Reconfigurable antennas (RAs) are a promising technology to enhance the capacity and coverage of wireless communication systems. However, RA systems have two major challenges: (i) High computational complexity of mode selection, and (ii) High overhead of channel estimation for all modes. In this paper, we develop a low-complexity iterative mode selection algorithm for data transmission in an RA-MIMO system. Furthermore, we study channel estimation of an RA multi-user MIMO system. However, given the coherence time, it is challenging to estimate channels of all modes. We propose a mode selection scheme to select a subset of modes, train channels for the selected subset, and predict channels for the remaining modes. In addition, we propose a prediction scheme based on pattern correlation between modes. Representative simulation results demonstrate the system's channel estimation error and achievable sum-rate for various selected modes and different signal-to-noise ratios (SNRs).
@article{arxiv.2211.13573,
title = {MIMO Systems with Reconfigurable Antennas: Joint Channel Estimation and Mode Selection},
author = {Fariba Armandoust and Ehsan Tohidi and Martin Kasparick and Li Wang and Ahmet Hasim Gokceoglu and Slawomir Stanczak},
journal= {arXiv preprint arXiv:2211.13573},
year = {2022}
}