activity
20242026
collaborators

6 papers

eess.IV2026

CKM Beyond Channel Gain: Spatial Correlation Map Construction with Deep Learning

Z. Chen, S. Fu, Y. Zeng +2

Channel knowledge map (CKM) is a promising technique to achieve environment-aware wireless communication and sensing. Constructing the complete CKM based on channel knowledge obser…

cs.IT2026

Channel Knowledge Map Construction via Guided Flow Matching

Ziyu Huang, Yong Zeng, Shen Fu +2

The efficient construction of accurate channel knowledge maps (CKMs) is crucial for unleashing the full potential of environment-aware wireless networks, yet it remains a difficult…

eess.SP2025

CKMDiff: A Generative Diffusion Model for CKM Construction via Inverse Problems with Learned Priors

Shen Fu, Yong Zeng, Zijian Wu +4

Channel knowledge map (CKM) is a promising technology to enable environment-aware wireless communications and sensing with greatly enhanced performance, by offering location-specif…

eess.SP2025

CKMImageNet: A Dataset for AI-Based Channel Knowledge Map Towards Environment-Aware Communication and Sensing

Zijian Wu, Di Wu, Shen Fu +2

With the increasing demand for real-time channel state information (CSI) in sixth-generation (6G) mobile communication networks, channel knowledge map (CKM) emerges as a promising…

eess.SP2024

Generative CKM Construction using Partially Observed Data with Diffusion Model

Shen Fu, Zijian Wu, Di Wu +1

Channel knowledge map (CKM) is a promising technique that enables environment-aware wireless networks by utilizing location-specific channel prior information to improve communicat…

cs.IT2024

CKMImageNet: A Comprehensive Dataset to Enable Channel Knowledge Map Construction via Computer Vision

Di Wu, Zijian Wu, Yuelong Qiu +2

Environment-aware communication and sensing is one of the promising paradigm shifts towards 6G, which fully leverages prior information of the local wireless environment to optimiz…