Dynamic spectrum access and network optimization require accurate real-time radio maps in urban environments. However, high-density measurements are impractical, and extremely sparse sampling leads to poor reconstruction, particularly when mobile transmitters cause hotspot drift. This paper proposes a spatio-temporal r...
Jia-Yao Shang, Rui-Jin Sun, Nan Cheng et al.· 2026 IEEE/CIC International...· 0 citations
In urban canyons, blockage and multipath degrade conventional geometric localization, while RSS/RSRP fingerprint maps provide limited distinguishability under single-base-station conditions. This paper uses RT-generated small-scale radio maps with AoA, delay, and RSS features, and estimates the UE position by KNN match...
Jun Zhu, Yi-Fan Zhang, Nan Cheng et al.· 2026 IEEE/CIC International...· 0 citations
RadioVIL is proposed, an efficient two-stage framework that reformulates joint radio map inpainting and zero-shot vehicle localization as a prior-guided physical inverse problem and unlocks accurate zero-shot vehicle localization directly from sparse radio maps, paving a robust way for ISAC at the 6G edge.
Ruixin Zhao, Xiu-Cheng Wang, Qiming Zhang et al.· 0 citations
Driven by the vision of a thriving low-altitude economy and aiming to provide on-demand services for diverse entities, this paper investigates an integrated sensing and communication (ISAC)-enabled low-altitude wireless network (LAWN). Benefiting from flexible mobility and cost-effective cooperative deployment, multipl...
Cheng Ma, Ze-Wei Jing, Qinghai Yang et al.· IEEE Transactions on Wireles...· 1 citation
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.