Symbol detection (SD) plays an important role in a digital communication system. However,
most SD algorithms require channel state information (CSI), which is often difficult to …

We propose a novel joint channel and data estimation (JCDE) algorithm via bilinear
Gaussian belief propagation (BiGaBP) for massive multi-user MIMO (MU-MIMO) systems …

This paper proposes a novel differential active self-interference canceller (DASIC) algorithm
for asynchronous in-band full-duplex (IBFD) Gaussian filtered frequency shift keying (GFSK) …

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 …

Recent research has shown that in massive multiple-input multiple-output (MIMO) detection,
the model-driven machine learning (ML) detection algorithm with online training method can …

The joint use of Soft-Input Soft-Output (SISO) detectors and channel decoders in an iterative
manner has received growing attention for Multi-User Multiple-Input Multiple-Output (MU …

This paper addresses short-length sparse superposition codes (SSCs) over the additive
white Gaussian noise channel. Damped approximate message-passing (AMP) is used to …

This paper proposes a trainable bilinear Gaussian belief propagation (BiGaBP) aided by
deep unfolding built from scratch. In Massive MIMO scenarios, joint channel and data …

This paper proposes deep unfolding (DU)-aided blind signal separation (BSS) for short data
block communications of multi-user multi-input multi-output (MU-MIMO) transmission …

We propose two full-digital receive beamforming (BF) methods for low-complexity and high-
accuracy uplink signal detection via Gaussian belief propagation (GaBP) at base stations …