Multi-Agent Reinforcement Learning in NOMA-Aided UAV Networks for Cellular Offloading
IEEE Transactions on Wireless Communications(2022)
摘要
A novel framework is proposed for cellular offloading with the aid of multiple unmanned aerial vehicles (UAVs), while non-orthogonal multiple access (NOMA) technique is employed at each UAV to further improve the spectrum efficiency of the wireless network. The optimization problem of joint three-dimensional (3D) trajectory design and power allocation is formulated for maximizing the throughput. S...
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关键词
Trajectory,NOMA,Resource management,Unmanned aerial vehicles,Heuristic algorithms,Cellular networks,Base stations
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