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Energy Consumption Minimization with SNR Constraint for Wireless Powered Communication Networks.
Shih, Kuei-Ping; Tsai, Yu-Sheng; Chen, Yen-Da; Wang, San-Yuan.
Afiliación
  • Shih KP; Department of Computer Science and Information Engineering, Tamkang University, New Taipei City 251301, Taiwan.
  • Tsai YS; Department of Computer Science and Information Engineering, Tamkang University, New Taipei City 251301, Taiwan.
  • Chen YD; Department of Computer Information and Network Engineering, Lunghwa University of Science and Technology, Taoyuan 333326, Taiwan.
  • Wang SY; Department of Information Engineering, I-Shou University, Kaohsiung 811022, Taiwan.
Sensors (Basel) ; 24(17)2024 Aug 27.
Article en En | MEDLINE | ID: mdl-39275449
ABSTRACT
The article addresses the energy consumption minimization problem in wireless powered communication networks (WPCNs) and proposes a time allocation scheme, named DaTA, which is based on the Different Target Simultaneous Wireless Information and Power Transfer (DT-SWIPT) scheme such that the wireless station can share the remaining energy after transmission to the Hybrid Access Point (HAP) to those who have not transmitted to the HAP to minimize the energy consumption of the WPCN. In addition to proposing a new frame structure, the article also considers the Signal-to-Noise (SNR) constraint to guarantee that the HAP can successfully receive data from wireless stations. In the article, the problem of minimization of energy consumption is formulated as a nonlinear programming model. We employ the SQP (Sequential Quadratic Programming) algorithm to figure out the optimal solution. Moreover, a heuristic method is proposed as well to obtain a near-optimal solution in a shorter time. The simulation results showed that the proposed scheme outperforms the related work in terms of energy consumption and energy efficiency.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Suiza