A NEURAL NETWORK APPROACH TO BEAM SELECTION AND POWER OPTIMIZATION IN MM WAVE MASSIVE MIMO

A NEURAL NETWORK APPROACH TO BEAM SELECTION AND POWER OPTIMIZATION IN MM WAVE MASSIVE MIMO

Massive MIMO (multiple-input multiple-output) systems are important for millimeter-wave (mm-Wave) communication. These systems connect base stations (BS) with user equipment (UE) for faster and more efficient data transfer. However, there are challenges in achieving this performance. Beam selection...

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Bibliographic Details
Main Authors: Shahnaz Fatima, M. P. Subba Raju, R. Anil Kumar, Vatsala Anand, Yarrapragada K. S. S. Rao, D. Kishore, U. S. B. K. Mahalaxmi, K. Kalyani
Format: Article
Language:English
Published: Institute of Mechanics of Continua and Mathematical Sciences 2025-04-01
Series:Journal of Mechanics of Continua and Mathematical Sciences
Subjects:
multiple-input multiple-output
channel state information
long shortterm memory
energy consumption
resource allocation
signal to noise ratio
energy efficiency
spectral efficiency
Online Access:https://jmcms.s3.amazonaws.com/wp-content/uploads/2025/04/24061001/jmcms-2504040-A-Neural-Network-Approach-AK-2.pdf
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