Gaussian mixture-learned approximate message passing (GM-LAMP) based hybrid precoders for mmWave massive MIMO systems

Hybrid precoder design is a key technique providing better antenna gain and reduced hardware complexity in millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems. In this paper, Gaussian Mixture learned approximate message passing (GM-LAMP) network is presented for the design...

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Vydáno v:	China communications Ročník 21; číslo 12; s. 66 - 79
Hlavní autoři:	Ali, K. Shoukath, Philip, Sajan P., Perarasi, T.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	China Institute of Communications 01.12.2024 Department of Electronics and Communication Engineering,Presidency University,Itgalpura,Rajanukunte,Yelahanka,Bengaluru,Karnataka 560064,India%Department of Electronics and Communication Engineering,Bannari Amman Institute of Technology,Erode,Tamil Nadu,638 401,India
Témata:	approximate message passing Baseband Computational complexity deep neural network Gaussian Mixture model Massive MIMO Matching pursuit algorithms Mathematical models Message passing millimeter wave Millimeter wave communication Radio frequency Sparse matrices Spectral efficiency deep neu-ral network massive MIMO millimeter wave approximate message passing Gaussian Mixture model
ISSN:	1673-5447
On-line přístup:	Získat plný text
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