Proactive Resilience in 1-2-1 Networks

Mine Gokce Dogan; Martina Cardone; Christina Fragouli

doi:10.1109/ISIT50566.2022.9834416

Proactive Resilience in 1-2-1 Networks

Mine Gokce Dogan, Martina Cardone, Christina Fragouli

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

Millimeter Wave (mmWave) (and beyond) is expected to play an increasingly important role in our wireless infrastructure by expanding the available spectrum and enabling multi-gigabit services. Despite the promising aspects of mmWave communication, mmWave links are highly sensitive to blockage. In this paper, we develop proactive transmission mechanisms that suitably distribute the traffic across multiple paths in the mmWave network, with the two-fold objective of ensuring resilience against link blockages and achieve high end-to-end packet delivery rate. We present examples of resilience-capacity trade-off curves and show that there exist network topologies for which the worst-case and average approximate capacities are achieved by activating overlapping paths. We also show that this can provide additional benefits, such as decreasing the variance of the achieved rate.

Original language	English (US)
Title of host publication	2022 IEEE International Symposium on Information Theory, ISIT 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3220-3225
Number of pages	6
ISBN (Electronic)	9781665421591
DOIs	https://doi.org/10.1109/ISIT50566.2022.9834416
State	Published - 2022
Event	2022 IEEE International Symposium on Information Theory, ISIT 2022 - Espoo, Finland Duration: Jun 26 2022 → Jul 1 2022

Publication series

Name	IEEE International Symposium on Information Theory - Proceedings
Volume	2022-June
ISSN (Print)	2157-8095

Conference

Conference	2022 IEEE International Symposium on Information Theory, ISIT 2022
Country/Territory	Finland
City	Espoo
Period	6/26/22 → 7/1/22

Bibliographical note

Funding Information:
The work of M.G. Dogan and C. Fragouli was supported in part by the Army Research Laboratory under Co-Operative Agreement W911NF-17-2-0196 and by the U.S. National Science Foundation under Grant CNS-2146838. The work of M. Cardone was supported in part by the U.S. National Science Foundation under Grants CCF-2045237 and CNS-2146838.

Publisher Copyright:
© 2022 IEEE.

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Proactive Resilience in 1-2-1 Networks. / Dogan, Mine Gokce; Cardone, Martina; Fragouli, Christina.
2022 IEEE International Symposium on Information Theory, ISIT 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 3220-3225 (IEEE International Symposium on Information Theory - Proceedings; Vol. 2022-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Dogan, MG, Cardone, M & Fragouli, C 2022, Proactive Resilience in 1-2-1 Networks. in 2022 IEEE International Symposium on Information Theory, ISIT 2022. IEEE International Symposium on Information Theory - Proceedings, vol. 2022-June, Institute of Electrical and Electronics Engineers Inc., pp. 3220-3225, 2022 IEEE International Symposium on Information Theory, ISIT 2022, Espoo, Finland, 6/26/22. https://doi.org/10.1109/ISIT50566.2022.9834416

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abstract = "Millimeter Wave (mmWave) (and beyond) is expected to play an increasingly important role in our wireless infrastructure by expanding the available spectrum and enabling multi-gigabit services. Despite the promising aspects of mmWave communication, mmWave links are highly sensitive to blockage. In this paper, we develop proactive transmission mechanisms that suitably distribute the traffic across multiple paths in the mmWave network, with the two-fold objective of ensuring resilience against link blockages and achieve high end-to-end packet delivery rate. We present examples of resilience-capacity trade-off curves and show that there exist network topologies for which the worst-case and average approximate capacities are achieved by activating overlapping paths. We also show that this can provide additional benefits, such as decreasing the variance of the achieved rate.",

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note = "Funding Information: The work of M.G. Dogan and C. Fragouli was supported in part by the Army Research Laboratory under Co-Operative Agreement W911NF-17-2-0196 and by the U.S. National Science Foundation under Grant CNS-2146838. The work of M. Cardone was supported in part by the U.S. National Science Foundation under Grants CCF-2045237 and CNS-2146838. Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Symposium on Information Theory, ISIT 2022 ; Conference date: 26-06-2022 Through 01-07-2022",

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Proactive Resilience in 1-2-1 Networks

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