The increasing wireless data traffic demands have driven the need to explore suitable
spectrum regions for meeting the projected requirements. In the light of this, millimeter wave …

Channel estimation is a crucial problem for massive multiple input multiple output (MIMO)
systems to achieve the expected benefits in terms of spectrum and energy efficiencies …

In this paper, a cost-effective and high-accuracy precoding technique based on-Fuzzy
pareto active learning (FPAL) is proposed for millimeter wave (mmWave) massive MIMO …

This paper focuses on a deep learning (DL) framework for the Sub-6G aided millimeter-
wave (mmWave) communication system, aiming to reduce the overhead of mmWave …

Massive multiple-input multiple-output (MIMO) theoretical performance results have attracted
the attention of the community due to the possibility of increasing the spectral efficiency in …

This paper introduces a novel blind iterative projections algorithm to address challenges
associated with codebook-based beamforming in 5G and beyond systems. In contrast to …

Hybrid beamforming (HBF) is a potential solution to reduce the baseband hardware cost in
massive multiple-input multiple-output (MIMO) systems that has drawn considerable …

The use of massive multiple input multiple output (MIMO) has been considered as a key
enabler to achieve the 5G requirements [1]. With the large array of antennas, the …