Compressed Sensing for Wireless Communications : Useful Tips and Tricks

TL;DR

This paper provides a comprehensive overview of compressed sensing techniques tailored for wireless communications, offering practical tips, addressing common issues, and guiding researchers in designing effective CS-based wireless systems.

Contribution

It offers an accessible summary of CS fundamentals, discusses specific subproblems in wireless applications, and shares practical advice for overcoming design challenges.

Findings

Highlights potentials and limitations of CS in wireless systems

Provides useful tips for system design and performance improvement

Addresses key issues and subtle points in applying CS techniques

Abstract

As a paradigm to recover the sparse signal from a small set of linear measurements, compressed sensing (CS) has stimulated a great deal of interest in recent years. In order to apply the CS techniques to wireless communication systems, there are a number of things to know and also several issues to be considered. However, it is not easy to come up with simple and easy answers to the issues raised while carrying out research on CS. The main purpose of this paper is to provide essential knowledge and useful tips that wireless communication researchers need to know when designing CS-based wireless systems. First, we present an overview of the CS technique, including basic setup, sparse recovery algorithm, and performance guarantee. Then, we describe three distinct subproblems of CS, viz., sparse estimation, support identification, and sparse detection, with various wireless communication applications. We also address main issues encountered in the design of CS-based wireless communication systems. These include potentials and limitations of CS techniques, useful tips that one should be aware of, subtle points that one should pay attention to, and some prior knowledge to achieve better performance. Our hope is that this article will be a useful guide for wireless communication researchers and even non-experts to grasp the gist of CS techniques.