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Nonlinear Energy Harvesting and Clustering Cooperation in WPCNs

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Abstract

The increasing demand for data and the rapid increase in the number of wireless connected devices make the shortage of energy and spectrum resources more serious. This paper considers a wireless powered communication network (WPCN) composed of N wireless devices (WDs) installed with single-antenna and a hybrid access point (HAP) equipped with multi-antenna, where HAP sends wireless energy to WDs in the downlink and receives information transmission from WDs in the uplink. To overcome “double near and far” problem, this paper adopts a clustering cooperative transmission method to enhance some WDs’ throughput performance far from the HAP, i.e., one of N WDs is selected as a cluster head (CH) and the remaining \((N-1)\) WDs as cluster members (CMs), and the CH helps relay CMs’ information to transmit. However, because the CH needs to transmit N WDs’ information, its energy consumed during information transmission will be the bottleneck of the system performance. To achieve a tradeoff between energy and data rate, this paper adopts multi-antenna energy beamforming technology to concentrate more energy to transmit the CH, so as to balance the energy consumption among all WDs. Considering the influence of in-phase/orthogonal imbalance,nonlinear amplification amplitude and phase noise on those physical transceivers of low-cost sensor nodes, nonlinear energy harvesting technology is employed to improve throughput performance of the WPCN system. Particularly, the proposed scheme’s throughput performance is derived, and simulation results demonstrate that this scheme can be effective to increase the WPCN system’s throughput fairness and spectral efficiency.

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The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

This research was supported by Doctoral talent project of Tongren Science and Technology Bureau (No. [2020124), Doctoral research project of Tongren University (trxyDH2003), Basic Research Program of Guizhou Province-ZK[2021] General 299, Natural Science Foundation Fund Project in Guangxi of China under Grant 2021GXNSFBA220003, and Doctoral Scientific Research Foundation of Yulin Normal University (No. G2019ZK44).

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Authors and Affiliations

  1. School of Data Science, Tongren University, Tongren, China

    Lina Yuan & Wen Zhang

  2. Guangxi Colleges and Universities Key Lab of Complex System Optimization and Big Data Processing, Yulin Normal University, Yulin, Guangxi, China

    Jiajun Liang

  3. College of Computer Science, Chengdu University, Chengdu, China

    Anran Zhou

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  1. Lina Yuan
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  2. Wen Zhang
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Correspondence to Jiajun Liang.

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Yuan, L., Zhang, W., Liang, J. et al. Nonlinear Energy Harvesting and Clustering Cooperation in WPCNs. Wireless Pers Commun 130, 1215–1230 (2023). https://doi.org/10.1007/s11277-023-10327-1

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