6 papers
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…
Radio Maps for Beam Alignment in mmWave Communications with Location Uncertainty
Tien Ngoc Ha, Daniel Romero, Roberto López-Valcarce
Next generation communication systems require accurate beam alignment to counteract the impairments that characterize propagation in high-frequency bands. The overhead of the pilot…
Spoofing Detection in the Physical Layer with Graph Neural Networks
Tien Ngoc Ha, Daniel Romero
In a spoofing attack, a malicious actor impersonates a legitimate user to access or manipulate data without authorization. The vulnerability of cryptographic security mechanisms to…
Spoofing Attack Detection in the Physical Layer with Robustness to User Movement
Daniel Romero, Tien Ngoc Ha, Peter Gerstoft
In a spoofing attack, an attacker impersonates a legitimate user to access or modify data belonging to the latter. Typical approaches for spoofing detection in the physical layer d…
Theoretical Analysis of the Radio Map Estimation Problem
Daniel Romero, Tien Ngoc Ha, Raju Shrestha +1
Radio maps provide radio frequency metrics, such as the received signal strength, at every location of a geographic area. These maps, which are estimated using a set of measurement…
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…