Skip to main content

Advertisement

Log in

Full-Duplex Cognitive Radio with RF Energy Harvesting

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

With the development of self-interference suppression techniques, full-duplex (FD) communication is expected to double the spectrum efficiency (SE). In FD based cognitive radio (CR), the secondary users (SUs) can perform spectrum sensing and data transmission simultaneously, with the goal of achieving better sensing performance or higher throughput for the SUs. Another key performance metric in fifth-generation (5G) wireless networks, energy efficiency (EE), has attracted more and more attention recently. The radio frequency (RF) energy harvesting (EH) technique is proposed to prolong the battery lifetime of low-power communication devices. In this paper, we are interested in the full-duplex CR with energy harvesting. We consider that the SUs can harvest RF energy from the PU and recycle part of its own energy when the secondary data transmission is conducted. The EE of the CR system is defined as the ratio of the average SE over the average power consumption. The system parameters, including the sensing thresholds and the secondary transmit power are optimized to maximize the EE under the constraint that the primary user (PU) is sufficiently protected. Finally, the simulation results are presented to show the outperformance of the proposed FD-EH scheme.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Cheng, W., Zhang, H., Liang, L., Jing, H., & Li, Z. (2018). Orbital-angular-momentum embedded massive MIMO: Achieving multiplicative spectrum-efficiency for mmWave communication. IEEE Access, 6, 2732–2745.

    Article  Google Scholar 

  2. Towhidlou, V., & Shikh-Bahaei, M. (2018). Adaptive full-duplex communications in cognitive radio networks. IEEE Transactions on Vehicular Technology, 67(9), 8386–8395.

    Article  Google Scholar 

  3. Amjad, M., Akhtar, F., Rehmani, M. H., Reisslein, M., & Umer, T. (2017). Full-duplex communication in cognitive radio networks: A survey. IEEE Communications Surveys and Tutorials, 19(4), 2158–2191.

    Article  Google Scholar 

  4. Zhang, R., Chen, H., Yeoh, P. L., Li, Y., & Vucetic, B. (2017). Full-duplex cooperative cognitive radio networks with wireless energy harvesting. In Proceeding of IEEE international conference on communications (ICC) (pp. 1–6).

  5. Sharma, S. K., Bogale, T. E., Le, L. B., Chatzinotas, S., Wang, X., & Ottersten, B. (2018). Dynamic spectrum sharing in 5G wireless networks with full-duplex technology: Recent advances and research challenges. IEEE Communications Surveys and Tutorials, 20(1), 674–707.

    Article  Google Scholar 

  6. Pratibha, Li K. H., & Teh, K. C. (2017). Optimal spectrum access and energy supply for cognitive radio systems with opportunistic RF energy harvesting. IEEE Transactions on Vehicular Technology, 66(8), 7114–7122.

    Article  Google Scholar 

  7. Bayat, A., & Aissa, S. (2018). Full-duplex cognitive radio with asynchronous energy-efficient sensing. IEEE Transactions on Wireless Communications, 17(2), 1066–1080.

    Article  Google Scholar 

  8. Li, H., Xu, J., Zhang, R., & Cui, S. (2015). A general utility optimization framework for energy-harvesting-based wireless communications. IEEE Communications Magazine, 53(4), 79–85.

    Article  Google Scholar 

  9. Liang, Y.-C., Chen, K. C., Li, G. Y., & Mahonen, P. (2011). Cognitive radio networking and communications: An overview. IEEE Transactions on Vehicular Technology, 60(7), 3386–3407.

    Article  Google Scholar 

  10. Jiang, C., Beaulieu, N. C., Zhang, L., Ren, Y., Peng, M., & Chen, H.-H. (2015). Cognitive radio networks with asynchronous spectrum sensing and access. IEEE Network, 29(3), 88–95.

    Article  Google Scholar 

  11. Cheng, W., Zhang, X., & Zhang, H. (2011). Imperfect full duplex spectrum sensing in cognitive radio networks. In Proceeding of 3rd ACM workshop on cognitive radio networks (pp. 1–6).

  12. Liao, Y., Wang, T., Song, L., & Jiao, B. (2014). Cooperative spectrum sensing for full-duplex cognitive radio networks. In Proceeding of IEEE international conference on communication systems (pp. 56–60).

  13. Cheng, W., Zhang, X., & Zhang, H. (2015). Full-duplex spectrum-sensing and MAC-protocol for multichannel nontime-slotted cognitive radio networks. IEEE Journal on Selected Areas in Communications, 33(5), 820–831.

    Article  Google Scholar 

  14. Shafie, A. E., Ashour, M., Khattab, T., & Mohamed, A. (2015). On spectrum sharing between energy harvesting cognitive radio users and primary users. In Proceeding of international conference on computing, networking and communications (pp. 214–220).

  15. Zhang, Y., Han, W., Li, D., Zhang, P., & Cui, S. (2015). Power versus spectrum 2-D sensing in energy harvesting cognitive radio networks. IEEE Transactions on Signal Processing, 63(23), 6200–6212.

    Article  MathSciNet  Google Scholar 

  16. Pratibha, M., Li, K. H., & Teh, K. C. (2016). Channel selection in multichannel cognitive radio systems employing RF energy harvesting. IEEE Transactions on Vehicular Technology, 65(1), 457–462.

    Article  Google Scholar 

  17. Liao, Y., Wang, T., Song, L., & Han, Z. (2014). Listen-and-talk: full-duplex cognitive radio networks. In Proceeding of IEEE global communications conference (pp. 3068–3073).

  18. Peh, E. C. Y., Liang, Y.-C., Guan, Y. L., & Zeng, Y. (2010). Cooperative spectrum sensing in cognitive radio networks with weighted decision fusion schemes. IEEE Transactions on Wireless Communications, 9(12), 3838–3847.

    Article  Google Scholar 

  19. Shi, Z., Teh, K. C., & Li, K. H. (2013). Energy-efficient joint design of sensing and transmission durations for protection of primary user in cognitive radio systems. IEEE Communications Letters, 17(3), 565–568.

    Article  Google Scholar 

  20. Chapra, Steven C., & Canale, Raymond P. (2010). Numerical methods for engineers (6th ed.). New York: McGraw-Hill.

    Google Scholar 

Download references

Acknowledgements

This work is supported by National Postdoctoral Program for Innovative Talents (No. BX201700108), Natural Science Foundation of Shanxi Province of China (No. 2018JQ6042), China Postdoctoral Science Foundation on the 63th grant program, and the National Natural Science Foundation of China (Grant No. 61671475, Grant No. 61901509, Grant No. 61571460).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hang Hu.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hu, H., Da, X., Zhang, H. et al. Full-Duplex Cognitive Radio with RF Energy Harvesting. Wireless Pers Commun 111, 853–865 (2020). https://doi.org/10.1007/s11277-019-06889-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-019-06889-8

Keywords

Navigation