Wireless Channel State Prediction Method Based on Improved Adaptive and Parameter-Free Recurrent Neural Structure

Wireless Channel State Prediction Method Based on Improved Adaptive and Parameter-Free Recurrent Neural Structure

Aiming at the problem of large error of channel state prediction caused by channel time-varying characteristics in wireless communication system, propose a wireless channel state prediction method based on improved adaptive and parameter-free recurrent neural structure(APF-RNS). The method though Aq...

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Bibliographic Details
Main Authors: Qingli Liu, Na Cao, Mengqian Li, Zhenya Zhang, Guoqiang Yang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Adaptive and parameter-free recurrent neural structure
channel state information prediction
aquila optimizer
wireless communication
Online Access:https://ieeexplore.ieee.org/document/9794647/

Internet

https://ieeexplore.ieee.org/document/9794647/

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