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eess.SP2026

Intelligent Beamforming and Handover via Physics-Informed Beam-Aware CKM Diffusion

Le Zhao, Zesong Fei, Xinyi Wang +4

Downlink communications from base stations (BSs) to unmanned aerial vehicles (UAVs) in sixth-generation (6G) networks require precise beam alignment to overcome severe mobile commu…

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.SP2026

Towards Intelligent Low-Altitude Wireless Network Deployment: Differentiable Channel Knowledge Map Construction and Trajectory Design

Le Zhao, Zesong Fei, Wenge Shi +4

Channel knowledge map (CKM) has emerged as a promising technique to leverage prior propagation knowledge in low-altitude wireless networks (LAWNs), yet state-of-the-art grid-based…

eess.SP2026

A Scalable Cloud-Edge Collaborative CKM Construction Framework Enabled by a Foundation Prior Model

Sixu Xiao, Yong Zeng, Haotian Rong +1

Channel knowledge maps (CKMs) provide a site-specific, location-indexed knowledge base that supports environment-aware communications and sensing in 6G networks. In practical deplo…

eess.SP2026

BeamCKMDiff: Beam-Aware Channel Knowledge Map Construction via Diffusion Transformer

Le Zhao, Yining Wang, Xinyi Wang +2

Channel knowledge map (CKM) is emerging as a critical enabler for environment-aware 6G networks, offering a site-specific database to significantly reduce pilot overhead. However,…

eess.SP2026

Effective outdoor pathloss prediction: A multi-layer segmentation approach with weighting map

Yuan Gao, Tao Wen, Wenjing Xie +4

Predicting pathloss by considering the physical environment is crucial for effective wireless network planning. Traditional methods, such as ray tracing and model-based approaches,…

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…