A Reinforcement Learning-Based QAM/PSK Symbol Synchronizer

A Reinforcement Learning-Based QAM/PSK Symbol Synchronizer

Machine Learning (ML) based on supervised and unsupervised learning models has been recently applied in the telecommunication field. However, such techniques rely on application-specific large datasets and the performance deteriorates if the statistics of the inference data changes over time. Reinfo...

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Bibliographic Details
Main Authors: Marco Matta, Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Daniele Giardino, Alberto Nannarelli, Marco Re, Sergio Spano
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
machine learning
reinforcement learning
Q-learning
synchronization
timing recovery loop
Online Access:https://ieeexplore.ieee.org/document/8819991/

Internet

https://ieeexplore.ieee.org/document/8819991/

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