4 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…
RadioFormer: A Multiple-Granularity Radio Map Estimation Transformer with 1\textpertenthousand Spatial Sampling
Zheng Fang, Kangjun Liu, Ke Chen +4
The task of radio map estimation aims to generate a dense representation of electromagnetic spectrum quantities, such as the received signal strength at each grid point within a ge…
Generative AI on SpectrumNet: An Open Benchmark of Multiband 3D Radio Maps
Shuhang Zhang, Shuai Jiang, Wanjie Lin +4
Radio map is an efficient demonstration for visually displaying the wireless signal coverage within a certain region. It has been considered to be increasingly helpful for the futu…
Large Models for Aerial Edges: An Edge-Cloud Model Evolution and Communication Paradigm
Shuhang Zhang, Qingyu Liu, Ke Chen +6
The future sixth-generation (6G) of wireless networks is expected to surpass its predecessors by offering ubiquitous coverage through integrated air-ground facility deployments in…