Energy Efficiency Maximization for Multi-Cell Multi-Carrier NOMA Networks
As energy efficiency (EE) is a key performance indicator for the future wireless network, it has become a significant research field in communication networks. In this paper, we consider multi-cell multi-carrier non-orthogonal multiple access (MCMC-NOMA) networks and investigate the EE maximization...
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MDPI AG
2020-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/22/6642 |
| _version_ | 1797547379514146816 |
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| author | Abuzar B. M. Adam Xiaoyu Wan Zhengqiang Wang |
| author_facet | Abuzar B. M. Adam Xiaoyu Wan Zhengqiang Wang |
| author_sort | Abuzar B. M. Adam |
| collection | DOAJ |
| description | As energy efficiency (EE) is a key performance indicator for the future wireless network, it has become a significant research field in communication networks. In this paper, we consider multi-cell multi-carrier non-orthogonal multiple access (MCMC-NOMA) networks and investigate the EE maximization problem. As the EE maximization is a mixed-integer nonlinear programming NP-hard problem, it is difficult to solve directly by traditional optimization such as convex optimization. To handle the EE maximization problem, we decouple it into two subproblems. The first subproblem is user association, where we design a matching-based framework to perform the user association and the subcarriers’ assignment. The second subproblem is the power allocation problem for each user to maximize the EE of the systems. Since the EE maximization problem is still non-convex with respect to the power domain, we propose a two stage quadratic transform with both a single ratio quadratic and multidimensional quadratic transform to convert it into an equivalent convex optimization problem. The power allocation is obtained by iteratively solving the convex problem. Finally, the numerical results demonstrate that the proposed method could achieve better EE compared to existing approaches for non-orthogonal multiple access (NOMA) and considerably outperforms the fractional transmit power control (FTPC) scheme for orthogonal multiple access (OMA). |
| first_indexed | 2024-03-10T14:43:24Z |
| format | Article |
| id | doaj.art-e75b00290eeb41a1a8f57a3d7c73add4 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T14:43:24Z |
| publishDate | 2020-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-e75b00290eeb41a1a8f57a3d7c73add42023-11-20T21:38:48ZengMDPI AGSensors1424-82202020-11-012022664210.3390/s20226642Energy Efficiency Maximization for Multi-Cell Multi-Carrier NOMA NetworksAbuzar B. M. Adam0Xiaoyu Wan1Zhengqiang Wang2School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaSchool of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaSchool of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaAs energy efficiency (EE) is a key performance indicator for the future wireless network, it has become a significant research field in communication networks. In this paper, we consider multi-cell multi-carrier non-orthogonal multiple access (MCMC-NOMA) networks and investigate the EE maximization problem. As the EE maximization is a mixed-integer nonlinear programming NP-hard problem, it is difficult to solve directly by traditional optimization such as convex optimization. To handle the EE maximization problem, we decouple it into two subproblems. The first subproblem is user association, where we design a matching-based framework to perform the user association and the subcarriers’ assignment. The second subproblem is the power allocation problem for each user to maximize the EE of the systems. Since the EE maximization problem is still non-convex with respect to the power domain, we propose a two stage quadratic transform with both a single ratio quadratic and multidimensional quadratic transform to convert it into an equivalent convex optimization problem. The power allocation is obtained by iteratively solving the convex problem. Finally, the numerical results demonstrate that the proposed method could achieve better EE compared to existing approaches for non-orthogonal multiple access (NOMA) and considerably outperforms the fractional transmit power control (FTPC) scheme for orthogonal multiple access (OMA).https://www.mdpi.com/1424-8220/20/22/6642energy efficiencyfractional programmingnon-orthogonal multiple accessquadratic transformuser association |
| spellingShingle | Abuzar B. M. Adam Xiaoyu Wan Zhengqiang Wang Energy Efficiency Maximization for Multi-Cell Multi-Carrier NOMA Networks Sensors energy efficiency fractional programming non-orthogonal multiple access quadratic transform user association |
| title | Energy Efficiency Maximization for Multi-Cell Multi-Carrier NOMA Networks |
| title_full | Energy Efficiency Maximization for Multi-Cell Multi-Carrier NOMA Networks |
| title_fullStr | Energy Efficiency Maximization for Multi-Cell Multi-Carrier NOMA Networks |
| title_full_unstemmed | Energy Efficiency Maximization for Multi-Cell Multi-Carrier NOMA Networks |
| title_short | Energy Efficiency Maximization for Multi-Cell Multi-Carrier NOMA Networks |
| title_sort | energy efficiency maximization for multi cell multi carrier noma networks |
| topic | energy efficiency fractional programming non-orthogonal multiple access quadratic transform user association |
| url | https://www.mdpi.com/1424-8220/20/22/6642 |
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