{"title":"基于量子沙猫群优化的irs辅助SWIPT系统多目标联合资源分配","authors":"Wen Cui , Lin Zhao , Jianhua Cheng , Hongyuan Gao","doi":"10.1016/j.aeue.2025.155986","DOIUrl":null,"url":null,"abstract":"<div><div>Through utilizing intelligent reflecting surface (IRS), high passive beamforming gain can be achieved by utilizing massive low-cost passive components capable of reflecting signals with adjustable phase shifts, and thus significantly improve information transmission efficiency and rate energy balance of simultaneous wireless information and power transfer (SWIPT) system. Aiming at providing service to multiple information decoding receivers (IDRs) and energy harvesting receivers (EHRs), multiple-antenna access point (AP) is assisted by IRS in this paper. To solve the multi-objective optimization of received weighted sum-power of EHRs and sum-rate of IDRs in SWIPT system assisted by IRS technology, we have proposed quantum sand cat swarm optimization algorithm (QSCSO). Derived from quantum-inspired swarm intelligence, a novel mechanism is newly designed by the aid of quantum computing that is quantum sand cats improve the optimal behavior with the help of quantum rotation gate. In our IRS-assisted SWIPT system, to balance between energy harvesting and information transmission, through jointly allocation of reflect phase shifts at IRS and transmit precoders at AP, the sum-rate of IDRs and weighted sum-power of EHRs reception are simultaneously maximized by utilizing the newly proposed QSCSO. Through the newly proposed algorithm, the sum-rate of IDRs and weighted sum-power of EHRs reception are significantly improved in IRS-assisted SWIPT system based on experimental results compared with previous traditional optimization algorithms.</div></div>","PeriodicalId":50844,"journal":{"name":"Aeu-International Journal of Electronics and Communications","volume":"201 ","pages":"Article 155986"},"PeriodicalIF":3.2000,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-objective joint resource allocation for IRS-assisted SWIPT System with Quantum Sand Cat Swarm Optimization\",\"authors\":\"Wen Cui , Lin Zhao , Jianhua Cheng , Hongyuan Gao\",\"doi\":\"10.1016/j.aeue.2025.155986\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Through utilizing intelligent reflecting surface (IRS), high passive beamforming gain can be achieved by utilizing massive low-cost passive components capable of reflecting signals with adjustable phase shifts, and thus significantly improve information transmission efficiency and rate energy balance of simultaneous wireless information and power transfer (SWIPT) system. Aiming at providing service to multiple information decoding receivers (IDRs) and energy harvesting receivers (EHRs), multiple-antenna access point (AP) is assisted by IRS in this paper. To solve the multi-objective optimization of received weighted sum-power of EHRs and sum-rate of IDRs in SWIPT system assisted by IRS technology, we have proposed quantum sand cat swarm optimization algorithm (QSCSO). Derived from quantum-inspired swarm intelligence, a novel mechanism is newly designed by the aid of quantum computing that is quantum sand cats improve the optimal behavior with the help of quantum rotation gate. In our IRS-assisted SWIPT system, to balance between energy harvesting and information transmission, through jointly allocation of reflect phase shifts at IRS and transmit precoders at AP, the sum-rate of IDRs and weighted sum-power of EHRs reception are simultaneously maximized by utilizing the newly proposed QSCSO. Through the newly proposed algorithm, the sum-rate of IDRs and weighted sum-power of EHRs reception are significantly improved in IRS-assisted SWIPT system based on experimental results compared with previous traditional optimization algorithms.</div></div>\",\"PeriodicalId\":50844,\"journal\":{\"name\":\"Aeu-International Journal of Electronics and Communications\",\"volume\":\"201 \",\"pages\":\"Article 155986\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Aeu-International Journal of Electronics and Communications\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1434841125003279\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aeu-International Journal of Electronics and Communications","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1434841125003279","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Multi-objective joint resource allocation for IRS-assisted SWIPT System with Quantum Sand Cat Swarm Optimization
Through utilizing intelligent reflecting surface (IRS), high passive beamforming gain can be achieved by utilizing massive low-cost passive components capable of reflecting signals with adjustable phase shifts, and thus significantly improve information transmission efficiency and rate energy balance of simultaneous wireless information and power transfer (SWIPT) system. Aiming at providing service to multiple information decoding receivers (IDRs) and energy harvesting receivers (EHRs), multiple-antenna access point (AP) is assisted by IRS in this paper. To solve the multi-objective optimization of received weighted sum-power of EHRs and sum-rate of IDRs in SWIPT system assisted by IRS technology, we have proposed quantum sand cat swarm optimization algorithm (QSCSO). Derived from quantum-inspired swarm intelligence, a novel mechanism is newly designed by the aid of quantum computing that is quantum sand cats improve the optimal behavior with the help of quantum rotation gate. In our IRS-assisted SWIPT system, to balance between energy harvesting and information transmission, through jointly allocation of reflect phase shifts at IRS and transmit precoders at AP, the sum-rate of IDRs and weighted sum-power of EHRs reception are simultaneously maximized by utilizing the newly proposed QSCSO. Through the newly proposed algorithm, the sum-rate of IDRs and weighted sum-power of EHRs reception are significantly improved in IRS-assisted SWIPT system based on experimental results compared with previous traditional optimization algorithms.
期刊介绍:
AEÜ is an international scientific journal which publishes both original works and invited tutorials. The journal''s scope covers all aspects of theory and design of circuits, systems and devices for electronics, signal processing, and communication, including:
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network theory and circuit design
information theory, communication theory and techniques, modulation, source and channel coding
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optical communications
microwave theory and techniques, radar, sonar
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