RadioGAT: A Model-Based Learning Framework for Radio Map Reconstruction via Graph Attention Networks
Abstract: Reconstructing accurate radio maps is crucial for optimizing wireless network performance and managing spectrum efficiently. In real-world scenarios, radio map data, often sparse and ...
Abstract: Millimeter-wave network deployment is an essential and ongoing problem due to the limited coverage and expensive network infrastructure. In this work, we solve a joint network deployment and ...
In a disaster, there are often massive network outages. When the Ahr, a small river in Rhineland-Palatinate, burst its banks ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results