Semantic Scholar Open Access 2022 137 sitasi

Radio Map Estimation: A data-driven approach to spectrum cartography

Daniel Romero Seung-Jun Kim

Lihat Sumber DOI

Abstrak

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 (RME) typically entails interpolative inference based on spatially distributed measurements. In this tutorial article, after presenting some representative applications of radio maps, the most prominent RME 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.

Topik & Kata Kunci

Engineering Computer Science

Penulis (2)

Daniel Romero

Seung-Jun Kim

Format Sitasi

APA MLA BibTeX

Romero, D., Kim, S. (2022). Radio Map Estimation: A data-driven approach to spectrum cartography. https://doi.org/10.1109/MSP.2022.3200175

Akses Cepat

Lihat di Sumber doi.org/10.1109/MSP.2022.3200175

Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Total Sitasi: 137×
Sumber Database: Semantic Scholar
DOI: 10.1109/MSP.2022.3200175
Akses: Open Access ✓