Energy Consumption Minimization with SNR Constraint for Wireless Powered Communication Networks

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...

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Veröffentlicht in:Sensors (Basel, Switzerland) Jg. 24; H. 17; S. 5535
Hauptverfasser: Shih, Kuei-Ping, Tsai, Yu-Sheng, Chen, Yen-Da, Wang, San-Yuan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Switzerland MDPI AG 27.08.2024
Schlagworte:
Communication
Communications networks
Energy consumption
Energy efficiency
Energy transfer
Harvest Then Transmit (HTT) protocol
Sensors
Simultaneous Wireless Information and Power Transfer (SWIPT)
SNR constraint
wireless energy transfer
Wireless Powered Communication Networks (WPCNs)
Simultaneous Wireless Information and Power Transfer (SWIPT)
Harvest Then Transmit (HTT) protocol
wireless energy transfer
SNR constraint
Wireless Powered Communication Networks (WPCNs)
ISSN:1424-8220, 1424-8220
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Zusammenfassung: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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ISSN:1424-8220
1424-8220
DOI:10.3390/s24175535