Radio Map

A radio map visually represents the spatial distribution of wireless signal strength within a geographical area, aiming to improve wireless network planning and resource management. Current research focuses on generating high-resolution maps using techniques like generative adversarial networks (GANs) and graph neural networks (GNNs), often incorporating data from diverse sources such as drones, crowdsourced measurements, and existing city maps to overcome challenges posed by sparse sampling. These advancements are crucial for optimizing 5G and 6G networks, enabling applications such as autonomous navigation, precise localization, and efficient resource allocation in diverse environments.