Liu, M and Zhang, L orcid.org/0000-0002-4535-3200 (2020) Graph colour-based resource allocation for relay-assisted D2D underlay communications. IET Communications, 14 (16). pp. 2701-2708. ISSN 1751-8628
Abstract
Relay-assisted device-to-device (D2D) communications have been proposed as a supplement for direct D2D communications to enhance traffic offloading capacity. In this study, the authors propose a joint mode selection, relay selection and resource allocation for relay-assisted D2D communications. They aim at maximising the overall system throughput while guaranteeing the power limitation and signal-to-noise-and-interference ratios of all cellular and active D2D links. Since this optimisation is NP-hard, they then propose a graph colour-based resource allocation algorithm to effectively solve it. Simulation results show that the proposed algorithm can produce close-to-optimal performance with acceptable computational complexity.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Institution of Engineering and Technology. This is an author produced version of an article published in IET Communications. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | resource allocation; optimisation; graph colouring; cellular radio; relay networks (telecommunication); mobile radio; telecommunication traffic; signal‐to‐noise‐and‐interference ratios; relay‐assisted D2D communications; relay selection; joint mode selection; traffic offloading capacity; direct D2D communications; device‐to‐device communications; relay‐assisted D2D underlay communications; graph colour‐based resource allocation algorithm; active D2D links; cellular D2D links |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 14 Aug 2020 13:05 |
Last Modified: | 27 Jul 2022 08:26 |
Status: | Published |
Publisher: | Institution of Engineering and Technology |
Identification Number: | 10.1049/iet-com.2019.1281 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:164347 |