A Low-Complexity Algorithm for a Reinforcement Learning-Based Channel Estimator for MIMO Systems

A Low-Complexity Algorithm for a Reinforcement Learning-Based Channel Estimator for MIMO Systems

This paper proposes a low-complexity algorithm for a reinforcement learning-based channel estimator for multiple-input multiple-output systems. The proposed channel estimator utilizes detected symbols to reduce the channel estimation error. However, the detected data symbols may include errors at th...

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Bibliographic Details
Main Authors: Tae-Kyoung Kim, Moonsik Min
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Sensors
Subjects:
multiple-input multiple-output
channel estimation
Markov decision process
reinforcement learning
Online Access:https://www.mdpi.com/1424-8220/22/12/4379

Internet

https://www.mdpi.com/1424-8220/22/12/4379

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