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

The conventional grant-based network relies on the handshaking between the base station
and active devices to achieve dynamic multi-user scheduling, which may result in large …

We present a joint message passing approach that combines belief propagation and the
mean field approximation. Our analysis is based on the region-based free energy …

One-bit quantization can significantly reduce the massive multiple-input and multiple-output
(MIMO) system hardware complexity, but at the same time it also brings great challenges to …

In this paper, we address the design of message-passing receiver for massive multiple-input
multiple-output orthogonal frequency division multiplex (MIMO-OFDM) systems. With the aid …

This letter deals with message passing receiver design for joint channel estimation and
decoding in MIMO-OFDM with unknown noise variance. The conventional factor graph …

We consider a massive MIMO system where the array at the access point reaches a
dimension that is much larger than the array in current systems. Transitioning to an …

In this paper, we consider the uplink grant-free SCMA detection where the base station
blindly decodes the users' data without knowing the user activity and their channel state …

Receiver algorithms which combine belief propagation (BP) with the mean field (MF)
approximation are well-suited for inference of both continuous and discrete random …

This paper proposes a codeword-based iterative detection and decoding (IDD) algorithm for
multiple-input multiple-output (MIMO) systems. In the proposed algorithm, multiple streams …