Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning

IEEE Transactions on Wireless Communications(2021)

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摘要
Cellular-connected unmanned aerial vehicle (UAV) is a promising technology to unlock the full potential of UAVs in the future by reusing the cellular base stations (BSs) to enable their air-ground communications. However, how to achieve ubiquitous three-dimensional (3D) communication coverage for the UAVs in the sky is a new challenge. In this paper, we tackle this challenge by a new coverage-awar...
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关键词
Trajectory,Unmanned aerial vehicles,Radio navigation,Channel models,Cellular networks,Antenna measurements,Reinforcement learning
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