This paper proposes a novel joint channel and data estimation (JCDE) algorithm via
parametric bilinear Gaussian belief propagation (PBiGaBP) for orthogonal time frequency …

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 …

We propose a novel look-up table (LUT)-based multi-user detection (MUD) algorithm to
imitate approximate message passing (AMP) for uplink signal detection in massive multi …

This paper proposes a joint channel and data estimation (JCDE) algorithm for uplink
multiuser extremely large-scale multiple-input-multiple-output (XL-MIMO) systems. The initial …

In high-speed mobile communication environments, an orthogonal time frequency space
(OTFS) scheme with robustness to doubly-selective fading channels by spreading symbols …

This paper considers a discrete-valued signal estimation scheme based on a low-complexity
Bayesian optimal message passing algorithm (MPA) for solving massive linear inverse …

Approximate message passing (AMP) is applicable to large-scale MIMO signal detection
and achieves a high detection performance with low computational complexity. However …

This paper proposes an outer loop link adaptation (OLLA) algorithm for massive multi-user
multi-input multi-output (MIMO) systems that employs uplink multi-user detection (MUD) …

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 …