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 …

Building a practical detector to achieve the attractive merits of large-scale multiple-input
multiple-output (MIMO) is not a trivial task. However, low-complexity linear detectors could …

For massive multiple-input multiple-output (MIMO) systems, minimum mean square error
(MMSE) detection is near-optimal, but requires high-complexity matrix inversion. To avoid …

Single user massive multiple input multiple output (MIMO) can be used to increase the
spectral efficiency, since the data is transmitted simultaneously from a large number of …

Artificial intelligence has transformed multiple input multiple output (MIMO) technology into a
promising candidate for six-generation networks. However, several interference signals …

For massive multiuser multiple-input multiple-output (MIMO) systems, linear detectors, such
as minimum mean square error (MMSE), suffer from unbearable computational pressure …

Signal detection is a serious challenge for uplink massive multiple-input multiple-output
(MIMO) systems. The traditional linear minimum-mean-squared error (MMSE) achieves …

Practical data detectors must achieve low error-rate at low-complexity for massive multiple-
input multiple-output (MIMO) wireless systems. Since near-optimal minimum mean square …

Abstract In multiuser massive Multiple Input Multiple Output (MIMO) systems, a large amount
of antennas are deployed at the Base Station (BS). In this case, the Minimum Mean Square …