TY - JOUR
T1 - DeepSense 6G
T2 - A Large-Scale Real-World Multi-Modal Sensing and Communication Dataset
AU - Alkhateeb, Ahmed
AU - Charan, Gouranga
AU - Osman, Tawfik
AU - Hredzak, Andrew
AU - Morais, Joao
AU - Demirhan, Umut
AU - Srinivas, Nikhil
N1 - Publisher Copyright:
© 1979-2012 IEEE.
PY - 2023/9/1
Y1 - 2023/9/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85161483453&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85161483453&partnerID=8YFLogxK
U2 - 10.1109/MCOM.006.2200730
DO - 10.1109/MCOM.006.2200730
M3 - Article
AN - SCOPUS:85161483453
SN - 0163-6804
VL - 61
SP - 122
EP - 128
JO - IEEE Communications Magazine
JF - IEEE Communications Magazine
IS - 9
ER -