Channel coding plays a pivotal role in ensuring reliable communication over wireless
channels. With the growing need for ultra-reliable communication in emerging wireless use …

In this paper, deep neural network (DNN) is utilized to improve message passing detectors
(MPDs) for massive multiple-input multiple-output (MIMO) systems. A general framework to …

This paper presents deep learning (DL) methods to optimize polar belief propagation (BP)
decoding and concatenated LDPC-polar codes. First, two-dimensional offset Min-Sum (2-D …

Since the inherent serial nature of successive cancellation list (SCL) decoding results in a
long latency, belief propagation (BP) decoding for polar codes has drawn attention for high …

Polar codes are capacity-achieving channel codes and they have recently been adopted for
fifth-generation (5G) enhanced mobile broadband (eMBB) control channels. Using …

When faced with challenging antenna configurations or high-order modulations in realistic
propagation environments, the Belief Propagation (BP) MIMO detector outperforms its linear …

In massive multiple-input multiple-output (MIMO) systems, the large size of channel state
information (CSI) matrix significantly increases the computational complexity of uplink …

The multi‐input multioutput (MIMO) systems involving multirelational signals generated from
distributed sources have been emerging as the most generalized model in practice. The …

Recently, massive multiple-input multiple-output (MIMO) detection schemes based on
message passing detection (MPD) have attracted extensive attention due to their good …

Expectation propagation (EP) attains near-optimal performance for massive multiple-input
multiple-output (MIMO) detection. However, the inevitable matrix inversions and …