Multiantenna Clustering Collaboration for WPCNs Based on Nonlinear EH
This article considers a wireless-powered communication network (WPCN) composed of a multiantenna hybrid access point (HAP) based on nonlinear energy harvesting (EH). To improve some distant WDs’ throughput performance, one of them is allowed to be selected as a cluster head (CH) to help transfer in...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2023-01-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | http://dx.doi.org/10.1155/2023/9948725 |
| _version_ | 1827079782640123904 |
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| author | Lina Yuan Huajun Chen Anran Zhou Rong Wang Xianli Wen |
| author_facet | Lina Yuan Huajun Chen Anran Zhou Rong Wang Xianli Wen |
| author_sort | Lina Yuan |
| collection | DOAJ |
| description | This article considers a wireless-powered communication network (WPCN) composed of a multiantenna hybrid access point (HAP) based on nonlinear energy harvesting (EH). To improve some distant WDs’ throughput performance, one of them is allowed to be selected as a cluster head (CH) to help transfer information from other cluster members (CMs). Nevertheless, the proposed clustering collaboration’s performance is essentially restricted by the CH’s energy-intensive consumption (EC), which requires to transfer every WDs’ information, covering its own. In order to figure out the question, the HAP’s energy beamforming (EB) capability with multiple antennas is utilized that can concentrate greater transmission power into the CH to equilibrate its EC to assist other WDs. To be specific, each WD’s throughput performance is firstly derived under the proposed approach. A high-efficiency optimization algorithm for addressing cooperative optimization problem is put forward. In addition, the simulations are carried out in the actual network environment, and the results demonstrate that our proposed clustering collaboration with multiple antennas can validly enhance the WPCN’s throughput fairness based on nonlinear EH. |
| first_indexed | 2024-03-10T10:26:28Z |
| format | Article |
| id | doaj.art-8fc020c1c5bf494987effcba7a8d78d7 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2025-03-20T02:51:02Z |
| publishDate | 2023-01-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-8fc020c1c5bf494987effcba7a8d78d72024-10-03T07:27:08ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772023-01-01202310.1155/2023/9948725Multiantenna Clustering Collaboration for WPCNs Based on Nonlinear EHLina Yuan0Huajun Chen1Anran Zhou2Rong Wang3Xianli Wen4School of Data ScienceSchool of AutomationCollege of Computer ScienceEngineering Technology Research Institute of Xinjiang Oilfield CompanyEngineering Technology Research Institute of Xinjiang Oilfield CompanyThis article considers a wireless-powered communication network (WPCN) composed of a multiantenna hybrid access point (HAP) based on nonlinear energy harvesting (EH). To improve some distant WDs’ throughput performance, one of them is allowed to be selected as a cluster head (CH) to help transfer information from other cluster members (CMs). Nevertheless, the proposed clustering collaboration’s performance is essentially restricted by the CH’s energy-intensive consumption (EC), which requires to transfer every WDs’ information, covering its own. In order to figure out the question, the HAP’s energy beamforming (EB) capability with multiple antennas is utilized that can concentrate greater transmission power into the CH to equilibrate its EC to assist other WDs. To be specific, each WD’s throughput performance is firstly derived under the proposed approach. A high-efficiency optimization algorithm for addressing cooperative optimization problem is put forward. In addition, the simulations are carried out in the actual network environment, and the results demonstrate that our proposed clustering collaboration with multiple antennas can validly enhance the WPCN’s throughput fairness based on nonlinear EH.http://dx.doi.org/10.1155/2023/9948725 |
| spellingShingle | Lina Yuan Huajun Chen Anran Zhou Rong Wang Xianli Wen Multiantenna Clustering Collaboration for WPCNs Based on Nonlinear EH International Journal of Distributed Sensor Networks |
| title | Multiantenna Clustering Collaboration for WPCNs Based on Nonlinear EH |
| title_full | Multiantenna Clustering Collaboration for WPCNs Based on Nonlinear EH |
| title_fullStr | Multiantenna Clustering Collaboration for WPCNs Based on Nonlinear EH |
| title_full_unstemmed | Multiantenna Clustering Collaboration for WPCNs Based on Nonlinear EH |
| title_short | Multiantenna Clustering Collaboration for WPCNs Based on Nonlinear EH |
| title_sort | multiantenna clustering collaboration for wpcns based on nonlinear eh |
| url | http://dx.doi.org/10.1155/2023/9948725 |
| work_keys_str_mv | AT linayuan multiantennaclusteringcollaborationforwpcnsbasedonnonlineareh AT huajunchen multiantennaclusteringcollaborationforwpcnsbasedonnonlineareh AT anranzhou multiantennaclusteringcollaborationforwpcnsbasedonnonlineareh AT rongwang multiantennaclusteringcollaborationforwpcnsbasedonnonlineareh AT xianliwen multiantennaclusteringcollaborationforwpcnsbasedonnonlineareh |