Spectral decision in cognitive radio networks based on deep learning

作者：

Highlights：

• We proposed a novel algorithm to spectral decision in cognitive radio networks.

• The algorithm is based on the based on deep learning technique.

• To validate the algorithm, a trace of real spectrum occupation data is used.

• The main contribution is the proposal of a RGB chromatic conversion algorithm.

摘要

•We proposed a novel algorithm to spectral decision in cognitive radio networks.•The algorithm is based on the based on deep learning technique.•To validate the algorithm, a trace of real spectrum occupation data is used.•The main contribution is the proposal of a RGB chromatic conversion algorithm.

论文关键词：Cognitive radio,Deep learning,Decision-making,Feature extraction,Image processing,Multi-criteria techniques

论文评审过程：Received 27 October 2020, Revised 1 March 2021, Accepted 17 April 2021, Available online 22 April 2021, Version of Record 5 May 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115080