RSSI-Based Hybrid Beamforming Design with Deep Learning

  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)},
  • 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
    1 Citations
    Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming
    • 1
    • PDF


    A Deep Learning Framework for Optimization of MISO Downlink Beamforming
    • 40
    • PDF
    Deep Learning for Massive MIMO CSI Feedback
    • 216
    • PDF
    Deep-Learning-Based Millimeter-Wave Massive MIMO for Hybrid Precoding
    • 195
    • PDF
    Machine learning inspired energy-efficient hybrid precoding for mmWave massive MIMO systems
    • 74
    • PDF
    Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems
    • 715
    • PDF
    Channel estimation and precoder design for millimeter-wave communications: The sparse way
    • Philip Schniter, A. Sayeed
    • Mathematics, Computer Science
    • 2014 48th Asilomar Conference on Signals, Systems and Computers
    • 2014
    • 125
    • PDF
    Subchannel Allocation and Hybrid Precoding in Millimeter-Wave OFDMA Systems
    • 6
    Alternating Minimization Algorithms for Hybrid Precoding in Millimeter Wave MIMO Systems
    • 494
    • PDF
    Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems
    • 1,450
    • PDF
    Large-scale antenna systems with hybrid analog and digital beamforming for millimeter wave 5G
    • 754
    • PDF