In this letter, a wideband hybrid precoding network (WHPC-Net) based on deep learning is
designed for Terahertz (THz) massive multiple input multiple output (MIMO) system in the …

Terahertz (THz) massive MIMO with wideband hybrid precoding has been considered one of
the crucial techniques to compensate for the high-path loss in 6G high-data-rate Internet of …

Due to the different signal-to-noise ratio (SNR) of each subchannel, the bit error rate (BER)
of hybrid precoding based on singular value decomposition (SVD) decreases. In this paper …

In terahertz (THz) massive multiple-input multiple-output (MIMO) systems, the combination of
huge bandwidth and massive antennas results in severe beam split, thus making the …

Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) has been
regarded to be an emerging solution for the next generation of communications, in which …

In hybrid precoding, a partially-connected (PC) architecture has aroused significant attention
for its low hardware complexity. Unfortunately, the hybrid precoding with the PC architecture …

In multi-user millimeter wave (mmWave) communications, massive multiple-input multiple-
output (MIMO) systems can achieve high gain and spectral efficiency significantly. To reduce …

Channel estimation and hybrid precoding are considered for multi-user millimeter wave
massive multi-input multi-output system. A deep learning compressed sensing (DLCS) …

Benefiting from tens of GHz bandwidth, Terahertz (THz) communications has been
considered as one of the promising technologies for the future 6G wireless communications …

Millimeter wave (mmWave) system tends to have a large number of antenna elements to
compensate for the high channel path loss. The immense number of BS antennas incurs …