2 papers
cs.NI2026
SAIL: Unsupervised Spatial-Angular Interpretable Feature Learning for RF Map Synthesis
Sopan Sarkar, Marwan Krunz
In wireless networks, radio-frequency (RF) maps are critical for tasks such as capacity planning, coverage estimation, and localization. Traditional approaches for obtaining RF map…
cs.LG2026
Deep Learning-Driven Friendly Jamming for Secure Multicarrier ISAC Under Channel Uncertainty
Bui Minh Tuan, Van-Dinh Nguyen, Diep N. Nguyen +5
Integrated sensing and communication (ISAC) systems promise efficient spectrum utilization by jointly supporting radar sensing and wireless communication. This paper presents a dee…