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Low-Latency MAC Design for Pairwise Random Networks
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS.
Korea University, Seoul, South Korea.
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS.ORCID iD: 0000-0001-8517-7996
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS.ORCID iD: 0000-0003-0525-4491
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2022 (English)In: 95th IEEE Vehicular Technology Conference - Spring, VTC 2022, Institute of Electrical and Electronics Engineers (IEEE) , 2022Conference paper, Published paper (Refereed)
Abstract [en]

Feasibility of using unlicensed spectrum for ultra reliable low latency communications (URLLC) is still a question for beyond 5G wireless networks. Low latency access to the channel and efficiently sharing spectrum among the multiple users are the main requirements for exploiting unlicensed spectrum for URLLC. Listen before talk and back-off procedures implemented to avoid the collisions in channel access hinder the low latency communication. In this paper, we propose a novel low-latency medium access control (MAC) scheme based on the collision resolution for a pairwise random wireless network. We use geometric sequence decomposition for collision resolution among the competing users. This enables the system to tackle collisions and thus removing the need for carrier sensing and back-off procedures. This saves time in obtaining access to the channel and improves the efficiency of the system. We implement our approach in the synchronized time slotted system and show that it yields significant improvement over existing MAC schemes.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022.
Series
IEEE Vehicular Technology Conference VTC
Keywords [en]
MAC, Industry 4.0, CSMA-CA, URLLC, GSD-MA, GSD-ST
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-320998DOI: 10.1109/VTC2022-Spring54318.2022.9860744ISI: 000861825801170Scopus ID: 2-s2.0-85137796229OAI: oai:DiVA.org:kth-320998DiVA, id: diva2:1708512
Conference
IEEE 95th Vehicular Technology Conference: (VTC-Spring), JUN 19-22, 2022, Helsinki, FINLAND
Note

Part of proceedings: ISBN 978-1-6654-8243-1

QC 20221104

Available from: 2022-11-04 Created: 2022-11-04 Last updated: 2022-11-04Bibliographically approved

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Meer, Irshad AhmadOzger, MustafaCavdar, CicekSung, Ki Won

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