A Brief Review on Deep Learning in Application of Communication Signal Processing

This paper presents a brief review on deep learning in application of communication signal processing. As an important branch of artificial intelligence technology, deep learning schemes are independent of the underlying object model and can extract meaningful features from the observed data. When applied to communication signal processing, deep learning algorithms perform the following main functions: symbol detection, anti-interference and modeling the channel information. Furthermore, several challenges confronted by application of deep learning technology in communication signal processing are proposed as well.