1 citations · 1 across the 4 of their papers we have counts for
6 papers
AI-based Environment-Aware XL-MIMO Channel Estimation with Location-Specific Prior Knowledge Enabled by CKM
Yuelong Qiu, Di Wu, Yong Zeng +3
Accurate and efficient acquisition of wireless channel state information (CSI) is crucial to enhance the communication performance of wireless systems. However, with the continuous…
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…
Supporting Urban Low-Altitude Economy: Channel Gain Map Inference Based on 3D Conditional GAN
Yonghao Wang, Ruoguang Li, Di Wu +2
The advancement of advanced air mobility (AAM) in recent years has given rise to the concept of low-altitude economy (LAE). However, the diverse flight activities associated with t…
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…
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…
Generating CKM Using Others' Data: Cross-AP CKM Inference with Deep Learning
Zhuoyin Dai, Di Wu, Xiaoli Xu +1
Channel knowledge map (CKM) is a promising paradigm shift towards environment-aware communication and sensing by providing location-specific prior channel knowledge before real-tim…