Power Allocation Intelligent Optimization for Mobile NOMA Communication System
Non-orthogonal multiple access (NOMA) technology can greatly improve user access and spectral efficiency. This paper considers the power allocation optimization problem of a two-user mobile NOMA communication system. Firstly, a mobile NOMA communication system model is established. Then, we analyze...
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Language: | English |
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Wiley
2022-01-01
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Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2022/5838186 |
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author | Xiaobin Fu Zhen Tang Pingping Xiao |
author_facet | Xiaobin Fu Zhen Tang Pingping Xiao |
author_sort | Xiaobin Fu |
collection | DOAJ |
description | Non-orthogonal multiple access (NOMA) technology can greatly improve user access and spectral efficiency. This paper considers the power allocation optimization problem of a two-user mobile NOMA communication system. Firstly, a mobile NOMA communication system model is established. Then, we analyze the outage probability (OP) of mobile NOMA communication system and the relationship between OP performance and user power allocation coefficient. Finally, the optimization objective function is established, and a power allocation optimization algorithm employing monarch butterfly optimization (MBO) is proposed. Compared with firefly algorithm and artificial fish swarm algorithm, the efficiency of MBO algorithm is increased by 20.7%, which can better improve the OP performance. |
format | Article |
id | doaj-art-64e694ccacb64a03a6cc4825cdebf4d3 |
institution | Kabale University |
issn | 2042-3195 |
language | English |
publishDate | 2022-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Advanced Transportation |
spelling | doaj-art-64e694ccacb64a03a6cc4825cdebf4d32025-02-03T05:50:03ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/5838186Power Allocation Intelligent Optimization for Mobile NOMA Communication SystemXiaobin Fu0Zhen Tang1Pingping Xiao2College of Physical Science and EngineeringCollege of Physical Science and EngineeringCollege of Physical Science and EngineeringNon-orthogonal multiple access (NOMA) technology can greatly improve user access and spectral efficiency. This paper considers the power allocation optimization problem of a two-user mobile NOMA communication system. Firstly, a mobile NOMA communication system model is established. Then, we analyze the outage probability (OP) of mobile NOMA communication system and the relationship between OP performance and user power allocation coefficient. Finally, the optimization objective function is established, and a power allocation optimization algorithm employing monarch butterfly optimization (MBO) is proposed. Compared with firefly algorithm and artificial fish swarm algorithm, the efficiency of MBO algorithm is increased by 20.7%, which can better improve the OP performance.http://dx.doi.org/10.1155/2022/5838186 |
spellingShingle | Xiaobin Fu Zhen Tang Pingping Xiao Power Allocation Intelligent Optimization for Mobile NOMA Communication System Journal of Advanced Transportation |
title | Power Allocation Intelligent Optimization for Mobile NOMA Communication System |
title_full | Power Allocation Intelligent Optimization for Mobile NOMA Communication System |
title_fullStr | Power Allocation Intelligent Optimization for Mobile NOMA Communication System |
title_full_unstemmed | Power Allocation Intelligent Optimization for Mobile NOMA Communication System |
title_short | Power Allocation Intelligent Optimization for Mobile NOMA Communication System |
title_sort | power allocation intelligent optimization for mobile noma communication system |
url | http://dx.doi.org/10.1155/2022/5838186 |
work_keys_str_mv | AT xiaobinfu powerallocationintelligentoptimizationformobilenomacommunicationsystem AT zhentang powerallocationintelligentoptimizationformobilenomacommunicationsystem AT pingpingxiao powerallocationintelligentoptimizationformobilenomacommunicationsystem |