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arXiv · 2211.09769

DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Dataset

Ahmed Alkhateeb·Gouranga Charan·Tawfik Osman·Andrew Hredzak·João Morais·Umut Demirhan·Nikhil Srinivas
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Abstract

This article presents the DeepSense 6G dataset, which is a large-scale dataset based on real-world measurements of co-existing multi-modal sensing and communication data. The DeepSense 6G dataset is built to advance deep learning research in a wide range of applications in the intersection of multi-modal sensing, communication, and positioning. This article provides a detailed overview of the DeepSense dataset structure, adopted testbeds, data collection and processing methodology, deployment scenarios, and example applications, with the objective of facilitating the adoption and reproducibility of multi-modal sensing and communication datasets.

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Ahmed Alkhateeb, Gouranga Charan, Tawfik Osman, Andrew Hredzak, João Morais, Umut Demirhan, Nikhil Srinivas. 2022-11-17. DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Dataset. https://arxiv.org/abs/2211.09769

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