The advent of sixth-generation(6G)networks introduces unprecedented challenges in achieving seamless connectivity,ultra-low latency,and efficient resource management in highly dynamic environments.Although fifth-gener...The advent of sixth-generation(6G)networks introduces unprecedented challenges in achieving seamless connectivity,ultra-low latency,and efficient resource management in highly dynamic environments.Although fifth-generation(5G)networks transformed mobile broadband and machine-type communications at massive scales,their properties of scaling,interference management,and latency remain a limitation in dense high mobility settings.To overcome these limitations,artificial intelligence(AI)and unmanned aerial vehicles(UAVs)have emerged as potential solutions to develop versatile,dynamic,and energy-efficient communication systems.The study proposes an AI-based UAV architecture that utilizes cooperative reinforcement learning(CoRL)to manage an autonomous network.The UAVs collaborate by sharing local observations and real-time state exchanges to optimize user connectivity,movement directions,allocate power,and resource distribution.Unlike conventional centralized or autonomous methods,CoRL involves joint state sharing and conflict-sensitive reward shaping,which ensures fair coverage,less interference,and enhanced adaptability in a dynamic urban environment.Simulations conducted in smart city scenarios with 10 UAVs and 50 ground users demonstrate that the proposed CoRL-based UAV system increases user coverage by up to 10%,achieves convergence 40%faster,and reduces latency and energy consumption by 30%compared with centralized and decentralized baselines.Furthermore,the distributed nature of the algorithm ensures scalability and flexibility,making it well-suited for future large-scale 6G deployments.The results highlighted that AI-enabled UAV systems enhance connectivity,support ultra-reliable low-latency communications(URLLC),and improve 6G network efficiency.Future work will extend the framework with adaptive modulation,beamforming-aware positioning,and real-world testbed deployment.展开更多
随着智能电网的快速发展与物联网终端设备的规模化应用部署,互联网协议第6版(Internet Protocol Version 6,IPv6)技术依托其丰富的地址资源和安全特性,已成为网络架构的关键支撑,IPv6地址的管理和日志审计对保障电网安全稳定运行至关重...随着智能电网的快速发展与物联网终端设备的规模化应用部署,互联网协议第6版(Internet Protocol Version 6,IPv6)技术依托其丰富的地址资源和安全特性,已成为网络架构的关键支撑,IPv6地址的管理和日志审计对保障电网安全稳定运行至关重要。系统探讨了智能电网中物联网设备IPv6地址相关技术原理,深入分析了IPv6地址日志审计技术在智能电网中的应用难点与挑战,提出一种IPv6地址日志审计的简易优化方案,并通过实际案例进行分析和可行性验证,为智能电网中的实际应用提供理论依据和实践指导,对推动智能电网网络安全建设具有重要意义。展开更多
基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(RS-2025-00559546)supported by the IITP(Institute of Information&Coummunications Technology Planning&Evaluation)-ITRC(Information Technology Research Center)grant funded by the Korea government(Ministry of Science and ICT)(IITP-2025-RS-2023-00259004).
文摘The advent of sixth-generation(6G)networks introduces unprecedented challenges in achieving seamless connectivity,ultra-low latency,and efficient resource management in highly dynamic environments.Although fifth-generation(5G)networks transformed mobile broadband and machine-type communications at massive scales,their properties of scaling,interference management,and latency remain a limitation in dense high mobility settings.To overcome these limitations,artificial intelligence(AI)and unmanned aerial vehicles(UAVs)have emerged as potential solutions to develop versatile,dynamic,and energy-efficient communication systems.The study proposes an AI-based UAV architecture that utilizes cooperative reinforcement learning(CoRL)to manage an autonomous network.The UAVs collaborate by sharing local observations and real-time state exchanges to optimize user connectivity,movement directions,allocate power,and resource distribution.Unlike conventional centralized or autonomous methods,CoRL involves joint state sharing and conflict-sensitive reward shaping,which ensures fair coverage,less interference,and enhanced adaptability in a dynamic urban environment.Simulations conducted in smart city scenarios with 10 UAVs and 50 ground users demonstrate that the proposed CoRL-based UAV system increases user coverage by up to 10%,achieves convergence 40%faster,and reduces latency and energy consumption by 30%compared with centralized and decentralized baselines.Furthermore,the distributed nature of the algorithm ensures scalability and flexibility,making it well-suited for future large-scale 6G deployments.The results highlighted that AI-enabled UAV systems enhance connectivity,support ultra-reliable low-latency communications(URLLC),and improve 6G network efficiency.Future work will extend the framework with adaptive modulation,beamforming-aware positioning,and real-world testbed deployment.
文摘随着智能电网的快速发展与物联网终端设备的规模化应用部署,互联网协议第6版(Internet Protocol Version 6,IPv6)技术依托其丰富的地址资源和安全特性,已成为网络架构的关键支撑,IPv6地址的管理和日志审计对保障电网安全稳定运行至关重要。系统探讨了智能电网中物联网设备IPv6地址相关技术原理,深入分析了IPv6地址日志审计技术在智能电网中的应用难点与挑战,提出一种IPv6地址日志审计的简易优化方案,并通过实际案例进行分析和可行性验证,为智能电网中的实际应用提供理论依据和实践指导,对推动智能电网网络安全建设具有重要意义。
