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

Ahmed Alkhateeb, Gouranga Charan, Tawfik Osman, Andrew Hredzak, Joao Morais, Umut Demirhan, Nikhil Srinivas

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

This article presents the DeepSense 6G data-set, which is a large-scale dataset based on real-world measurements of co-existing multi-modal sensing and communication data. The Deep-Sense 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.

Original languageEnglish (US)
Pages (from-to)122-128
Number of pages7
JournalIEEE Communications Magazine
Volume61
Issue number9
DOIs
StatePublished - Sep 1 2023

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Computer Science Applications

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