Scalable Multi-Modal Learning for Cross-Link Channel Prediction in Massive IoT Networks-Reference-Cited by-同舟云学术

Scalable Multi-Modal Learning for Cross-Link Channel Prediction in Massive IoT Networks

Published:2023-10-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing
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Author:

Cho Kun Woo¹^ORCID,Cominelli Marco²^ORCID,Gringoli Francesco²^ORCID,Widmer Joerg³^ORCID,Jamieson Kyle⁴^ORCID

Affiliation:

1. Princeton University, Princeton, USA

2. University of Brescia/CNIT, Brescia, Italy

3. IMDEA Networks, Madrid, Spain

4. Princeton University, Princeton, United States of America

Funder

National Science Foundation

Publisher

ACM

Reference22 articles.

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2. Fast and Efficient Cross Band Channel Prediction Using Machine Learning

3. Boris Bellalta . 2016. IEEE 802.11 ax : High-efficiency WLANs . IEEE wireless communications 23, 1 ( 2016 ), 38--46. Boris Bellalta. 2016. IEEE 802.11 ax: High-efficiency WLANs. IEEE wireless communications 23, 1 (2016), 38--46.

4. AX-CSI

5. Daniel Halperin , Wenjun Hu , Anmol Sheth , and David Wetherall . 2010. Predictable 802.11 packet delivery from wireless channel measurements. ACM SIGCOMM computer communication review 40, 4 ( 2010 ), 159--170. Daniel Halperin, Wenjun Hu, Anmol Sheth, and David Wetherall. 2010. Predictable 802.11 packet delivery from wireless channel measurements. ACM SIGCOMM computer communication review 40, 4 (2010), 159--170.