，2025.
[13] 郑凌霄，唐欣，曹先彬，等.面向场景化AI的空地一体信息网能力架构与关键技术[J/OL].无线电通信技术：1-10(2025-12-29)[2026-01-06].https://link.cnki.net/urlid/13.1099.TN.20251225.1739.014.
[14] 王正强，商鸿赫，万晓榆，等.无人机辅助的通感算一体化系统资源分配研究综述[J].无线电工程，2025,55(10):1965-1975.
[15] DENG C L,FANG X M,WANG X B.Integrated Sensing,Communication,and Computation with Adaptive DNN Splitting in Multi-UAV Networks [J].IEEE Transactions on Wireless Communications,2024,23(11):17429-17445.
[16] FENG W Y,LIN S Y,ZHANG N,et al.Joint C-V2X Based Offloading and Resource Allocation in Multi-tier Vehicular Edge Computing System [J].IEEE Journal on Selected Areas in Communications,2023,41(2):432-445.
[17] RAZA S,WANG S G,AHMED M,et al.Task Offloading and Resource Allocation for IoV Using 5G NR-V2X Communication [J].IEEE Internet of Things Journal,2022,9(13):10397-10410.
[18] XU Y,ZHANG T K,LIU Y W,et al.Computation Capacity Enhancement by Joint UAV and RIS Design in IoT [J].IEEE Internet of Things Journal,2022,9(20):20590-20603.
[19] LIU Y,ZHOU J S,TIAN D X,et al.Joint Communication and Computation Resource Scheduling of a UAV-assisted Mobile Edge Computing System for Platooning Vehicles [J].IEEE Transactions on Intelligent Transportation Systems,2022,23(7):8435-8450.
[20] XIA Y,ZHANG H X,ZHOU X T,et al.Location-aware and Delay-minimizing Task Offloading in Vehicular Edge Computing Networks [J].IEEE Transactions on Vehicular Technology,2023,72(12):16266-16279.
基本信息:
中图分类号:TN929.5;U495
引用信息:
[1]崔俊,曹雪妍,王树彬.RIS辅助空地车联网协同通信与计算[J].无线电工程,2026,56(04):565-573.
基金信息:
国家自然科学基金(62361048,62401299); 内蒙古自治区自然科学基金(2024QN06003)~~
2026-02-02
2026-02-02
2026-02-02