15 papers
Beam-Aware Radio Map Estimation With Physics-Consistent Parametric Modeling for Unknown Multiple Satellites
Xiucheng Wang, Nan Cheng, Zhisheng Yin +2
Satellite networks with dense low Earth orbit (LEO) constellations rely on aggressive spectrum reuse, making co-channel interference a dominant and rapidly varying factor that limi…
Physics-informed line-of-sight learning for scalable deterministic channel modeling
Xiucheng Wang, Junxi Huang, Conghao Zhou +2
Deterministic channel modeling maps a physical environment to its site-specific electromagnetic response. Ray tracing produces complete multi-dimensional channel information but re…
RadioDiff-Flux: Efficient Radio Map Construction via Generative Denoise Diffusion Model Trajectory Midpoint Reuse
Xiucheng Wang, Peilin Zheng, Honggang Jia +4
Accurate radio map (RM) construction is essential to enabling environment-aware and adaptive wireless communication. However, in future 6G scenarios characterized by high-speed net…
BEVCooper: Accurate and Communication-Efficient Bird's-Eye-View Perception in Vehicular Networks
Jiawei Hou, Peng Yang, Xiangxiang Dai +2
Bird's-Eye-View (BEV) is critical to connected and automated vehicles (CAVs) as it can provide unified and precise representation of vehicular surroundings. However, quality of the…
User-Centric Communication Service Provision for Edge-Assisted Mobile Augmented Reality
Conghao Zhou, Jie Gao, Shisheng Hu +3
Future 6G networks are envisioned to facilitate edge-assisted mobile augmented reality (MAR) via strengthening the collaboration between MAR devices and edge servers. In order to p…
QoE-Aware Service Provision for Mobile AR Rendering: An Agent-Driven Approach
Conghao Zhou, Lulu Sun, Xiucheng Wang +4
Mobile augmented reality (MAR) is envisioned as a key immersive application in 6G, enabling virtual content rendering aligned with the physical environment through device pose esti…