9 papers
ControlRadio: Prompt-Driven Controllable Diffusion for Cross-Modal Radio Map Generation
Kangjun Liu, Xiying Pan, Shuhang Zhang +3
Radio maps describe how wireless signals propagate across space and are essential for wireless communication, sensing, and network planning. However, constructing accurate radio ma…
Theoretical Analysis of Diffusion Models for Radio Map Estimation with Ultra-low Sampling Rates
Zhiyuan Liu, Qingyu Liu, Shuhang Zhang +2
Radio maps, which characterize the spatial distribution of radio frequency metrics such as received signal strength, are essential for a wide range of wireless applications. The pr…
Bridging the Sampling Distribution Shift in Radio Map Estimation: A Trajectory-Aware Paradigm
Feng Qiu, Zheng Fang, Shuhang Zhang +4
Learning-based radio map estimation (RME) plays a critical role in UAV-assisted wireless sensing, enabling tasks such as coverage prediction and network optimization. Most current…
A Fine-Grained 3D Radio Map Construction Paradigm with Ultra-Low Sampling Rates by Large Generative Models
Zhiyuan Liu, Qingyu Liu, Shuhang Zhang +2
A radio map captures the spatial distribution of wireless channel parameters, such as the strength of the signal received, across a geographic area. The problem of fine-grained thr…
RadioPiT: Radio Map Generation with Pixel Transformer Driven by Ultra-Sparse Real-World Data
Zeyao Sun, Bohao Fan, Qingyu Liu +2
As wireless communication networks rapidly evolve, spectrum resources are increasingly scarce, making effective spectrum management critically important. Radio map is a spatial rep…
End-Edge Model Collaboration: Bandwidth Allocation for Data Upload and Model Transmission
Dailin Yang, Shuhang Zhang, Hongliang Zhang +1
The widespread adoption of large artificial intelligence (AI) models has enabled numerous applications of the Internet of Things (IoT). However, large AI models require substantial…