Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

Aerial Intelligent Reflecting Surface for Secure MISO Communication Systems

  • Conference paper
  • First Online:
Communications and Networking (ChinaCom 2021)

Included in the following conference series:

  • 1146 Accesses

Abstract

In this paper, an aerial intelligent reflecting surface (AIRS) is introduced to assist the ground secure communication system, where intelligent reflecting surface shifts the communication channel to target position and AIRS can be flexibly deployed in the air. We aim to maximize the secure communication rate of the system, and the formulated problem is difficult to solve. To this end, the problem is decomposed into three sub-problems, and an efficient iterative algorithm is proposed by jointly optimizing the transmission beamforming, the reflection phase shift and trajectory of the AIRS with the alternating optimization technique. The semi-definite relaxation is used to optimize the AIRS’s phase shift, and the successive convex approximation method is applied to solve the non-convex trajectory optimization sub-problem. Numerical results show that the secrecy rate of the proposed algorithm precedes the benchmark schemes, and the AIRS has found the same optimal position with respect to different origins.

This work was supported in part by the National Natural Science Foundation of China under Grant 61801434, 61571401, 61801435, and 61771431, in part by the Project funded by China Postdoctoral Science Foundation under Grant 2020M682345, in part by the Henan Postdoctoral Foundation under Grant 202001015, in part by the Innovative Talent of Colleges and University of Henan Province under Grant 18HASTIT021, in part by the Science and Technology Innovation Project of Zhengzhou under Grant 2019CXZX0037.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Similar content being viewed by others

References

  1. Wu, Q., Zhang, S., Zheng, B., You, C., Zhang, R.: Intelligent reflecting surface-aided wireless communications: a tutorial. IEEE Trans. Commun. 69(5), 3313–3351 (2021)

    Article  Google Scholar 

  2. Sun, W., Song, Q., Guo, L., Zhao, J.: Secrecy rate maximization for intelligent reflecting surface aided SWIPT systems. In: 2020 IEEE/CIC International Conference on Communications in China (ICCC), pp. 1276–1281 (2020). https://doi.org/10.1109/ICCC49849.2020.9238963

  3. Cui, M., Zhang, G., Zhang, R.: Secure wireless communication via intelligent reflecting surface. IEEE Wirel. Commun. Lett. 8(5), 1410–1414 (2019)

    Article  Google Scholar 

  4. Hong, S., Pan, C., Zhou, G., Ren, H., Wang, K.: Outage constrained robust transmission design for IRS-aided secure communications with direct communication links (2020). https://arxiv.org/abs/2011.09822

  5. Zhang, G., Wu, Q., Cui, M., Zhang, R.: Securing UAV communications via joint trajectory and power control. IEEE Trans. Wirel. Commun. 18(2), 1376–1389 (2019)

    Article  Google Scholar 

  6. Shen, L., Wang, N., Ji, X., Mu, X., Cai, L.: Iterative trajectory optimization for physical-layer secure buffer-aided UAV mobile relaying. Sensors 19(15), 3442 (2019)

    Article  Google Scholar 

  7. Long, H., et al.: Reflections in the sky: joint trajectory and passive beamforming design for secure UAV networks with reconfigurable intelligent surface (2020). https://arxiv.org/abs/2005.10559

  8. Zhang, Q., Saad, W., Bennis, M.: Reflections in the sky: millimeter wave communication with UAV-carried intelligent reflectors. In: 2019 IEEE Global Communications Conference (GLOBECOM), pp. 1–6 (2019). https://doi.org/10.1109/GLOBECOM38437.2019.9013626

  9. Tang, X., Wang, D., Zhang, R., Chu, Z., Han, Z.: Jamming mitigation via aerial reconfigurable intelligent surface: Passive beamforming and deployment optimization. IEEE Trans. Veh. Technol. 70(6), 6232–6237 (2021)

    Article  Google Scholar 

  10. You, C., Kang, Z., Zeng, Y., Zhang, R.: Enabling smart reflection in integrated air-ground wireless network: IRS meets UAV (2021). https://arxiv.org/abs/2103.07151

  11. Cai, Y., Wei, Z., Hu, S., Ng, D.W.K., Yuan, J.: Resource allocation for power-efficient IRS-assisted UAV communications. In: 2020 IEEE International Conference on Communications Workshops (ICC Workshops), pp. 1–7 (2020). https://doi.org/10.1109/ICCWorkshops49005.2020.9145224

  12. Zheng, B., You, C., Zhang, R.: Intelligent reflecting surface assisted multi-user OFDMA: channel estimation and training design. IEEE Trans. Wirel. Commun. 19(12), 8315–8329 (2020)

    Article  Google Scholar 

  13. He, Z.Q., Yuan, X.: Cascaded channel estimation for large intelligent metasurface assisted massive MIMO. IEEE Wirel. Commun. Lett. 9(2), 210–214 (2020)

    Article  Google Scholar 

  14. Li, S., Duo, B., Di Renzo, M., Tao, M., Yuan, X.: Robust secure UAV communications with the aid of reconfigurable intelligent surfaces. IEEE Trans. Wirel. Commun. 1 (2021). https://doi.org/10.1109/TWC.2021.3073746

  15. Chu, Z., Hao, W., Xiao, P., Shi, J.: Intelligent reflecting surface aided multi-antenna secure transmission. IEEE Wirel. Commun. Lett. 9(1), 108–112 (2020)

    Article  Google Scholar 

  16. Liu, L., Zhang, R., Chua, K.C.: Secrecy wireless information and power transfer with miso beamforming. IEEE Trans. Signal Process. 62(7), 1850–1863 (2014)

    Article  MathSciNet  Google Scholar 

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

    Book  Google Scholar 

  18. Pólik, I., Terlaky, T.: Interior point methods for nonlinear optimization. In: Di Pillo, G., Schoen, F. (eds.) Nonlinear Optimization. Lecture Notes in Mathematics, vol. 1989, pp. 215–276. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-11339-0_4

    Chapter  MATH  Google Scholar 

  19. So, A.M.C., Zhang, J., Ye, Y.: On approximating complex quadratic optimization problems via semidefinite programming relaxations. Math. Program. 1(10), 93–110 (2007)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Henan Institute of Advanced Technology, Zhengzhou University, Zhengzhou, China

    Zhen Liu, Zhengyu Zhu & Wanming Hao

  2. School of Information Engineering, Zhengzhou University, Zhengzhou, China

    Zhengyu Zhu, Wanming Hao & Jiankang Zhang

Authors
  1. Zhen Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhengyu Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Wanming Hao
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jiankang Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zhengyu Zhu .

Editor information

Editors and Affiliations

  1. Shanghai University, Shanghai, China

    Honghao Gao

  2. Fudan University, Shanghai, China

    Jun Wun

  3. Zhejiang University, Hangzhou, China

    Jianwei Yin

  4. Tsinghua University, Beijing, China

    Feifei Shen

  5. Xidian University, X'ian, China

    Yulong Shen

  6. Hangzhou Dianzi University, Hangzhou, China

    Jun Yu

Rights and permissions

Reprints and permissions

Copyright information

© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Liu, Z., Zhu, Z., Hao, W., Zhang, J. (2022). Aerial Intelligent Reflecting Surface for Secure MISO Communication Systems. In: Gao, H., Wun, J., Yin, J., Shen, F., Shen, Y., Yu, J. (eds) Communications and Networking. ChinaCom 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 433. Springer, Cham. https://doi.org/10.1007/978-3-030-99200-2_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-99200-2_41

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-99199-9

  • Online ISBN: 978-3-030-99200-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation