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Power and Frequency Band Allocation Mechanisms for WPT System with Logarithmic-Based Nonlinear Energy Harvesting Model

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  • Jaeseob Han

    (School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea)

  • Seung-Hyun Jeon

    (Department of Computer Engineering, Daejeon University, Daejeon 35235, Republic of Korea)

  • Gyeong-Ho Lee

    (School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea)

  • Sangdon Park

    (School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea)

  • Jun-Kyun Choi

    (School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea)

Abstract

Wireless power transmission (WPT) is expected to play a crucial role in supporting the perpetual operations of Internet of Things (IoT) devices, thereby contributing significantly to IoT services. However, the development of efficient power allocation algorithms has remained a longstanding challenge. This paper addresses the aforementioned challenge by proposing a novel strategy, called energy poverty-based device selection (EPDS), in conjunction with energy beamforming, where orthogonal frequency bands are allocated to energy harvesting IoT devices (EHIs). To solve two power allocation problems, a logarithmic-based nonlinear energy harvesting model (NEHM) is introduced. The first problem tackled is the total received power maximization (TRPM), which is initially presented and, then, solved optimally in closed-form by incorporating Karush–Kuhn–Tucker (KKT) conditions with the modified water-filling algorithm. The second problem formulated is the common received power maximization (CRPM), which takes into account energy fairness considerations. To assess the proposed algorithms and gain insights into the effects of mobility, the mobility of EHIs is modeled as a one-dimensional random walk. Extensive numerical results are provided to validate the advantages of the proposed algorithms. Both the TRPM and CRPM algorithms exhibit exceptional performance in terms of total and minimum received energy, respectively. Furthermore, in comparison to round-robin scheduling, the EPDS demonstrates superior performance in terms of minimum received energy. This paper highlights the impact of the proposed energy harvesting (EH) model, demonstrating 12.68% and 3.69% higher values than the linear model for the minimum and total received energy, respectively.

Suggested Citation

  • Jaeseob Han & Seung-Hyun Jeon & Gyeong-Ho Lee & Sangdon Park & Jun-Kyun Choi, 2023. "Power and Frequency Band Allocation Mechanisms for WPT System with Logarithmic-Based Nonlinear Energy Harvesting Model," Sustainability, MDPI, vol. 15(13), pages 1-27, July.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10567-:d:1186980
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    References listed on IDEAS

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    1. Juncheng Hu & Gaochao Xu & Liang Hu & Shujing Li, 2023. "A Cooperative Transmission Scheme in Radio Frequency Energy-Harvesting WBANs," Sustainability, MDPI, vol. 15(10), pages 1-13, May.
    2. Dinh Hoa Nguyen, 2023. "Optical Wireless Power Transfer for Implanted and Wearable Devices," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    3. Rasmussen, Rasmus V. & Trick, Michael A., 2008. "Round robin scheduling - a survey," European Journal of Operational Research, Elsevier, vol. 188(3), pages 617-636, August.
    4. Mohammed Rizwanullah & Hadeel Alsolai & Mohamed K. Nour & Amira Sayed A. Aziz & Mohamed I. Eldesouki & Amgad Atta Abdelmageed, 2023. "Hybrid Muddy Soil Fish Optimization-Based Energy Aware Routing in IoT-Assisted Wireless Sensor Networks," Sustainability, MDPI, vol. 15(10), pages 1-15, May.
    5. Daljeet Singh & Mohamed Amine Ouamri & Mohammed Saleh Ali Muthanna & Abuzar B. M. Adam & Ammar Muthanna & Andrey Koucheryavy & Ahmed A. Abd El-Latif, 2022. "A Generalized Approach on Outage Performance Analysis of Dual-Hop Decode and Forward Relaying for 5G and beyond Scenarios," Sustainability, MDPI, vol. 14(19), pages 1-11, October.
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