Abstract
Recently, antenna selection has attracted researchers’ attention world widely. It is a promising solution for the design of optimal multi-antenna systems. Many selection algorithms were proposed as solutions for the heavier selection scheme based on exhaustive search. In this paper, we propose an antenna selection algorithm that aims to make a trade-off between performance and complexity, it encompasses two phases: training as well as decision making and as an evaluation metric, it uses spectral efficiency. For new channel state realizations, the algorithm evaluates only the antenna combinations that mostly occurred during the training phase and its decisions are based on thresholds gotten from the aforementioned metric.
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Garrouani, Y., Mrabti, F., Alami Hassani, A. (2021). An Antenna Selection Algorithm for Massive MIMO Systems. In: Hajji, B., Mellit, A., Marco Tina, G., Rabhi, A., Launay, J., Naimi, S. (eds) Proceedings of the 2nd International Conference on Electronic Engineering and Renewable Energy Systems. ICEERE 2020. Lecture Notes in Electrical Engineering, vol 681. Springer, Singapore. https://doi.org/10.1007/978-981-15-6259-4_7
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DOI: https://doi.org/10.1007/978-981-15-6259-4_7
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