Modern wireless communication systems rely heavily on multiple antennas and their
corresponding signal processing to achieve optimal performance. As 5G and 6G networks …

Energy efficiency is considered the prominent metric in data communication systems and
has a greater impact on designing Millimetre-wave (mm-wave) multiple input multiple output …

Modern day millimeter wave communication systems prefer hybrid precoding architecture
over digital architecture due to higher energy efficiency, lower power consumption and …

The surge in the volume of vehicles on the roads has led to a significant increase in traffic
issues. The current transportation and parking facilities are inadequate to handle this rise …

Reconfigurable Intelligent Surfaces (RIS) have emerged as a promising technology for
improving the reliability of massive MIMO communication networks. However, conventional …

Cross-efficiency evaluation effectively distinguishes a set of decision-making units (DMUs)
via self-and peer-evaluations. In constant returns to scale, this evaluation technique is …

This paper makes several contributions to antenna selection techniques for massive multiple-
input multiple-output (mMIMO) systems using artificial neural networks. First, binary cross …

Nowadays the communication of massive multi-user multiple-input multiple-output (MU-
MIMO) takes an important role in wireless systems, as they facilitate the ultra-reliable …

Massive multiple-input multiple-output (mMIMO) communication systems and the use of
millimeter-wave (mm-Wave) bands represent key technologies that are expected to meet the …

In this research, we propose an advanced hybrid precoding design for massive MIMO
systems. Our approach integrates two innovative strategies: employing low-resolution ADCs …