Resource allocation for a reliable D2D enabled cellular network in factories of the future
Sanusi, Idayat O., Nasr, Karim M. ORCID: https://orcid.org/0000-0002-8604-6274 and Moessner, Klaus
(2020)
Resource allocation for a reliable D2D enabled cellular network in factories of the future.
In: 2020 European Conference on Networks and Communications (EuCNC), 15th - 18th June 2020, Dubrovnik, Croatia, 2020.
IEEE Xplore
.
Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey, pp. 89-93.
ISBN 978-1728143552; 978-1728143569
ISSN 2575-4912 (Print), 2475-6490 (Online)
(doi:10.1109/EuCNC48522.2020.9200942)
Preview |
PDF (Author's Accepted Manuscript)
49843 NASR_Resource_Allocation_For_A_Reliable_D2D_Enabled_Cellular_Network_In_Factories_Of_The_Future_(AAM)_2020.pdf - Accepted Version Download (630kB) | Preview |
Abstract
We investigate and compare two radio resource management (RRM) approaches for a reliable Device to Device (D2D) enabled cellular network in an industrial environment. The D2D links have target Quality of Service (QoS) requirements in terms of minimum reliability and data rate while cellular users have minimum throughput requirements. The aim is to maximise the overall system throughput while ensuring the minimum (QoS) requirements are met. Interference is managed by jointly considering admission and power control based on interdistances between devices. The deferred acceptance (DA) game theoretic algorithm is used to perform matching and compared to a centralised optimisation approach. Numerical simulations are used to verify the performances of the two algorithms.
Item Type: | Conference Proceedings |
---|---|
Title of Proceedings: | 2020 European Conference on Networks and Communications (EuCNC), 15th - 18th June 2020, Dubrovnik, Croatia, 2020 |
Uncontrolled Keywords: | Ultra Reliable Low Latency Communication (URLLC), Device-to-Device Communication (D2D), 5G and beyond, Industry 4.0, interference, resource management, reliability, Game Theory, signal to noise ratio, quality of service, optimisation , Device-to-Device Communication (D2D) , 5G and beyond , Industry 4.0 , Game Theory , Optimisation |
Subjects: | Q Science > Q Science (General) T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science Faculty of Engineering & Science > School of Engineering (ENG) |
Last Modified: | 26 Feb 2025 15:54 |
URI: | http://gala.gre.ac.uk/id/eprint/49843 |
Actions (login required)
![]() |
View Item |
Downloads
Downloads per month over past year