MultiModal Dataset for Machine Learning Applied to Telecommunications

Arthur M Nascimento, Walter Frazão, Ailton P de Oliveira, Diego de Azevedo Gomes, Aldebaro Klautau

DOI: 10.14209/SBRT.2020.1570661615

Evento: XXXVIII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2020)

Keywords: 5G deep learning ray-tracing LIDAR

Abstract

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.

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