3 papers
eess.SP2026
Active Learning for Channel Knowledge Map Construction via Bayesian Inference Diffusion Models
Yunzhe Zhu, Xuewen Liao, Zhenzhen Gao +2
Channel knowledge maps (CKMs) are regarded as key enablers of environment-aware communications in future wireless networks, as they provide location-specific channel information by…
eess.SP2025
Channel Knowledge Map Construction via Physics-Inspired Diffusion Model Without Prior Observations
Yunzhe Zhu, Xuewen Liao, Zhenzhen Gao +2
The ability to construct channel knowledge map (CKM) with high precision is essential for environment awareness in 6G wireless systems. However, most existing CKM construction meth…
cs.IT2025
Deep Reinforcement Learning for Energy Efficiency Maximization in RSMA-IRS-Assisted ISAC System
Zhangfeng Ma, Ruichen Zhang, Bo Ai +3
This paper proposes a three-dimensional (3D) geometry-based channel model to accurately represent intelligent reflecting surfaces (IRS)-enhanced integrated sensing and communicatio…