• DOI:10.1109/ICC40277.2020.9149321
Corpus ID: 212717776

RSSI-Based Hybrid Beamforming Design with Deep Learning

@article{Hojatian2020RSSIBasedHB,
  title={RSSI-Based Hybrid Beamforming Design with Deep Learning},
  author={Hamed Hojatian and V. N. Ha and J{\'e}r{\'e}my Nadal and J. Frigon and François Leduc-Primeau},
  journal={ICC 2020 - 2020 IEEE International Conference on Communications (ICC)},
  year={2020},
  pages={1-6}
}

Hamed Hojatian, V. N. Ha, +2 authors François Leduc-Primeau

Published 2020

Computer Science, Engineering, Mathematics

ICC 2020 - 2020 IEEE International Conference on Communications (ICC)

Hybrid beamforming is a promising technology for 5G millimetre-wave communications. However, its implementation is challenging in practical multiple-input multiple-output (MIMO) systems because non-convex optimization problems have to be solved, introducing additional latency and energy consumption. In addition, the channel-state information (CSI) must be either estimated from pilot signals or fed back through dedicated channels, introducing a large signaling overhead. In this paper, a hybrid… CONTINUE READING

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