In the coming 6th generation (6G) and beyond in wireless communication, an increasing
number of ultrascale intelligent factors, including mobile robot users and smart cars, will …

The multiple-input-multiple-output-orthogonal frequency division multiplexing (MIMO-OFDM)
receiver aims to softly decode the transmitted information from the observed received signal …

Massive Multi-user Multiple Input Multiple Output (MU‒MIMO) system is aimed to improve
throughput and spectral efficiency in 5G communication networks. Interantenna Interference …

Neighborhood search algorithms have been proposed for low complexity detection in
large/massive multipleinput multiple-output systems. They iteratively search for the vector …

Massive multiuser multiple input multiple output (MU‐MIMO) system is aimed to improve
throughput and spectral efficiency through a large number of antennas incorporated at the …

In recent years, the deployment of massive multiuser multiple-input multiple-output (MU-
MIMO) systems with hundreds or even thousands of antennas at the enhanced-mobile …

In this paper, we have analyzed the performance-complexity tradeoff of a selective likelihood
ascent search (LAS) algorithm initialized by a linear detector, such as matched filtering (MF) …

The main aim of massive multiuser multiple-input multiple-output (MU-MIMO) system is to
improve the throughput and spectral efficiency in 5G wireless networks. The performance of …

Massive multiple‐input multiple‐output (M‐MIMO) is one of the cutting edge technologies
that provides significant improvement in throughput, coverage and spectral efficiency. The …

The family of local maximum likelihood (LML) detectors and the family of likelihood ascent
search (LAS) detectors are successfully applied to symbol detection in massive multi-input …