Work

Physics-Inspired Machine Learning for Radiomap Estimation: Integration of Radio Propagation Models and Artificial Intelligence

Year: 2024

Type: article

Source: IEEE Communications Magazine

DOI: 10.1109/mcom.001.2300782

Authors: Songyang Zhang, Brian Choi, Feng Ouyang, Zhi Ding

Institutions: University of Louisiana at Lafayette, Johns Hopkins University, Johns Hopkins University Applied Physics Laboratory, University of California, Davis

Language: English

Topic: Cognitive Radio Networks and Spectrum Sensing

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, University of Louisiana at Lafayette, Applied Physics Laboratory, Johns Hopkins University

Award: SWIFT:SMALL: Dynamic Wireless Resource Management and Transceiver Adaptation for Efficient Spectrum Utilization and Coexistence

OpenAlex ID: W4401507886

FWCI: 4.897

Cites: 15

Cited by: 29

Related to: 10