13 citations · 22 across the 56 of their papers we have counts for
18 papers · 1 filter
NLoS Localization with Single Base Station Based on Radio Map
Jiajie Xu, Yifan Guo, Xiucheng Wang +2
Accurate outdoor localization in Non-Line-of-Sight (NLoS) environments remains a critical challenge for wireless communication and sensing systems. Existing methods, including posi…
RMSup: Physics-Informed Radio Map Super-Resolution for Compute-Enhanced Integrated Sensing and Communications
Qiming Zhang, Xiucheng Wang, Nan Cheng +2
Radio maps (RMs) provide a spatially continuous description of wireless propagation, enabling cross-layer optimization and unifying communication and sensing for integrated sensing…
iRadioDiff: Physics-Informed Diffusion Model for Indoor Radio Map Construction and Localization
Xiucheng Wang, Tingwei Yuan, Yang Cao +3
Radio maps (RMs) serve as environment-aware electromagnetic (EM) representations that connect scenario geometry and material properties to the spatial distribution of signal streng…
RadioMapMotion: A Dataset and Baseline for Proactive Spatio-Temporal Radio Environment Prediction
Honggang Jia, Nan Cheng, Xiucheng Wang
Radio maps (RMs), which provide location-based pathloss estimations, are fundamental to enabling proactive, environment-aware communication in 6G networks. However, existing deep l…
Graph Neural Network-Based Multicast Routing for On-Demand Streaming Services in 6G Networks
Xiucheng Wang, Zien Wang, Nan Cheng +3
The increase of bandwidth-intensive applications in sixth-generation (6G) wireless networks, such as real-time volumetric streaming and multi-sensory extended reality, demands inte…
RadioFlow: Efficient Radio Map Construction Framework with Flow Matching
Haozhe Jia, Wenshuo Chen, Xiucheng Wang +8
Accurate and real-time radio map (RM) generation is crucial for next-generation wireless systems, yet diffusion-based approaches often suffer from large model sizes, slow iterative…
Cross-Receiver Generalization for RF Fingerprint Identification via Feature Disentanglement and Adversarial Training
Yuhao Pan, Xiucheng Wang, Fushuo Huo +2
Radio frequency fingerprint identification (RFFI) is a key technique for wireless network security, leveraging intrinsic hardware imperfections to enable transmitter identification…
UrbanMIMOMap: A Ray-Traced MIMO CSI Dataset with Precoding-Aware Maps and Benchmarks
Honggang Jia, Xiucheng Wang, Nan Cheng +2
Sixth generation (6G) systems require environment-aware communication, driven by native artificial intelligence (AI) and integrated sensing and communication (ISAC). Radio maps (RM…
RadioDiff-Loc: Diffusion Model Enhanced Scattering Congnition for NLoS Localization with Sparse Radio Map Estimation
Xiucheng Wang, Qiming Zhang, Nan Cheng
Accurate localization of non-cooperative signal sources in non-line-of-sight (NLoS) environments remains a critical challenge with a wide range of applications, including autonomou…
QoE-Aware Service Provision for Mobile AR Rendering: An Agent-Driven Approach
Conghao Zhou, Lulu Sun, Xiucheng Wang +4
Mobile augmented reality (MAR) is envisioned as a key immersive application in 6G, enabling virtual content rendering aligned with the physical environment through device pose esti…
RadioMamba: Breaking the Accuracy-Efficiency Trade-off in Radio Map Construction via a Hybrid Mamba-UNet
Honggang Jia, Nan Cheng, Xiucheng Wang +4
Radio map (RM) has recently attracted much attention since it can provide real-time and accurate spatial channel information for 6G services and applications. However, current deep…
Latent Diffusion Model Based Denoising Receiver for 6G Semantic Communication: From Stochastic Differential Theory to Application
Xiucheng Wang, Honggang Jia, Nan Cheng
In this paper, a novel semantic communication framework empowered by generative artificial intelligence (GAI) is proposed, to enhance the robustness against both channel noise and…
RadioDiff-3D: A 3D3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication
Xiucheng Wang, Qiming Zhang, Nan Cheng +5
Radio maps (RMs) serve as a critical foundation for enabling environment-aware wireless communication, as they provide the spatial distribution of wireless channel characteristics.…
On-Demand Multimedia Delivery in 6G: An Optimal-Cost Steiner Tree Approach
Zien Wang, Xiucheng Wang, Nan Cheng +4
The exponential growth of multimedia data traffic in 6G networks poses unprecedented challenges for immersive communication, where ultra-high-definition, multi-quality streaming mu…
RadioDiff-Inverse: Diffusion Enhanced Bayesian Inverse Estimation for ISAC Radio Map Construction
Xiucheng Wang, Zhongsheng Fang, Nan Cheng +4
Radio maps (RMs) are essential for environment-aware communication and sensing, providing location-specific wireless channel information. Existing RM construction methods often rel…
RadioDiff-: Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Construction
Xiucheng Wang, Qiming Zhang, Nan Cheng +4
In this paper, we propose a novel physics-informed generative learning approach, named RadioDiff-, for accurate and efficient multipath-aware radio map (RM) construction. As f…
Differentiable Projection-based Learn to Optimize in Wireless Network-Part I: Convex Constrained (Non-)Convex Programming
Xiucheng Wang, Xuan Zhao, Nan Cheng
This paper addresses a class of (non-)convex optimization problems subject to general convex constraints, which pose significant challenges for traditional methods due to their inh…
Erasing Noise in Signal Detection with Diffusion Model: From Theory to Application
Xiucheng Wang, Peilin Zheng, Nan Cheng
In this paper, a signal detection method based on the denoise diffusion model (DM) is proposed, which outperforms the maximum likelihood (ML) estimation method that has long been r…