| Title |
Mobility Embedding-based Pairwise Beam Tracking in UAV Communication Systems |
| Authors |
(Seokju Kim) ; (Jeongjoon Lee) ; (Chungyong Lee) |
| DOI |
https://doi.org/10.5573/IEIESPC.2023.12.3.269 |
| Keywords |
Beam tracking; Long short-term memory (LSTM); Mobility embedding; Unmanned aerial vehicle (UAV) |
| Abstract |
We propose a pairwise beam tracking scheme for an air-to-ground (A2G) communication system where an unmanned aerial vehicle (UAV) and a ground base station (GBS) communicate with each other. We designed a long short-term memory (LSTM)-based mobility network (MoNet) to extract the mobility embedding from the received signal samples.. EEach communication node determines the beamforming vectors with high-performance beam alignment. Simulation results show that the proposed MoNet outperforms conventional schemes in terms of normalized beamforming gain and communication rate while communicating with aa UAV flying in a quasi-static random walk trajectory. |