1 citations · 4 across the 35 of their papers we have counts for
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RMPrior: Bridging Propagation Priors and Diffusion Refinement for Efficient Radio Map Construction
Zixuan Guo, Xiucheng Wang, Nan Cheng
Diffusion models achieve high-fidelity radio map construction through iterative denoising, yet their sampling cost limits practicality in dynamic wireless systems where radio maps…
RadioDiff-Flux: Efficient Radio Map Construction via Generative Denoise Diffusion Model Trajectory Midpoint Reuse
Xiucheng Wang, Peilin Zheng, Honggang Jia +4
Accurate radio map (RM) construction is essential to enabling environment-aware and adaptive wireless communication. However, in future 6G scenarios characterized by high-speed net…
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…
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…
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-: 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…
RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction
Xiucheng Wang, Keda Tao, Nan Cheng +4
Radio map (RM) is a promising technology that can obtain pathloss based on only location, which is significant for 6G network applications to reduce the communication costs for pat…
Reliable Projection Based Unsupervised Learning for Semi-Definite QCQP with Application of Beamforming Optimization
Xiucheng Wang, Qi Qiu, Nan Cheng
In this paper, we investigate a special class of quadratic-constrained quadratic programming (QCQP) with semi-definite constraints. Traditionally, since such a problem is non-conve…