MultiModal Dataset for Machine Learning Applied to Telecommunications

Gather data to test telecommunication systems is an essential step to guarantee the quality of the product, but it can be a slow process and demand a good amount of effort. Having a ready dataset at disposal make things way easier and faster, allowing a developer to focus in more specific stuff. This paper presents an entire multimodal dataset with different kinds of information like: channel communication, urban traffic and obstacles position, got from two simulations made in two different city models: Beijing and Rosslyn. It also includes detailed information on how each data is stored.