Radio Map Estimation: A Data-Driven Approach to Spectrum Cartography

TL;DR

This paper provides a comprehensive overview of data-driven radio map estimation methods, covering simple to advanced algorithms, with illustrative examples to aid understanding of spectrum cartography techniques.

Contribution

It offers a detailed tutorial on radio map estimation methods, highlighting recent state-of-the-art techniques and practical applications in spectrum cartography.

Findings

Survey of radio map estimation techniques

Comparison of simple and advanced algorithms

Illustrative toy examples demonstrate concepts

Abstract

Radio maps characterize quantities of interest in radio communication environments, such as the received signal strength and channel attenuation, at every point of a geographical region. Radio map estimation typically entails interpolative inference based on spatially distributed measurements. In this tutorial article, after presenting some representative applications of radio maps, the most prominent radio map estimation methods are discussed. Starting from simple regression, the exposition gradually delves into more sophisticated algorithms, eventually touching upon state-of-the-art techniques. To gain insight into this versatile toolkit, illustrative toy examples will also be presented.