Machine-learning-based pilot symbol assisted channel prediction

Machine-learning-based pilot symbol assisted channel prediction

In this paper, machine learning (ML) algorithms are used for channel prediction in wireless communications. The performances of five ML algorithms are compared in terms of the prediction accuracy and the symbol error rate (SER) of different modulation schemes based on the prediction. The result show...

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Bibliographic Details
Main Authors: Chen, Y. (Author), Ye, Y. (Author)
Format: Article
Language:English
Published: John Wiley and Sons Inc 2022
Subjects:
Channel prediction
Forecasting
Machine learning algorithms
Modulation schemes
Performance
Phase shift
Phase shift keying
Pilot symbol assisted
Prediction accuracy
Prediction support
Signal to noise ratio
Support vector machines
Support vectors machine
Symbol error rates
Wireless communications
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