Accepted: 20 January 2020 The capability of Least square (LS) and least minimum mean
squared error (LMMSE) channel estimation techniques are limited due to one or two factors …

A high transmission rate can be obtained using Multi Input Multi Output (MIMO) Orthogonal
Frequency Division Multiplexing (OFDM) model. The most commonly used 3D-pilot aided …

The performance of Multi Input Multi Output-Orthogonal Frequency Division Multiplexing
system solely depends on the estimate of the channel. Least square (LS) and least minimum …

In order to resolve channel prediction in the multiple-input multiple-output orthogonal
frequency division multiple (MIMO-OFDM) system used in wireless communication, a novel …

The conventional strategies utilized for channel assessment don't exploit the multipath lack.
In MIMO-OFDM frameworks, channel assessment is critical for computing framework …

In this article, we describe and evaluate the performance of the particle swarm optimization
(PSO)-based maximum likelihood estimation (MLE), which will be used to estimate the …

In wireless communication, multiple input multiple output-orthogonal frequency division
multiplexing (MIMO–OFDM) plays a major role because of its high transmission rate …

Channel estimation is one of the most important parts in three‐dimensional multiple‐input
multiple‐output (3D MIMO) systems. The characteristics of non‐line‐of‐sight (NLOS) …

Evolutionary algorithms, in particular particle swarm optimization (PSO), have recently
received much attention. PSO has successfully been applied to a wide range of technical …

Multiple input multiple output (MIMO) is a very important and prominent key technology in
wireless system which is extensively used in 4G systems. However, accurate channel …