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Found 1 from your keywords: subject="Jaringan Seluler 5G"
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OPTIMASI BEAMFORMING SINYAL ANTENA MIMO PADA JARINGAN 5G MENGGUNAKAN ALGORITM…
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Sihombing, Daniel Febrianto

This study discusses beamforming optimization in indoor 5G communication systems based on MU-MIMO configuration by comparing two main approaches, namely the conventional adaptive Least Mean Square (LMS) algorithm and the Long Short-Term Memory (LSTM) deep learning-based weight prediction method. The tested channel environment is an indoor scenario with ten random users, resulting in complex mul…

Edition
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ISBN/ISSN
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Collation
xx, 253 hlm.; ilus.; tab.; 29 cm.
Series Title
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Call Number
T1901602025