Optimal energy-efficiency beamforming design for SWIPT-enabled sink in sensor cloud based on deep learning
To solve the problems of high complexity and poor real-time performance caused by traditional wireless resource management based on optimization methods, the energy efficiency maximization problem of sink node and its mathematical model were established for SWIPT-enabled sensor-cloud system, then th...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2021-07-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021131/ |
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| author | Zhe WANG Taoshen LI Lina GE Guifen ZHANG Min WU |
| author_facet | Zhe WANG Taoshen LI Lina GE Guifen ZHANG Min WU |
| author_sort | Zhe WANG |
| collection | DOAJ |
| description | To solve the problems of high complexity and poor real-time performance caused by traditional wireless resource management based on optimization methods, the energy efficiency maximization problem of sink node and its mathematical model were established for SWIPT-enabled sensor-cloud system, then the deep learning method was introduced to realize the solving and online decision-making with lower complexity and higher real-time performance.The mathematical model was transformed into a high-dimensional solvable form, and then a SWIFT-WMMSE algorithm with iterated forms was designed to solve optimal beamforming vector.The convergence of SWIPT-WMMSE algorithm was proved.Then, based on error propagation of DNN approximation, the scale design criteria for the DNN was deduced, and the approximation was realized through DNN training.Finally, the simulation results verify the effectiveness of SWIPT-WMMSE and DNN algorithm, as well as the approximation effect of DNN and its system performance gains. |
| format | Article |
| id | doaj-art-e810e90dd73247ebbcc72cd1cd921348 |
| institution | OA Journals |
| issn | 1000-436X |
| language | zho |
| publishDate | 2021-07-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-e810e90dd73247ebbcc72cd1cd9213482025-08-20T02:34:47ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2021-07-014217618859744136Optimal energy-efficiency beamforming design for SWIPT-enabled sink in sensor cloud based on deep learningZhe WANGTaoshen LILina GEGuifen ZHANGMin WUTo solve the problems of high complexity and poor real-time performance caused by traditional wireless resource management based on optimization methods, the energy efficiency maximization problem of sink node and its mathematical model were established for SWIPT-enabled sensor-cloud system, then the deep learning method was introduced to realize the solving and online decision-making with lower complexity and higher real-time performance.The mathematical model was transformed into a high-dimensional solvable form, and then a SWIFT-WMMSE algorithm with iterated forms was designed to solve optimal beamforming vector.The convergence of SWIPT-WMMSE algorithm was proved.Then, based on error propagation of DNN approximation, the scale design criteria for the DNN was deduced, and the approximation was realized through DNN training.Finally, the simulation results verify the effectiveness of SWIPT-WMMSE and DNN algorithm, as well as the approximation effect of DNN and its system performance gains.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021131/deep learningSWIPTsink nodeenergy efficiencybeamformingdeep natural network |
| spellingShingle | Zhe WANG Taoshen LI Lina GE Guifen ZHANG Min WU Optimal energy-efficiency beamforming design for SWIPT-enabled sink in sensor cloud based on deep learning Tongxin xuebao deep learning SWIPT sink node energy efficiency beamforming deep natural network |
| title | Optimal energy-efficiency beamforming design for SWIPT-enabled sink in sensor cloud based on deep learning |
| title_full | Optimal energy-efficiency beamforming design for SWIPT-enabled sink in sensor cloud based on deep learning |
| title_fullStr | Optimal energy-efficiency beamforming design for SWIPT-enabled sink in sensor cloud based on deep learning |
| title_full_unstemmed | Optimal energy-efficiency beamforming design for SWIPT-enabled sink in sensor cloud based on deep learning |
| title_short | Optimal energy-efficiency beamforming design for SWIPT-enabled sink in sensor cloud based on deep learning |
| title_sort | optimal energy efficiency beamforming design for swipt enabled sink in sensor cloud based on deep learning |
| topic | deep learning SWIPT sink node energy efficiency beamforming deep natural network |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021131/ |
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