Mobility Embedding-based Pairwise Beam Tracking in UAV Communication Systems
- Resource Type
- Academic Journal
- Authors
- Seokju Kim; Jeongjoon Lee; Chungyong Lee
- Source
- IEIE Transactions on Smart Processing & Computing. 2023-06 12(3):269-274
- Subject
- Beam tracking
Long short-term memory (LSTM)
Mobility embedding
Unmanned aerial vehicle (UAV)
- Language
- Korean
- ISSN
- 2287-5255
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 quasistatic random walk trajectory.