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…
eess.SP2024
Distributed Noncoherent Joint Transmission Based on Multi-Agent Reinforcement Learning for Dense Small Cell MISO Systems
Shaozhuang Bai, Zhenzhen Gao, Xuewen Liao
We consider a dense small cell (DSC) network where multi-antenna small cell base stations (SBSs) transmit data to single-antenna users over a shared frequency band. To enhance capa…