Massive multiple-input multiple-output (MIMO) is a key technology to meet the user demands
in performance and quality of services (QoS) for next generation communication systems …

In this paper, we investigate the model-driven deep learning (DL) for MIMO detection. In
particular, the MIMO detector is specially designed by unfolding an iterative algorithm and …

Massive MIMO systems exploit the favorable propagation condition of the radio channel,
whereby the vector-valued channels between the base station (BS) and the terminals …

Multiple-input Multiple-output (MIMO) technologies play an important role in modern and
future wireless communication systems as they can improve the capacity without increasing …

We propose a new iterative detection and decoding (IDD) algorithm for multiple-input
multiple-output (MIMO) based on expectation propagation (EP) with application to massive …

We consider a cell-free massive multiple-input multiple-output (CF-MaMIMO) communication
system in the uplink transmission and propose a novel algorithm for blind or semi-blind joint …

We investigate a turbo soft detector based on the expectation propagation (EP) algorithm for
large-scale multiple-input multiple-output (MIMO) systems. Optimal detection in MIMO …

In this paper, we investigate channel estimation and robust detection for uplink massive
multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM) systems …

This paper proposes a low-complexity expectation propagation (EP) algorithm for massive
multiple-input multiple-output (MIMO) detections. The original EP detection algorithm shows …

Generalized spatial modulations (GSM) represent a novel multiple input multiple output
(MIMO) scheme, which can be regarded as a compromise between spatial multiplexing …