In this paper we study a Markov Chain Monte Carlo (MCMC) Gibbs sampler for solving the
integer least-squares problem. In digital communication the problem is equivalent to …

The goal of this lecture has been to provide an overview of approaches, in the
communications receiver context. Which method is the best in practice? This depends much …

This paper considers a low-complexity Gaussian message passing iterative detection
(GMPID) algorithm for a massive multiuser multiple-input multiple-output (MU-MIMO) system …

Multiple-input multiple-output (MIMO) and sparse code multiple access (SCMA) can be
combined to achieve higher spectrum efficiency and more access for users, which also …

The use of one-bit analog-to-digital converters (ADCs) at a receiver is a power-efficient
solution for future wireless systems operating with a large signal bandwidth and/or a …

Optimal symbol detection for multiple-input multiple-output (MIMO) systems is known to be
an NP-hard problem. Conventional heuristic algorithms are either too complex to be …

Abstract Massive-Multiple Inputs and Multiple Outputs (M− MIMO) will have a greater impact
in the advanced radio framework. It efficiently increases the capacity, spectral access, and …

In large multi-user multi-input multi-output systems, the computational cost and circuit scale
of base stations (BSs) are effectively reduced using two-stage signal processing consisting …

In this paper, we consider the application of belief propagation (BP) to achieve near-optimal
signal detection in large multiple-input multiple-output (MIMO) systems at low complexities …