Energy-aware trajectory and resource management for NOMA-enabled MEC in UAV-based airborne maneuvering networks:A PPO-driven approachOA
Energy-aware trajectory and resource management for NOMA-enabled MEC in UAV-based airborne maneuvering networks:A PPO-driven approach
Xudong WANG;Lei FENG;Jiacheng WANG;Jiangtian NIE;Xiangwang HOU;Geng SUN
State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications,Beijing 100876,ChinaState Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications,Beijing 100876,ChinaCollege of Computing and Data Science,Nanyang Technological University,Singapore 639798 SingaporeCollege of Computing and Data Science,Nanyang Technological University,Singapore 639798 SingaporeDepartment of Electronic Engineering,Tsinghua University,Beijing 100084,ChinaCollege of Computer Science and Technology,Jilin University,Changchun 130012,China
Airborne maneuvering net-worksMobile edge computingNon-orthogonal multiple accessProximal policy optimiza-tionUnmanned aerial vehicle
Airborne maneuvering net-worksMobile edge computingNon-orthogonal multiple accessProximal policy optimiza-tionUnmanned aerial vehicle
《中国航空学报（英文版）》 2026 (5)
84-97,14
This work was supported by the National Natural Science Foundation of China(No.62571057),the Fundamental Research Funds for the Beijing University of Posts and Telecommunications(BUPT),China(No.2025TSQY03),and the BUPT Excellent Ph.D.Students Foundation,China(No.CX20253001).
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