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 …

Detection techniques for massive multiple-input multiple-output (MIMO) have gained a lot of
attention in both academia and industry. Detection techniques have a significant impact on …

In this letter, an efficient massive multiple-input multiple-output (MIMO) detector is proposed
by employing a deep neural network (DNN). Specifically, we first unfold an existing iterative …

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 …

Massive multiple-input multiple-output (MIMO) is a key technology for emerging next-
generation wireless systems. Utilizing large antenna arrays at base-stations, massive MIMO …

A major challenge for uplink multiuser massive multiple-input and multiple-output (MIMO)
systems is the data detection problem at the receiver due to the substantial increase in the …

In massive multiple-input multiple-output (MIMO) uplink, the minimum mean square error
(MMSE) algorithm is near-optimal and linear, but still suffers from high-complexity of matrix …

A new approach based on joint steepest descent algorithm and Jacobi iteration is proposed
to iteratively realize linear detections for uplink massive multiple-input multiple-output …

Among various massive multiple-input multiple-output (MIMO) signal detection schemes,
expectation propagation (EP) achieves superior performance in high-dimensional systems …

Traditional symbol detection algorithms either perform poorly or are impractical to implement
for Massive Multiple-Input Multiple-Output (MIMO) systems. Recently, several learning …