Intelligent Radio Signal Processing: A Contemporary Survey

by   Quoc-Viet Pham, et al.

Intelligent signal processing for wireless communications is a vital task in modern wireless systems, but it faces new challenges because of network heterogeneity, diverse service requirements, a massive number of connections, and various radio characteristics. Owing to recent advancements in big data and computing technologies, artificial intelligence (AI) has become a useful tool for radio signal processing and has enabled the realization of intelligent radio signal processing. This survey covers four intelligent signal processing topics for the wireless physical layer, including modulation classification, signal detection, beamforming, and channel estimation. In particular, each theme is presented in a dedicated section, starting with the most fundamental principles, followed by a review of up-to-date studies and a summary. To provide the necessary background, we first present a brief overview of AI techniques such as machine learning, deep learning, and federated learning. Finally, we highlight a number of research challenges and future directions in the area of intelligent radio signal processing. We expect this survey to be a good source of information for anyone interested in intelligent radio signal processing, and the perspectives we provide therein will stimulate many more novel ideas and contributions in the future.



There are no comments yet.


page 1

page 4

page 7

page 10

page 20


Wireless 2.0: Towards an Intelligent Radio Environment Empowered by Reconfigurable Meta-Surfaces and Artificial Intelligence

We introduce "Wireless 2.0": The future generation of wireless communica...

20 Years of Evolution from Cognitive to Intelligent Communications

It has been 20 years since the concept of cognitive radio (CR) was propo...

Roadmap on Signal Processing for Next Generation Measurement Systems

Signal processing is a fundamental component of almost any sensor-enable...

Spectrum Intelligent Radio: Technology, Development, and Future Trends

The advent of Industry 4.0 with massive connectivity places significant ...

Graph signal processing for machine learning: A review and new perspectives

The effective representation, processing, analysis, and visualization of...

Signal Processing and Machine Learning Techniques for Terahertz Sensing: An Overview

Following the recent progress in Terahertz (THz) signal generation and r...

Deep Learning For Experimental Hybrid Terrestrial and Satellite Interference Management

Interference Management is a vast topic present in many disciplines. The...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.