The belief propagation (BP) algorithm exhibits outstanding detection performance for the
multiple-input multiple-output (MIMO) transmission. However, this algorithm may fail to …

In this paper, two low-complexity belief propagation (BP) based detectors are proposed for
multiple-input multiple-out (MIMO) system. The factor graph is leveraged to represent the …

In this paper, we propose a QR-decomposed generalized belief propagation (QR-GBP) for
multi-input multi-output (MIMO) detection to eliminate an error floor and achieve near …

In this paper, deep neural network (DNN) is utilized to improve the belief propagation (BP)
detection for massive multiple-input multiple-output (MIMO) systems. A neural network …

In a massive multiple-input multiple-output (MIMO) system, belief propagation (BP) detection
is known as a method to separate and detect received signals. In BP detection, a MIMO …

Compared to the linear MIMO detectors, the Belief Propagation (BP) detector has shown
greater capabilities in achieving near-optimal performance and better nature to iteratively …

Belief Propagation (BP) is an iterative method to solve inference problems by passing
messages in a factor graph. Due to its low complexity and near optimality, the BP algorithm …

We consider large multi-user detection (MUD) via deep unfolding-aided belief propagation
(BP) in coded multi-user MIMO (MU-MIMO) systems. A BP detector optimized (trained) by …

This paper proposes a deep unfolding-aided belief propagation (BP) for large multi-user
multi-input multi-output (MU-MIMO) detection under correlated fading channels. A BP-based …

We derive the belief propagation (BP) detector for large-scale multiple-input multiple-out
communication systems where the low-resolution analog-to-digital converters (ADCs) are …