Machine learning (ML) which is a subset of artificial intelligence is expected to unlock the
potential of challenging large-scale problems in conventional massive multiple-input …

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 …

Cell-free massive MIMO (CF-mMIMO) systems represent a promising approach to increase
the spectral efficiency of wireless communication systems. However, near-optimal …

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) and antenna selection are promising techniques for improving
the energy efficiency (EE) of massive multiple-input multiple-output (mMIMO) systems …

A fine power control policy and beam alignment is required between the base station (BS)
and user equipment (UE) to achieve the promising performance of massive multiple input …

Wireless networking is approaching a new era, which necessitates new frequency ranges
and novel strategies. With recent circuit growth, communications over the Terahertz (THz) …

Hybrid beamforming has gained popularity in recent years due to its ability to enhance the
performance of massive multiple-input multiple-output (massive MIMO) systems and improve …

Hybrid beamforming (HBF) and antenna selection are promising techniques for improving
the energy efficiency~(EE) of massive multiple-input multiple-output~(mMIMO) systems …

With the development of 5G networks and advanced communication technologies,
connected vehicles (CV) are becoming an increasingly important aspect of the future of …