Liu, M and Zhang, L (2020) Resource Allocation for D2D Underlay Communications With Proportional Fairness Using Iterative-Based Approach. IEEE Access, 8. pp. 143787-143801. ISSN 2169-3536
Abstract
In this paper, we develop a novel resource allocation scheme that aims to improve the system fairness, with minimum SINR (Signal to Interference and Noise Ratio) constraints and power limits for the Device-to-Device (D2D) underlay communications. Since the evaluation of the system fairness is different for t=1 and t≥2 , where t is the scheduling period, we divide our joint optimization problem into two cases: t=1 and t≥2 . For each case, we decompose the joint optimization problem into two sub-problems: power and channel allocations. We then propose the corresponding power allocation algorithm for each case. By introducing virtual D2D links, we model the channel allocation as a 3-D (3-Dimensional) assignment problem, which is effectively solved by our proposed 2-D (2-Dimensional) iterative method. Simulation results show that our proposed iterative method can produce the close-to-optimal performance with low computational complexity. Moreover, comparing with existing schemes, our proposed scheme can not only enhance the system fairness but also improve the overall throughput.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
Keywords: | D2D underlay communications; V2V communications; resource allocation; proportional fairness (PF) |
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 13:10 |
Last Modified: | 14 Aug 2020 13:10 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Identification Number: | 10.1109/access.2020.3010091 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:164345 |