An Enhanced MAX-SINR Strategy With Interference Leakage Power Constraint in Multiuser Multiantenna SWIPT Systems
Interference alignment (IA) is one of the most promising techniques to eliminate interference in multiuser multiantenna systems. Simultaneous wireless information and power transfer (SWIPT) technology is applied to harvest energy from radio frequency signals in green communications, while interferen...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9514823/ |
| _version_ | 1818650031788392448 |
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| author | Xiaorong Xu Yujun Wang Wei Feng Yingbiao Yao |
| author_facet | Xiaorong Xu Yujun Wang Wei Feng Yingbiao Yao |
| author_sort | Xiaorong Xu |
| collection | DOAJ |
| description | Interference alignment (IA) is one of the most promising techniques to eliminate interference in multiuser multiantenna systems. Simultaneous wireless information and power transfer (SWIPT) technology is applied to harvest energy from radio frequency signals in green communications, while interference signal is assumed to be utilized as energy supply source in SWIPT. In this paper, an enhanced maximum signal to interference plus noise ratio (MAX-SINR) strategy with interference leakage power constraint is proposed, which realizes a tradeoff between information transmission and interference leakage in multiuser multiantenna SWIPT systems. Optimization problem is formulated and a three-step optimization solution is proposed. Finally, the problem can be transformed to a standard semi-definite programming (SDP) to obtain optimal power splitting factor and system sum-rate (spectral efficiency). Simulation results are presented to show that system sum-rate performance is enhanced with the increasing of receiving antenna numbers. The tradeoff between sum-rate and the harvested energy can be realized via the proposed IA strategy. |
| first_indexed | 2024-12-17T01:43:45Z |
| format | Article |
| id | doaj.art-dd0d420798e04de69dfc1546f1c5f15f |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T01:43:45Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-dd0d420798e04de69dfc1546f1c5f15f2022-12-21T22:08:16ZengIEEEIEEE Access2169-35362021-01-01912783312784010.1109/ACCESS.2021.31054029514823An Enhanced MAX-SINR Strategy With Interference Leakage Power Constraint in Multiuser Multiantenna SWIPT SystemsXiaorong Xu0https://orcid.org/0000-0002-8434-5879Yujun Wang1Wei Feng2https://orcid.org/0000-0002-4803-9081Yingbiao Yao3https://orcid.org/0000-0001-7946-6070School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang, ChinaSchool of Communication Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang, ChinaSchool of Communication Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang, ChinaSchool of Communication Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang, ChinaInterference alignment (IA) is one of the most promising techniques to eliminate interference in multiuser multiantenna systems. Simultaneous wireless information and power transfer (SWIPT) technology is applied to harvest energy from radio frequency signals in green communications, while interference signal is assumed to be utilized as energy supply source in SWIPT. In this paper, an enhanced maximum signal to interference plus noise ratio (MAX-SINR) strategy with interference leakage power constraint is proposed, which realizes a tradeoff between information transmission and interference leakage in multiuser multiantenna SWIPT systems. Optimization problem is formulated and a three-step optimization solution is proposed. Finally, the problem can be transformed to a standard semi-definite programming (SDP) to obtain optimal power splitting factor and system sum-rate (spectral efficiency). Simulation results are presented to show that system sum-rate performance is enhanced with the increasing of receiving antenna numbers. The tradeoff between sum-rate and the harvested energy can be realized via the proposed IA strategy.https://ieeexplore.ieee.org/document/9514823/Interference alignment (IA)multiuser multiantenna SWIPT systemsMAX-SINRsemi-definite programming (SDP) |
| spellingShingle | Xiaorong Xu Yujun Wang Wei Feng Yingbiao Yao An Enhanced MAX-SINR Strategy With Interference Leakage Power Constraint in Multiuser Multiantenna SWIPT Systems IEEE Access Interference alignment (IA) multiuser multiantenna SWIPT systems MAX-SINR semi-definite programming (SDP) |
| title | An Enhanced MAX-SINR Strategy With Interference Leakage Power Constraint in Multiuser Multiantenna SWIPT Systems |
| title_full | An Enhanced MAX-SINR Strategy With Interference Leakage Power Constraint in Multiuser Multiantenna SWIPT Systems |
| title_fullStr | An Enhanced MAX-SINR Strategy With Interference Leakage Power Constraint in Multiuser Multiantenna SWIPT Systems |
| title_full_unstemmed | An Enhanced MAX-SINR Strategy With Interference Leakage Power Constraint in Multiuser Multiantenna SWIPT Systems |
| title_short | An Enhanced MAX-SINR Strategy With Interference Leakage Power Constraint in Multiuser Multiantenna SWIPT Systems |
| title_sort | enhanced max sinr strategy with interference leakage power constraint in multiuser multiantenna swipt systems |
| topic | Interference alignment (IA) multiuser multiantenna SWIPT systems MAX-SINR semi-definite programming (SDP) |
| url | https://ieeexplore.ieee.org/document/9514823/ |
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