An efficient approximate expectation propagation detector with block-diagonal neumann-series
Expectation propagation (EP) achieves near-optimal performance for large-scale multiple-
input multiple-output (L-MIMO) detection, however, at the expense of unaffordable matrix …
input multiple-output (L-MIMO) detection, however, at the expense of unaffordable matrix …
Enhancing Performance of Massive MU-MIMO System With LR-RTS: A Low-Complexity Detection Algorithm
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 …
MIMO) systems with hundreds or even thousands of antennas at the enhanced-mobile …
Correlated Channel-Oriented Expectation Propagation-Based Detector for Massive MIMO Systems
The expectation propagation (EP) algorithm is near-optimal in massive multiple-input
multiple-output (MIMO) systems but suffers from high computation complexity. Most of the …
multiple-output (MIMO) systems but suffers from high computation complexity. Most of the …
[HTML][HTML] Low-Complexity SAOR and Conjugate Gradient Accelerated SAOR Based Signal Detectors for Massive MIMO Systems
A major challenge for massive multiple-input multiple-output (MIMO) technology is designing
an efficient signal detector. The conventional linear minimum mean square error (MMSE) …
an efficient signal detector. The conventional linear minimum mean square error (MMSE) …
Efficient MMSE-PIC detection for polar-coded system using tree-structured gray codes
This letter proposes an iterative multiple-input multiple-output (MIMO) receiver for polar-
coded system using minimum mean-square error parallel interference cancellation (MMSE …
coded system using minimum mean-square error parallel interference cancellation (MMSE …
From Circuits to SoC Processors: Arithmetic Approximation Techniques & Embedded Computing Methodologies for DSP Acceleration
V Leon - arxiv preprint arxiv:2302.12194, 2023 - arxiv.org
The computing industry is forced to find alternative design approaches and computing
platforms to sustain increased power efficiency, while providing sufficient performance …
platforms to sustain increased power efficiency, while providing sufficient performance …
A Low-Complexity Soft-Output Massive MIMO Detector With Near-Optimum Performance
In massive multiple-input multiple-output (MIMO) detection, the likelihood ascent search
(LAS) algorithm is well-known for its near-optimum performance and low complexity. It …
(LAS) algorithm is well-known for its near-optimum performance and low complexity. It …
Efficient Matrix Polynomial Expansion Detector for Large-Scale MIMO: An Inverse-Transform-Sampling Approach
Matrix polynomial expansion (MPE) based detector incurs either complicated computation of
polynomial coefficients or slow convergence in uplink large-scale multiple-input and multiple …
polynomial coefficients or slow convergence in uplink large-scale multiple-input and multiple …
Flexible High-Level Synthesis Library for Linear Transformations
W Zhao, C Li, Z Ji, Z Guo, X Chen, Y You… - … on Circuits and …, 2024 - ieeexplore.ieee.org
Despite decades pursuing efficient hardware design for signal processing based on linear
algebra, traditional hardware description languages (HDLs)-based design workflows remain …
algebra, traditional hardware description languages (HDLs)-based design workflows remain …
Low-complexity signal detection networks based on Gauss-Seidel iterative method for massive MIMO systems
H Yao, T Li, Y Song, W Ji, Y Liang, F Li - EURASIP Journal on Advances in …, 2022 - Springer
In massive multiple-input multiple-output (MIMO) systems with single-antenna user
equipment (SAUE) or multiple-antenna user equipment (MAUE), with the increase of the …
equipment (SAUE) or multiple-antenna user equipment (MAUE), with the increase of the …