Liu, M, Zhang, L and You, Y (2019) Joint Power and Channel Allocation for Underlay D2D Communications with Proportional Fairness. In: Proceedings of the 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC). 15th International Wireless Communications & Mobile Computing Conference (IWCMC 2019), 24-28 Jun 2019, Tangier, Morocco. IEEE ISBN 978-1-5386-7748-3
Abstract
Since D2D (Device-to-Device) communication was proposed in cellular network as a new paradigm for enhancing network performance, many works have been done on resource allocation to improve system throughput and energy efficiency (EE) for underlay D2D communications. However, the system long-term average fairness as one of the system main performance metrics was rarely considered especially when users are moving. In this paper, we formulate the joint power and channel allocation problem aiming at maximizing the system fairness subject to the minimum required SINRs (Signal to Interference and Noise Ratios) and power consumption limits of cellular and active D2D links. To solve the above problem practically, we first decompose our original problem into two sub-problems (power and channel allocation), then solve them sequentially. Simulation results show that our proposed algorithm can dramatically enhance the system fairness and slightly improve the system throughput comparing with existing method.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019, 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. |
Keywords: | D2D communications; Power Allocation; Channel Allocation; Proportional Fairness |
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: | 18 Jul 2019 10:58 |
Last Modified: | 09 Aug 2019 06:08 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/IWCMC.2019.8766723 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:148697 |