Three-Dimensional Trajectory Design for Multi-User MISO UAV Communications: A Deep Reinforcement Learning Approach

In this paper, we investigate a multi-user downlink multiple-input single-output (MISO) unmanned aerial vehicle (UAV) communication system, where a multi-antenna UAV is employed to serve multiple ground terminals. Unlike existing approaches focus only on a simplified two-dimensional scenario, this p...

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Veröffentlicht in:	2021 IEEE/CIC International Conference on Communications in China (ICCC) S. 706 - 711
Hauptverfasser:	Wang, Yang, Gao, Zhen
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 28.07.2021
Schlagworte:	3D trajectory design deep reinforcement learning Downlink MISO communication Multi-antenna UAV Reinforcement learning Simulation Three-dimensional displays Throughput UAV communication systems Urban areas
Online-Zugang:	Volltext
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