Hybrid beamforming can provide rapid data transmission rates while reducing the
complexity and cost of massive multiple-input multiple-output (MIMO) systems. However …

Hybrid beamforming is integral to massive multiple-input multiple-output (MIMO)
communications in reducing the training overhead and hardware cost associated with large …

Recently, in a massive multiple-input multipleoutput (MIMO) system, deep learning (DL)-
based beamforming method has been proposed for reducing the overhead associated with …

Hybrid beamforming is a promising technique to reduce the complexity and cost of massive
multiple-input multiple-output (MIMO) systems while providing high data rate. However, the …

In this paper, we propose a novel deep unsupervised learning-based approach that jointly
optimizes antenna selection and hybrid beamforming to improve the hardware and spectral …

This letter studies deep learning (DL) approaches to optimize beamforming vectors in
downlink multi-user multi-antenna systems that can be universally applied to arbitrarily given …

Hybrid beamformer design plays very crucial role in the next generation millimeter-wave
(mm-Wave) massive MIMO (multiple-input multiple-output) systems. Previous works assume …

Hybrid beamforming is a promising technology to improve the energy efficiency of massive
MIMO systems. In particular, subarray hybrid beamforming can further decrease power …

Hybrid beamforming (HBF) is a promising approach to obtain a better balance between
hardware complexity and system performance in massive MIMO communication systems …

Conventional hybrid beamforming (BF) techniques encounter high computational complexity
(CC) and performance loss due to array steering vector mismatches. Therefore, in this letter …