Optimal User Scheduling in Multi Antenna System Using Multi Agent Reinforcement Learning

Optimal User Scheduling in Multi Antenna System Using Multi Agent Reinforcement Learning

Multiple Input Multiple Output (MIMO) systems have been gaining significant attention from the research community due to their potential to improve data rates. However, a suitable scheduling mechanism is required to efficiently distribute available spectrum resources and enhance system capacity. Thi...

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Bibliographic Details
Main Authors: Muddasar Naeem, Antonio Coronato, Zaib Ullah, Sajid Bashir, Giovanni Paragliola
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
reinforcement learning
user scheduling
channel capacity
MIMO
MU-MIMO
next-generation networks
Online Access:https://www.mdpi.com/1424-8220/22/21/8278

Internet

https://www.mdpi.com/1424-8220/22/21/8278

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