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Link to original content: https://doi.org/10.1007/s11277-023-10327-1
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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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References

  1. Pan, H., & Zhu, Q. (2021). Energy-efficient power allocation in non-linear energy harvesting multiple relay systems. Algorithms, 14(5), 155. https://doi.org/10.3390/a14050155

    Article  MathSciNet  Google Scholar 

  2. Elsayed, M., Samir, A., & El-Banna, A., A., A., et al. (2022). Symbiotic Ambient Backscatter IoT Transmission over NOMA-Enabled Network. In ICC 2022-IEEE International Conference on Communications (pp. 2266–2271). https://doi.org/10.1109/ICC45855.2022.9838941.

  3. Ciuonzo, D., Gelli, G., Pescap, A., & Verde, F. (2019). Decision Fusion Rules in Ambient Backscatter Wireless Sensor Networks. In 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) (pp. 1–6). https://doi.org/10.1109/PIMRC.2019.8904358.

  4. Hu, Y., Liu, M., & Feng, T. (2021). Resource allocation for SWIPT systems with nonlinear energy harvesting model. Wireless Communications and Mobile Computing, 2021, 1–9. https://doi.org/10.1155/2021/5576356

    Article  Google Scholar 

  5. Ju, H., & Zhang, R. (2014). Throughput maximization in wireless powered communication networks. IEEE Transactions on Wireless Communications, 13(1), 418–428. https://doi.org/10.1109/TWC.2013.112513.130760

    Article  Google Scholar 

  6. Bi, S., Ho, C. K., & Zhang, R. (2015). Wireless powered communication: opportunities and challenges. IEEE Communications Magazine, 53(4), 117–125. https://doi.org/10.1109/MCOM.2015.7081084

    Article  Google Scholar 

  7. Bi, S., Zeng, Y., & Zhang, R. (2016). Wireless powered communication networks: An overview. IEEE Wireless Communications, 23(2), 10–18. https://doi.org/10.1109/MWC.2016.7462480

    Article  Google Scholar 

  8. Niyato, D., Kim, D. I., Maso, M., & Han, Z. (2017). Wireless powered communication networks: Research directions and technological approaches. IEEE Wireless Communications, 24(6), 88–97. https://doi.org/10.1109/MWC.2017.1600116

    Article  Google Scholar 

  9. Pejoski, S., Hadzi-Velkov, Z., & Schober, R. (2017). Optimal power and time allocation for WPCNs with piece-wise linear EH model. IEEE Wireless Communications Letters, 7(3), 364–367. https://doi.org/10.1109/LWC.2017.2778146

    Article  Google Scholar 

  10. Tin, P., Phan, V., Tan, N., Tran, H., & Ha, D. (2020). Non-linear energy harvesting based power splitting relaying in full-duplex AF and DF relaying networks: System performance analysis. Proceedings of the Estonian Academy of Sciences, 69, 368–381. https://doi.org/10.3176/proc.2020.4.06

    Article  MATH  Google Scholar 

  11. Du, R., Shokri-Ghadikolaei, H., & Fischione, C. (2020). Wirelessly-powered sensor networks: Power allocation for channel estimation and energy beamforming. IEEE Transactions on Wireless Communications, 19(5), 2987–3002. https://doi.org/10.1109/TWC.2020.2969659

    Article  Google Scholar 

  12. Paul, K., Amann, A., & Roy, S. (2021). Tapered nonlinear vibration energy harvester for powering Internet of Things. Applied Energy, 283, 116267. https://doi.org/10.1016/j.apenergy.2020.116267

    Article  Google Scholar 

  13. Shen, T., & Ochidai, H. (2021). A UAV-enabled wireless powered sensor network based on NOMA and cooperative relaying with altitude optimization. IEEE Open Journal of the Communications Society, 2, 21–34. https://doi.org/10.1109/OJCOMS.2020.3042257

    Article  Google Scholar 

  14. Bi, S., & Zhang, Y. J. (2018). Computation rate maximization for wireless powered mobile-edge computing with binary vomputation offloading. IEEE Transactions on Wireless Communications, 17(6), 4177–4190. https://doi.org/10.1109/TWC.2018.2821664

    Article  Google Scholar 

  15. Zhong, M., Bi, S., & Lin, X. (2016). User cooperation for enhancement throughput fairness in wireless powered communication networks. IEEE ICT. https://doi.org/10.1109/ICT.2016.7500446

    Article  Google Scholar 

  16. Zhong, M., Bi, S., & Lin, X. (2017). User cooperation for enhancement throughput fairness in wireless powered communication networks. Wireless Networks, 23(4), 1315–1330. https://doi.org/10.1007/s11276-016-1401-1

    Article  Google Scholar 

  17. Chen, H., Li, Y., Rebelatto, J. L., Uchôa Filho, B. F., & Vucetic, B. (2015). Harvest-then-cooperate: Wireless-powered cooperative communications. IEEE Transactions on Signal Processing, 63(7), 1700–1711. https://doi.org/10.1109/TSP.2015.2396009

    Article  MathSciNet  MATH  Google Scholar 

  18. Ju, H., &Zhang, R. (2014). User cooperation in wireless powered communication networks. In Proceedings of the IEEE GLOBECOM (pp. 1430–1435). https://doi.org/10.1109/GLOCOM.2014.7037009.

  19. Aldalahmeh, S. A., & Ciuonzo, D. (2022). Distributed detection fusion in clustered sensor networks over multiple access fading channels. IEEE Transactions on Signal and Information Processing over Networks, 8, 317–329. https://doi.org/10.1109/TSIPN.2022.3161827

    Article  MathSciNet  Google Scholar 

  20. Anzola, J., Pascual, J., Tarazona, G., et al. (2018). A clustering WSN routing protocol based on k-d Tree algorithm. Sensors, 18, 2899. https://doi.org/10.3390/s18092899

    Article  Google Scholar 

  21. Yuan, L., Bi, S., Zhang, S., Lin, X., & Wang, H. (2017). Multi-antenna enabled cluster-based cooperation in wireless powered communication networks. IEEE Access, 5, 13941–13950. https://doi.org/10.1109/ACCESS.2017.2726559

    Article  Google Scholar 

  22. Zhou, X., Zhang, R., & Ho, C., K. (2012). Wireless information and power transfer: Architecture design and rate-energy tradeoff. In IEEE Global Communications Conference (pp. 3982–3987). https://doi.org/10.1109/GLOCOM.2012.6503739.

  23. Yuan, L., Bi, S., Lin, X., Zhang, S., & Wang, H. (2016). Multi-antenna enabled cluster-based cooperation in wireless powered communication networks. In Proceedings of the International Conference on Computer Networks and Communication Technology (pp. 378–387). https://doi.org/10.2991/cnct-16.2017.52.

  24. Yuan, L., Bi, S., Lin, X., & Wang, H. (2020). Throughput maximization of cluster-based cooperation in underlay cognitive WPCNs. Computer Networks, 166, 106853. https://doi.org/10.1016/j.comnet.2019.07.009

    Article  Google Scholar 

  25. Yuan, L., Chen, H., & Gong, J. (2021). Throughput optimization of multi-hop and multi-path cooperation in WPSNs with hardware noises. International Journal of Distributed Sensor Networks, 17(6), 1–8. https://doi.org/10.1177/15501477211024838

    Article  Google Scholar 

  26. Liu, L., Zhang, R., & Chua, K. C. (2014). Multi-antenna wireless powered communication with energy beamforming. IEEE Transactions on Communications, 62(12), 4349–4361. https://doi.org/10.1109/TCOMM.2014.2370035

    Article  Google Scholar 

  27. Xu, J., & Zhang, R. (2014). Energy beamforming with one-bit feedback. IEEE Transactions on Signal Processing, 62(20), 5370–5381. https://doi.org/10.1109/TSP.2014.2352604

    Article  MathSciNet  MATH  Google Scholar 

  28. Boshkovska, E., Ng, D. W. K., Zlatanov, N., & Schober, R. (2015). Practical non-linear energy harvesting model and resource allocation for SWIPT systems. IEEE Communications Letters, 19(12), 2082–2085. https://doi.org/10.1109/LCOMM.2015.2478460

    Article  Google Scholar 

  29. Boyd, S., & Vandenberghe, L. (2004). Convex Optimization. Cambridge: Cambridge University Press.

    Book  MATH  Google Scholar 

  30. Che, Y., Duan, L., & Zhang, R. (2015). Spatial throughput maximization of wireless powered communication networks. IEEE Journal on Selected Areas in Communications, 33(8), 1–15. https://doi.org/10.1109/JSAC.2015.2391915

    Article  Google Scholar 

  31. Bi, S., & Zhang, R. (2016). Placement optimization of energy and information access points in wireless powered communication networks. IEEE Transactions on Communications, 15(3), 2351–2364. https://doi.org/10.1109/TWC.2015.2503334

    Article  Google Scholar 

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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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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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