Projects per year
Abstract
Collaborative and autonomous communications among devices are expected to transform the digital world in the coming years. The device-to-device (D2D) sidelink communication has a great impetus to enable industrial Internet-of-things (IoT). However, the rapid growth of such networks and dynamic quality of service demands of user equipments require robust and efficient resource management. This paper addresses the issue of mode selection in D2D sidelink communications for industrial IoT applications. Specifically, we consider a finite channel blocklength transmission in order to cater for delay-sensitive industrial IoT applications. To improve the performance of the network, we employ a graph-theoretic approach for efficient mode selection. The simulation results of the proposed approach are compared with conventional heuristic approaches. The results demonstrate the feasibility of the proposed approach against the conventional approaches especially in terms of complexity and throughput.
Original language | English |
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Title of host publication | 2020 IEEE 92nd Vehicular Technology Conference, VTC 2020-Fall - Proceedings |
Publisher | IEEE |
ISBN (Electronic) | 978-1-7281-9484-4 |
DOIs | |
Publication status | Published - Nov 2020 |
MoE publication type | A4 Conference publication |
Event | IEEE Vehicular Technology Conference - Virtual, Online, Canada Duration: 18 Nov 2020 → 16 Dec 2020 Conference number: 92 |
Publication series
Name | IEEE Vehicular Technology Conference |
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ISSN (Print) | 1090-3038 |
ISSN (Electronic) | 2577-2465 |
Conference
Conference | IEEE Vehicular Technology Conference |
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Abbreviated title | VTC |
Country/Territory | Canada |
City | Virtual, Online |
Period | 18/11/2020 → 16/12/2020 |
Keywords
- Blocklength
- Industrial IoT
- Mode Selection
- Sidelink
Fingerprint
Dive into the research topics of 'Efficient Mode Selection for D2D Communication in Industrial IoT Networks'. Together they form a unique fingerprint.Projects
- 1 Finished
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5G-FORCE: 5G Finnish Open Research Collaboration Ecosystem
Costa Requena, J. (Principal investigator)
01/01/2019 → 31/03/2021
Project: Business Finland: Other research funding