8 papers
You May Use the Same Channel Knowledge Map for Environment-Aware NLoS Sensing and Communication
Di Wu, Zhuoyin Dai, Yong Zeng
As one of the key usage scenarios for the sixth generation (6G) wireless networks, integrated sensing and communication (ISAC) provides an efficient framework to achieve simultaneo…
Channel Knowledge Map-Enabled NLoS ISAC Localization
Chentao Hong, Di Wu, Liang Wu +2
Accurate localization in non-line-of-sight (NLoS) environments remains challenging even with both angle-of-arrival (AoA) and time-of-arrival (ToA) measurements. In complex urban sc…
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…