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 …

The centralization of baseband (BB) functions in a radio access network (RAN) towards data
processing centres is receiving increasing interest as it enables the exploitation of resource …

In this paper, we propose an ultra-reliable multiuser multiple-input multiple-output (MU-
MIMO) detector based on deep learning for the fifth-generation and beyond the fifth …

This paper considers a low-complexity iterative linear minimum mean square error (LMMSE)
multiuser detector for the multiple-input and multiple-output system with nonorthogonal …

This paper considers a low-complexity Gaussian message passing (GMP) Multi-User
Detection (MUD) scheme for a coded massive multiple-input multiple-output (MIMO) system …

This paper proposes a novel learning to learn method, called learning to learn iterative
search algorithm (LISA), for signal detection in a multi-input multi-output (MIMO) system. The …

Massive multiple-input multiple-output (M-MIMO) is a significant pillar in fifth generation (5G)
networks where a large number of antennas is deployed. It provides massive advantages to …

This paper considers a low-complexity Gaussian message passing iterative detection
(GMPID) algorithm for a massive multiuser multiple-input multiple-output (MU-MIMO) system …

In this paper, we introduce a randomized iterative method for signal detection in uplink large-
scale multiple-input multiple-output (MIMO) systems, which not only achieves a low …

A novel low-complexity iterative sequential detection algorithm is proposed for near-optimal
detection in uplink massive multiple-input multiple-output systems. In every iteration of the …