2 citations · 3 across the 11 of their papers we have counts for
13 papers
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…
CKM-Enabled Joint Spatial-Doppler Domain Clutter Suppression for Low-Altitude UAV ISAC
Zihan Xu, Zhiwen Zhou, Di Wu +2
The rapid development of low-altitude economy has placed higher demands on the sensing of small-sized unmanned aerial vehicle (UAV) targets. However, the complex and dynamic low-al…
BS-1-to-N: Diffusion-Based Environment-Aware Cross-BS Channel Knowledge Map Generation for Cell-Free Networks
Zhuoyin Dai, Di Wu, Yong Zeng +3
Channel knowledge map (CKM) inference across base stations (BSs) is the key to achieving efficient environmentaware communications. This paper proposes an environmentaware cross-BS…
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…
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…
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…
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…
Prototyping and Experimental Results for Environment-Aware Millimeter Wave Beam Alignment via Channel Knowledge Map
Zhuoyin Dai, Di Wu, Zhenjun Dong +4
Channel knowledge map (CKM), which aims to directly reflect the intrinsic channel properties of the local wireless environment, is a novel technique for achieving environmentaware…
Can Channels be Fully Inferred Between Two Antenna Panels?
Y. Qiu, D. W, Y. Zeng
This letter considers a two-panel massive multiple-input multiple-output (MIMO) communication system, where the base station (BS) is equipped with two antenna panels that may use d…