Machine learning based hybrid precoder with user scheduling technique for maximizing sum rate in downlink MU-MIMO system

Millimetre wave communication and massive MIMO are eminent candidates, to meet the requirements in a 5G network. The Combination of these techniques will impart an innovative and efficient transceiver signal processing techniques and radio resource management. The main idea of this paper is to propo...

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Vydané v:	International journal of information technology (Singapore. Online) Ročník 14; číslo 5; s. 2399 - 2405
Hlavní autori:	Rajarajeswarie, B., Sandanalakshmi, R
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Singapore Springer Nature Singapore 01.08.2022 Springer Nature B.V
Predmet:	5G mobile communication Algorithms Artificial Intelligence Communications systems Computer Imaging Computer Science Correlation coefficients Downlinking Electronic systems Entropy (Information theory) Image Processing and Computer Vision Machine Learning Millimeter waves MIMO communication Original Research Pattern Recognition and Graphics Radio signals Resource management Scheduling Signal processing Software Engineering Vision SystemVue User scheduling Hybrid precoder Weight assigned cross entropy Multi-user MIMO Machine learning
ISSN:	2511-2104, 2511-2112
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