Skip to main content
SpringerLink
Log in

Performance Analysis of Wireless Network Aided by Discrete-Phase-Shifter IRS

  • Chapter
  • First Online:
Intelligent Reflecting Surface-Aided Physical-Layer Security

Part of the book series: Wireless Networks ((WN))

  • 107 Accesses

Abstract

Discrete phase shifter of IRS generates phase quantization error (QE) and degrades the receive performance at the receiver. To make an analysis of the PL caused by IRS with phase QE, based on the law of large numbers, the closed-form expressions of SNR PL, achievable rate (AR), and bit error rate (BER) are successively derived under LoS channels and Rayleigh channels. Moreover, based on the Taylor series expansion, the approximate simple closed form of PL of IRS with approximate QE is also given.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Nguyen, V., Truong, T.P., Nguyen, T.M.T., Noh, W., Cho, S.: Achievable rate analysis of two-hop interference channel with coordinated IRS relay. IEEE Trans. Wireless Commun. 21(9), 7055–7071 (2022)

    Article  Google Scholar 

  2. Wu, Q., Zhang, R.: Towards smart and reconfigurable environment: intelligent reflecting surface aided wireless network. IEEE Commun. Mag. 58(1), 106–112 (2020)

    Article  Google Scholar 

  3. Tang, W., Dai, J., Chen, M., Wong, K., Li, X., Zhao, X., Jin, S., Cheng, Q., Cui, T.: MIMO transmission through reconfigurable intelligent surface: system design, analysis, and implementation. IEEE J. Sel. Areas Commun. 38(11), 2683–2699 (2020)

    Article  Google Scholar 

  4. Gao, Y., Yong, C., Xiong, Z., Zhao, J., Xiao, Y., Niyato, D.: Reflection resource management for intelligent reflecting surface aided wireless networks. IEEE Trans. Commun. 69(10), 6971–6986 (2021)

    Article  Google Scholar 

  5. Huang, C., Zappone, A., Alexandropoulos, G.C., Debbah, M., Yuen, C.: Reconfigurable intelligent surfaces for energy efficiency in wireless communication. IEEE Trans. Wireless Commun. 18(8), 4157–4170 (2019)

    Article  Google Scholar 

  6. Guan, X., Wu, Q., Zhang, R.: Intelligent reflecting surfaces assisted secrecy commuincation: is artificial noise helpful or not? IEEE Wireless Commun. Lett. 9(6), 778–782 (2020)

    Article  Google Scholar 

  7. Dong, R., Shu, F., Chen, R., Wu, Y., Pan, C., Wang, J.: Beamforming and power allocation for double-RIS-aided two-way directional modulation network. https://arxiv.org/abs/2201.09063

  8. Hong, S., Pan, C., Ren, H., Wang, K., Nallanathan, A.: Artificial-noise-aided secure MIMO wireless communications via intelligent reflecting surface. IEEE Trans. Commun. 68(12), 7851–7866 (2020)

    Article  Google Scholar 

  9. Wang, X., Shu, F., Shi, W., Liang, X., Dong, R., Li, J., Wang, J.: Beamforming design for IRS-aided decode-and-forward relay wireless network. IEEE Trans. Green Commun. Netw. 6(1), 198–207 (2022)

    Article  Google Scholar 

  10. Yang, L., Guo, W., Ansari, I.S.: Mixed dual-hop FSO-RF communication systems through reconfigurable intelligent surface. IEEE Commun. Lett. 24(7), 1558–1562 (2020)

    Article  Google Scholar 

  11. Zhu, Q., Gao, Y., Xiao, Y., Mumtaz, S.: Intelligent reflecting surface aided wireless networks: dynamic user access and system sum-rate maximization. IEEE Trans. Commun. 70(4), 2870–2881 (2022)

    Article  Google Scholar 

  12. Ahmed, A.H., Samir, M., Elhattab, M., Assi, C., Sharafeddine, S.: Reconfigurable intelligent surface enabled vehicular communication: joint user scheduling and passive beamforming. IEEE Trans. Veh. Technol. 71(3), 2333–2345 (2022)

    Article  Google Scholar 

  13. Mei, W., Zhang, R.: Performance analysis and user association optimization for wireless network aided by multiple intelligent reflecting surface. IEEE Trans. Commun. 69(6), 6296–6312 (2021)

    Article  Google Scholar 

  14. Yang, L., Yang, J., Xie, W., Hasna, M.O., Tsiftsis, T., Renzo, M.D.: Secrecy performance analysis of RIS-aided wireless communication systems. IEEE Trans. Veh. Technol. 69(10), 12296–12300 (2020)

    Article  Google Scholar 

  15. Pang, X., Zhao, N., Tang, J., Wu, C., Niyato, D., Wong, K.K.: IRS-assisted secure UAV transmission via joint trajectory and beamforming design. IEEE Trans. Commun. 70(2), 1140–1152 (2022)

    Article  Google Scholar 

  16. Fang, S., Chen, G., Li, Y.: Joint optimization for secure intelligent reflecting surface assisted UAV networks. IEEE Commun. Lett. 10(2), 276–280 (2021)

    Article  Google Scholar 

  17. Pang, X., Sheng, M., Zhao, N., Tang, J., Niyato, D., Wong, K.K.: When UAV meets IRS: expanding air-ground networks via passive reflection. IEEE Wireless Commun. 28(5), 164–170 (2021)

    Article  Google Scholar 

  18. Shu, F., Teng, Y., Li, J., Huang, M., Shi, W., Li, J., Wu, Y., Wang, J.: Enhanced secrecy rate maximization for directional modulation networks via IRS. IEEE Trans. Commun. 69(12), 8388–8401 (2021)

    Article  Google Scholar 

  19. Di, B., Zhang, H., Song, L., Li, Y., Han, Z., Poor, H.V.: Hybrid beamforming for reconfigurable intelligent surface based multi-user communications: achievable rates with limited discrete phase shifts. IEEE J. Sel. Areas Commun. 38(8), 1809–1822 (2020)

    Article  Google Scholar 

  20. Choi, J., Kwon, G., Park, H.: Multiple intelligent reflecting surfaces for capacity maximization in LOS MIMO systems. IEEE Wireless Commun. Lett. 10(8), 1727–1731 (2021)

    Article  Google Scholar 

  21. Rehman, H.U., Bellili, F., Mezghani, A., Hossain, E.: Joint active and passive beamforming design for IRS-assisted multi-user MIMO systems: a VAMP-based approach. IEEE Trans. Commun. 69(10), 6734–6749 (2021)

    Article  Google Scholar 

  22. Han, Y., Zhang, S., Duan, L., Zhang, R.: Double-IRS aided MIMO communication under LoS channel: Capacity maximization and scaling. IEEE Trans. Wireless Commun. 70(4), 2820–2837 (2022)

    Article  Google Scholar 

  23. Wang, H.M., Bai, J., Limeng, D.: Intelligent reflecting surfaces assisted secure transmission without eavesdropper’s CSI. IEEE Signal Process Lett. 27, 1300–1304 (2020)

    Article  Google Scholar 

  24. Wu, Q., Zhang, R.: Beamforming optimization for intelligent reflecting surface with discrete phase shifts. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 7830–7833, (2019)

    Google Scholar 

  25. Shi, W., Li, J., Xia, G., Wang, Y., Zhou,, Zhang, Y., Shu, F.: Secure multigroup multicast communication systems via intelligent reflecting surface. China Commun. 18(3), 39–51 (2021)

    Google Scholar 

  26. Zhang, Y., Zhong, C., Zhang, Z., Lu, W.: Sum rate optimization for two way communications with intelligent reflecting surface. IEEE Commun. Lett. 24(5), 1090–1094 (2020)

    Article  Google Scholar 

  27. Shen, H., Ding, T., Xu, W., Zhao, C.: Beamforming design with fast convergence for IRS-aided full-duplex communication. IEEE Commun. Lett. 24(12), 2849–2853 (2020)

    Article  Google Scholar 

  28. Yang, L., Yang, Y., Hasna, M.O., Alouini, M.S.: Coverage, probability of SNR gain, and DOR analysis of RIS-aided communication systems. IEEE Wireless Commun. Lett. 9(8), 1268–1272 (2020)

    Article  Google Scholar 

  29. Pan, C., Ren, H., Wang, K., Xu, W., Elkashlan, M., Nallanathan, A., Hanzo, L.: Multicell MIMO communications relying on intelligent reflecting surfaces. IEEE Trans. Wireless. Commun. 19(8), 5218–5233 (2020)

    Article  Google Scholar 

  30. Li, J., Xu, L., Lu, P., Liu, T., Zhang, Z., Hu, J., Shu, F., Wang, J.: Performance analysis of directional modulation with finite-quantized RF phase shifters in analog beamforming structure. IEEE Access. 7, 97457–97465 (2019)

    Article  Google Scholar 

  31. Wei, Z., Masouros, C., Liu, F.: Secure directional modulation with few-bit phase shifters: optimal and iterative-closed-form designs. IEEE Trans. Commun. 69(1), 486–500 (2021)

    Article  Google Scholar 

  32. Dong, R., Shi, B., Zhan, X., Shu, F., Wang, J.: Performance analysis of massive hybrid directional modulation with mixed phase shifters. IEEE Trans. Veh. Technol. 71(4), 5604–5608 (2022)

    Article  Google Scholar 

  33. You, C., Zheng, B., Zhang, C.R.: Channel estimation and passive beamforming for intelligent reflecting surface: Discrete phase shift and progressive refinement. IEEE J. Sel. Areas Commun. 38(11), 2604–2620 (2020)

    Article  Google Scholar 

  34. Wasserman, L.: All of Statistics: A Concise Course in Statistical Inference. Springer, Berlin (2004)

    Book  MATH  Google Scholar 

  35. Moon, T.K., Stirling, W.C.: Mathematical Methods and Algorithms for Signal Processing. Marsha Horron (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Information and Communication Engineering, Hainan University, Haikou, China

    Feng Shu

  2. School of Engineering, University of Kent, Canterbury, UK

    Jiangzhou Wang

Authors
  1. Feng Shu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jiangzhou Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Shu, F., Wang, J. (2023). Performance Analysis of Wireless Network Aided by Discrete-Phase-Shifter IRS. In: Intelligent Reflecting Surface-Aided Physical-Layer Security. Wireless Networks. Springer, Cham. https://doi.org/10.1007/978-3-031-41812-9_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-41812-9_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-41811-2

  • Online ISBN: 978-3-031-41812-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation