A Low-Complexity Reconfigurable Multi-Antenna Technique for Non-Terrestrial Networks

Multi-Antenna communication techniques are an efficient and relatively simple approach for the performance improvement of wireless systems. However, direct application multi-antenna to aerial system is not always feasible due constraints induced by platforms. Reconfigurable intelligent antenna technologies could provide solution these problems thus they considered as ideal candidates adaption in platforms that will be used 5G beyond networks. In this paper, a joint Tx-Rx beamforming with beam selection combining technique proposed improving supported electronically steerable arrays. The main idea scheme select, using SNR maximization criterion, pair patterns between each RF chain ground station platform, combine received SNRs under maximal ratio principle. Initially, analytical stochastic framework has been developed based on Markov model, which investigate statistics SNR. Then, implementation novel pattern adaptation presented, use Electronically Steerable Parasitic Array Radiators (ESPAR), properly designed Ground Station UAV links. addition, realistic simulator also proper channel model selection, aid which, evaluated conjunction extracted results.