Specifically, the detection algorithms in this dissertation generate a list of potential transmission vectors resulting in realizable communication receivers ...
A new design for successive interference cancellation (SIC) detection for multiple-input multipleoutput systems is introduced, and it is developed on the ...
Missing: list | Show results with:list
It is well known that the maximum likelihood (ML) detection for multiple-input-multiple-output (MIMO) systems requires high computational complexity.
Nov 30, 2022 · A low-complexity Approximate Message Passing (AMP) detection algorithm with Deep Neural Network (DNN) (denoted as AMP-DNN) is investigated in this paper.
Mar 28, 2015 · A low-complexity multiple-input multiple-output (MIMO) subspace detection algorithm is proposed. It is based on decomposing a MIMO channel ...
Mar 24, 2020 · (SIC) detector was proposed for multiple input multi- ple output (MIMO) systems, and its computational complexity was compared with the ...
Missing: list | Show results with:list
In this study, we present efficient detection and precoding algorithms for massive multi-user multiple-input multiple-output wireless system.
Low-Complexity Iterative Detection Algorithms for Multi-Antenna Systems
etheses.whiterose.ac.uk › ...
Mar 12, 2012 · Multiple input multiple output (MIMO) techniques have been widely employed by different wireless systems with many advantages.
In this work, we propose a low-complexity soft-output signal detector for multiuser massive MIMO communication systems employing Gray-coded higher order QAM ...
The list detector is thus like a conventional hard-output detector, except that it produces a list of multiple alphabet symbols as its decision instead of just ...