This paper considers a belief propagation algorithm over pairwise graphical models to
develop low-complexity iterative multiple-input multiple-output (MIMO) detectors. The …

One of the challenges in the design of large-scale multiuser MIMO-OFDM systems is
developing low-complexity detection algorithms. To achieve this goal, we leverage message …

In this contribution, we present low-complexity detection algorithms in large-scale MIMO
systems where they achieve significantly better bit error rate (BER) performance than known …

The maximum likelihood (ML) detection for multiple-input multiple-output (MIMO) system
achieves the optimal performances at the cost of high computational complexities, while the …

In this paper, we introduce a randomized iterative method for signal detection in uplink large-
scale multiple-input multiple-output (MIMO) systems, which not only achieves a low …

In this paper, we explore low-complexity probabilistic algorithms for soft symbol detection in
high-dimensional multiple-input multiple-output (MIMO) systems. We present a novel …

The original message passing detection (MPD) algorithm, which exploits channel hardening
theory, achieves very good performance in large-scale multi-input multi-output (MIMO) …

The tree representation of the multiple-input multiple-output (MIMO) detection problem is
illuminating for the development, interpretation, and classification of various detection …

For multiple-input multiple-output (MIMO) systems, the optimum maximum likelihood (ML)
detection requires tremendous complexity as the number of antennas or modulation level …

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 …