Sum Rate Maximization for Intelligent Reflecting Surface-Assisted UAV-Enabled NOMA Network
In the next-generation network, intelligent reflecting surface (IRS), non-orthogonal multiple access (NOMA), and simultaneous wireless information and power transfer (SWIPT) are promising wireless communication techniques to effectively improve system sum rates. In traditional unmanned aerial vehicl...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-08-01
|
| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/12/17/3616 |
| _version_ | 1797582671643148288 |
|---|---|
| author | Songchao Chen Fang Liu Yuanan Liu |
| author_facet | Songchao Chen Fang Liu Yuanan Liu |
| author_sort | Songchao Chen |
| collection | DOAJ |
| description | In the next-generation network, intelligent reflecting surface (IRS), non-orthogonal multiple access (NOMA), and simultaneous wireless information and power transfer (SWIPT) are promising wireless communication techniques to effectively improve system sum rates. In traditional unmanned aerial vehicles (UAV) communication systems, the sum rate and coverage are greatly affected when there is an occlusion on the direct transmission link. To solve this problem, the IRS technology is introduced to improve the poor channel conditions. However, most of the previous research on IRS-assisted UAV to optimize system sum rate only considers frameworks that utilize the partially joint-combining techniques of IRS, NOMA, and SWIPT. In this paper, in order to further improve the sum rate of the system, we simultaneously integrate IRS, NOMA, and SWIPT technologies and establish a sum rate maximization optimization problem when the direct link is blocked. Then, an alternative optimization (AO) algorithm based on the maximizing system sum rate is proposed to solve the non-convex optimization problem, in which the IRS location and phase, the reflecting amplitude coefficient, UAV forwarding altitude, and power splitting factor are considered. To let the non-convex and non-linear function be transformed into a convex one, we first use an iterative approach to optimize the position of the IRS. After that, an optimization problem is constructed to maximize the system sum rate with the constraints of the IRS phase shifts, successful successive interference cancellation (SIC), maximum transmit power of base station (BS), and UAV. Numerical results show that the proposed algorithm outperforms the traditional orthogonal multiple access (OMA) and algorithms without IRS-assisted links in terms of the system sum rate. |
| first_indexed | 2024-03-10T23:24:46Z |
| format | Article |
| id | doaj.art-7f30a5469ac146e0ba6936b086f48faa |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T23:24:46Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-7f30a5469ac146e0ba6936b086f48faa2023-11-19T08:01:41ZengMDPI AGElectronics2079-92922023-08-011217361610.3390/electronics12173616Sum Rate Maximization for Intelligent Reflecting Surface-Assisted UAV-Enabled NOMA NetworkSongchao Chen0Fang Liu1Yuanan Liu2School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaSchool of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaSchool of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaIn the next-generation network, intelligent reflecting surface (IRS), non-orthogonal multiple access (NOMA), and simultaneous wireless information and power transfer (SWIPT) are promising wireless communication techniques to effectively improve system sum rates. In traditional unmanned aerial vehicles (UAV) communication systems, the sum rate and coverage are greatly affected when there is an occlusion on the direct transmission link. To solve this problem, the IRS technology is introduced to improve the poor channel conditions. However, most of the previous research on IRS-assisted UAV to optimize system sum rate only considers frameworks that utilize the partially joint-combining techniques of IRS, NOMA, and SWIPT. In this paper, in order to further improve the sum rate of the system, we simultaneously integrate IRS, NOMA, and SWIPT technologies and establish a sum rate maximization optimization problem when the direct link is blocked. Then, an alternative optimization (AO) algorithm based on the maximizing system sum rate is proposed to solve the non-convex optimization problem, in which the IRS location and phase, the reflecting amplitude coefficient, UAV forwarding altitude, and power splitting factor are considered. To let the non-convex and non-linear function be transformed into a convex one, we first use an iterative approach to optimize the position of the IRS. After that, an optimization problem is constructed to maximize the system sum rate with the constraints of the IRS phase shifts, successful successive interference cancellation (SIC), maximum transmit power of base station (BS), and UAV. Numerical results show that the proposed algorithm outperforms the traditional orthogonal multiple access (OMA) and algorithms without IRS-assisted links in terms of the system sum rate.https://www.mdpi.com/2079-9292/12/17/3616intelligent reflecting surfacenon-orthogonal multiple accessfull-duplexunmanned aerial vehiclessimultaneous wireless information and power transfer |
| spellingShingle | Songchao Chen Fang Liu Yuanan Liu Sum Rate Maximization for Intelligent Reflecting Surface-Assisted UAV-Enabled NOMA Network Electronics intelligent reflecting surface non-orthogonal multiple access full-duplex unmanned aerial vehicles simultaneous wireless information and power transfer |
| title | Sum Rate Maximization for Intelligent Reflecting Surface-Assisted UAV-Enabled NOMA Network |
| title_full | Sum Rate Maximization for Intelligent Reflecting Surface-Assisted UAV-Enabled NOMA Network |
| title_fullStr | Sum Rate Maximization for Intelligent Reflecting Surface-Assisted UAV-Enabled NOMA Network |
| title_full_unstemmed | Sum Rate Maximization for Intelligent Reflecting Surface-Assisted UAV-Enabled NOMA Network |
| title_short | Sum Rate Maximization for Intelligent Reflecting Surface-Assisted UAV-Enabled NOMA Network |
| title_sort | sum rate maximization for intelligent reflecting surface assisted uav enabled noma network |
| topic | intelligent reflecting surface non-orthogonal multiple access full-duplex unmanned aerial vehicles simultaneous wireless information and power transfer |
| url | https://www.mdpi.com/2079-9292/12/17/3616 |
| work_keys_str_mv | AT songchaochen sumratemaximizationforintelligentreflectingsurfaceassisteduavenablednomanetwork AT fangliu sumratemaximizationforintelligentreflectingsurfaceassisteduavenablednomanetwork AT yuananliu sumratemaximizationforintelligentreflectingsurfaceassisteduavenablednomanetwork |