2022
DOI: 10.1109/lcomm.2022.3200939
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MGGAN-Based Hybrid Beamforming Design for Massive MIMO Systems Against Rank-Deficient Channels

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Cited by 5 publications
(4 citation statements)
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“…10. Multi-GAN architecture for beamforming with Generator G1, (b) Generator G2, (c) Generator G3, (d) the spectrum efficiency module, and (e) the discriminator [113].…”
Section: E Beamformingmentioning
confidence: 99%
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“…10. Multi-GAN architecture for beamforming with Generator G1, (b) Generator G2, (c) Generator G3, (d) the spectrum efficiency module, and (e) the discriminator [113].…”
Section: E Beamformingmentioning
confidence: 99%
“…Use GAN to reconstruct a low-dimensional channel fed back from the receiver to perform hybrid beamforming at the transmitter [113] Suffer from the rank-deficient problem Use a GAN architecture with three generators to recover (i) rank-deficient channels, obtain (ii) analog beamforming and (iii) digital beamforming matrices.…”
Section: Table VII Summary Of Gai Approaches For Beamformingmentioning
confidence: 99%
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“…In recent years, it has emerged that a large capacity can be attracted by exploiting the spatial dimension of the channel, i.e., by using MIMO (multiple input multiple output) technique [8,9]. The data rates offered by this technique have improved the telecommunications market landscape, and several services are made possible by the great potential of this technique [10]. Therefore, the main purpose of this paper is to demonstrate the foundations of multi-antenna communications and mathematically derive the overall capacity of a MIMO system in THz context MIMO.…”
Section: Introductionmentioning
confidence: 99%