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Radio environment maps (REMs) are a spatial reprentation of the wireless environment in a given area. They can be critical for network planning, especially in dynamic, ad-hoc environments. Typical ways of generating REMs like drive-testing are expensive and time consuming. In this line of research we investiage how a mobile platform, such as a UAV, can be used to dynamically sample the wireless environment and fuse that information with additional sensors such as cameras using machine learning to build REMs quickly and accurately "on-the-fly."

An example environment (left) with buildings of varying heights and the corresponding REM (right) is shown below.

example rem


  • 2024 IEEE Infocom (to appear) Online Radio Environment Map Creation via UAV Vision for Aerial Networks [pdf]