Xu, Peng and Cumanan, Kanapathippillai orcid.org/0000-0002-9735-7019 (2017) Optimal Power Allocation Scheme for Non-Orthogonal Multiple Access with α-Fairness. IEEE Journal on Selected Areas in Communication. 7986959. pp. 2357-2369. ISSN 1558-0008
Abstract
This paper investigates the optimal power allocation scheme for sum throughput maximization of non-orthogonal multiple access (NOMA) system with α-fairness. In contrast to the existing fairness NOMA models, α-fairness can only utilize a single scalar to achieve different user fairness levels. Two different channel state information at the transmitter (CSIT) assumptions are considered, namely, statistical and perfect CSIT. For statistical CSIT, fixed target data rates are predefined, and the power allocation problem is solved for sum throughput maximization with α-fairness, through characterizing several properties of the optimal power allocation solution. For perfect CSIT, the optimal power allocation is determined to maximize the instantaneous sum rate with α-fairness, where user rates are adapted according to the instantaneous channel state information (CSI). In particular, a simple alternate optimization algorithm is proposed, which is demonstrated to yield the optimal solution. Numerical results reveal that, at the same fairness level, NOMA significantly outperforms the conventional orthogonal multiple access for both the scenarios with statistical and perfect CSIT.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. |
Keywords: | ergodic rate,Non-orthogonal multiple access,outage probability,power allocation,α-fairness |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
Depositing User: | Pure (York) |
Date Deposited: | 12 Jul 2017 09:30 |
Last Modified: | 16 Oct 2024 13:54 |
Published Version: | https://doi.org/10.1109/JSAC.2017.2729780 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1109/JSAC.2017.2729780 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:118886 |
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