Sanusi, Idayat O., Nasr, Karim M. ORCID: https://orcid.org/0000-0002-8604-6274 and Moessner, Klaus (2021) Radio resource management approaches for reliable Device-to-Device (D2D) communication in wireless industrial applications. IEEE Transactions on Cognitive Communications and Networking, 7 (3). pp. 905-916. ISSN 2332-7731 (Online) (doi:10.1109/TCCN.2020.3032679)

Preview

PDF (Author's Accepted Manuscript) 49838 NASR_Radio_Resource_Management_Approaches_For_Reliable_Device-to-Device_D2D_Communication_In_Wireless_Industrial_Applications_(AAM)_2020.pdf - Accepted Version Download (405kB) | Preview

Abstract

The manufacturing industry is regarded as one of the most demanding verticals with respect to URLLC requirements. A Device-to-Device (D2D) communication system is a key enabler that has been introduced to support URLLC. To enhance spectrum utilisation, D2D links can share access of radio spectrum resources occupied by cellular users. Spectrum reuse may result in performance degradation due to mutual co-channel interference of co-existing cellular and D2D users. Resource sharing in a D2D-based cellular network for wireless industrial applications is investigated in this article. The presented schemes aim to maximise the overall system throughput while maintaining the Quality of Service/Experience (QoS/QoE) requirements. Interference is managed by jointly considering admission and power control based on the relative distance between devices. A priced-Deferred Acceptance (p-DA) scheme with an incentive-based stability is developed to match D2D users to cellular resources. Numerical simulations show that the p-DA

Item Type:	Article
Additional Information:	“© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.” - MP
Uncontrolled Keywords:	URLLC, distributed algorithm, game theory, radio spectrum management, 5G and beyond, distributed algorithm, game theory, radio spectrum management, 5G and beyond
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 11:50
URI:	http://gala.gre.ac.uk/id/eprint/49838

Actions (login required)

View Item

Downloads