Advertisement

Research on the Energy Allocation Scheme Based on SWIPT Relaying System

  • Jianxiong Li
  • Xuelong Ding
  • Xianguo Li
  • Ke Zhao
  • Weiguang Shi
Article

Abstract

Simultaneous wireless information and power transfer (SWIPT) is a promising communication solution for energy-constrained wireless network. While the interference affects the performance of the system, it also carries energy. In this paper, we investigate an amplify-and-forward (AF) relaying network. In the network, an energy-constrained relay harvests energy from the received RF signal. During the information transmission (IT) period, the relay uses the harvested energy to forward the signal. When the IT is interrupted for some reason, such as strong interference, the relay stores the harvested energy into the energy storage till the interference ends. Particularly, in the IT period, the relay allocates the energy of its storage to the blocks of the IT. Based on the time switching (TS) architecture, the system rates of two energy allocation cases are discussed. It is proved that the scheme based on the energy-allocated-evenly (EAE) is the optimal solution of the system rate maximization, and the mathematical expressions of the system rate based on the EAE scheme is obtained. Then, we discuss the influence of the EAE scheme on the system rate, and the numerical analysis provides practical insights into the effect of two system parameters, namely, interference power and interference factor on the performance of wireless energy harvesting (EH) and IT using AF relay. The results show that the proposed EAE scheme can effectively improve the relaying system rate under an interference channel.

Keywords

Simultaneous wireless information and power transfer Time switching Amplify-and-forward Energy harvesting 

Notes

Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant No. 61372011) and Natural Science Foundation of Tianjin (Grant No. 16JCTPJC46900).

References

  1. 1.
    Sudevalayam S, Kulkarni P (2008) Energy harvesting sensor nodes: survey and implications. IEEE Commun Surv Tutor 13(3):443–461CrossRefGoogle Scholar
  2. 2.
    Visser HJ, Vullers RJ (2013) RF Transport for wireless sensor network applications: principles and requirements. Proc IEEE 101(6):1410–1423Google Scholar
  3. 3.
    Lu X, Wang P, Niyato D et al (2017) Wireless networks with RF energy harvesting: a contemporary survey. IEEE Commun Surv Tutor 17(2):757–789CrossRefGoogle Scholar
  4. 4.
    Varshney LR (2008) Transporting information and energy simultaneously. IEEE Int Sym Inform Theory. IEEE:1612–1616Google Scholar
  5. 5.
    Zhang R, Ho CK (2013) MIMO broadcasting for simultaneous wireless information and power transfer. IEEE Trans Wirel Commun 12(5):1989–2001CrossRefGoogle Scholar
  6. 6.
    Liu L, Zhang R, Chua KC (2013) Wireless information transfer with opportunistic energy harvesting. IEEE Trans Wirel Commun 12(1):288–300CrossRefGoogle Scholar
  7. 7.
    Ju H, Zhang R (2014) A novel mode switching scheme utilizing random beamforming for opportunistic energy harvesting. IEEE Trans Wirel Commun 13(4):2150–2162CrossRefGoogle Scholar
  8. 8.
    Ng DWK, Schober R (2013) Spectral efficient optimization in OFDM systems with wireless information and power transfer. CoRR 6(2):1–5Google Scholar
  9. 9.
    Shi Q, Liu L, Xu W et al (2013) Joint transmit beamforming and receive power splitting for MISO SWIPT systems. IEEE Trans Wirel Commun 13(6):3269–3280CrossRefGoogle Scholar
  10. 10.
    Wireless relay communication system and method, http://www.freepatentsonline.com
  11. 11.
    Nasir AA, Zhou X, Durrani S et al (2013) Relaying protocols for wireless energy harvesting and information processing. IEEE Trans Wirel Commun 12(7):3622–3636CrossRefGoogle Scholar
  12. 12.
    Chalise BK, Zhang YD, Amin MG (2012) Energy harvesting in an OSTBC based amplify-and- forward MIMO relay system. IEEE Int Conf Acoust, Speech Signal Process. IEEE:3201–3204Google Scholar
  13. 13.
    Ding Z, Perlaza SM, Esnaola I et al (2014) Power allocation strategies in energy harvesting wireless cooperative networks. IEEE Trans Wirel Commun 13(2):846–860CrossRefGoogle Scholar
  14. 14.
    Nasir AA, Zhou X, Durrani S et al (2015) Wireless- powered relays in cooperative communications: time-switching relaying protocols and throughput analysis. IEEE Trans Commun 63(5):1607–1622CrossRefGoogle Scholar
  15. 15.
    Liu Y, Wang L, Elkashlan M et al (2014) Two-way relaying networks with wireless power transfer: policies design and throughput analysis// IEEE global communications conference. IEEE:4030–4035Google Scholar
  16. 16.
    Diamantoulakis PD, Pappi KN, Karagiannidis GK et al (2017) Joint downlink/uplink Design for Wireless Powered Networks with Interference. IEEE Access 5(99):1534–1547CrossRefGoogle Scholar
  17. 17.
    Assanovich BA (2008) Two schemes for block-based transmission of variable-length codes// IEEE Region 8 International Conference on Comput- ational Technologies in Electrical and Electronics Engineering. Sibircon IEEE 2008:253–256Google Scholar
  18. 18.
    Chhabra C (2014) Improvements in the bisection method of finding roots of an equation. Adv Comput Conf. IEEE: 11–16Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Jianxiong Li
    • 1
    • 2
  • Xuelong Ding
    • 1
    • 2
  • Xianguo Li
    • 1
    • 2
  • Ke Zhao
    • 1
    • 2
  • Weiguang Shi
    • 1
    • 2
  1. 1.School of Electronics and Information EngineeringTianjin Polytechnic UniversityTianjinChina
  2. 2.Tianjin Key Laboratory of Optoelectronic Detection Technology and SystemsTianjinChina

Personalised recommendations