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 …

Millimeter wave (mmWave) communications have recently attracted large research interest,
since the huge available bandwidth can potentially lead to the rates of multiple gigabit per …

For uplink large-scale multiple-input-multiple-output (MIMO) systems, the minimum mean
square error (MMSE) algorithm is near optimal but involves matrix inversion with high …

US9312929B2 - System and methods to compensate for Doppler effects in multi-user (MU)
multiple antenna systems (MAS) - Google Patents US9312929B2 - System and methods to …

Large-scale orthogonal frequency division multiplexing (OFDM) multiple-input multiple-
output (MIMO) is a promising candidate to achieve the spectral efficiency up to several tens …

In this paper, we propose a multiple-input multiple-output (MIMO) receiver algorithm that
exploits channel hardening that occurs in large MIMO channels. Channel hardening refers …

For uplink large-scale MIMO systems, linear minimum mean square error (MMSE) signal
detection algorithm is near-optimal but involves matrix inversion with high complexity. In this …

In this paper, we propose low-complexity algorithms based on Monte Carlo sampling for
signal detection and channel estimation on the uplink in large-scale multiuser multiple-input …

Channel estimation forms the heart of any orthogonal frequency division multiplexing
(OFDM) based wireless communication receiver. Frequency domain pilot aided channel …

In this study, we consider the application of deep learning (DL) to tabu search (TS) detection
in large multiple-input multiple-output (MIMO) systems. First, we propose a deep neural …