3 papers
eess.SP2026
Learning the Channel Gain from Anywhere to Anywhere via Cross-environment Transformer Estimators
Prasenjit Dhara, Daniel Romero
Channel-gain maps provide the channel gain between any two locations in a geographical region. They find numerous applications, from resource allocation and interference control to…
eess.SP2025
Radio Map Estimation: Empirical Validation and Analysis
Raju Shrestha, Tien Ngoc Ha, Pham Q. Viet +1
Radio maps provide metrics such as the received signal strength at every location in a geographical region of interest. Extensive research has been carried out in this context, but…
eess.SP2025
Bayesian Radio Map Estimation: Fundamentals and Implementation via Diffusion Models
Tien Ngoc Ha, Daniel Romero
Radio map estimation (RME) is the problem of inferring the value of a certain metric (e.g. signal power) across an area of interest given a collection of measurements. While most w…