Skip to main content

Maximum Ergodic Capacity of Intelligent Reflecting Surface Assisted MIMO Wireless Communication System

  • Conference paper
  • First Online:

Abstract

Intelligent reflecting surface (IRS) is currently adopted by massive multiple-input multiple-output (MIMO) systems as a new expansion scheme. It effectively copes with the increasing cost and energy consumption. In this paper, we concentrate on an IRS-assisted MIMO system, in which the base station, IRS and user are all equipped with multiple antennas. We first give the upper bound of the ergodic capacity of the system. Then we maximize this upper bound and obtain the sub-optimal phase shifts of IRS by applying semi-definite relax and Gaussian random methods. Numerical results shows the advantage of the proposed solution and the performance increase brought by multiple antennas.

This paper is supported in part by NSFC China (61771309, 61671301, 61420106008, 61521062), Shanghai Key Laboratory Funding (STCSM18DZ1200102) and CETC Key Laboratory of Data Link Technology Foundation (CLDL-20162306).

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

References

  1. Boccardi, F., Heath, R.W., Lozano, A., Marzetta, T.L., Popovski, P.: Five disruptive technology directions for 5G. IEEE Commun. Mag. 52(2), 74–80 (2014)

    Article  Google Scholar 

  2. Carrasco, E., Perruisseau-Carrier, J.: Reflectarray antenna at terahertz using graphene. IEEE Antennas Wirel. Propag. Lett. 12(3), 253–256 (2013)

    Article  Google Scholar 

  3. Chen, J., Liang, Y.C., Pei, Y., Guo, H.: Intelligent reflecting surface: a programmable wireless environment for physical layer security. arXiv preprint arXiv:1905.03689 (2019)

  4. Foschini, G.J., Gans, M.J.: On limits of wireless communications in a fading environment when using multiple antennas. Wirel. Pers. Commun. 6(3), 311–335 (1998)

    Article  Google Scholar 

  5. Grant, M., Boyd, S., Ye, Y.: CVX: Matlab software for disciplined convex programming (2008)

    Google Scholar 

  6. Han, Y., Tang, W., Jin, S., Wen, C.K., Ma, X.: Large intelligent surface-assisted wireless communication exploiting statistical CSI (2018)

    Google Scholar 

  7. Hu, S., Rusek, F., Edfors, O.: Beyond massive MIMO: the potential of data transmission with large intelligent surfaces. IEEE Trans. Sig. Process. 66(10), 2746–2758 (2018)

    Article  MathSciNet  Google Scholar 

  8. Hu, W., et al.: Design and measurement of reconfigurable millimeter wave reflectarray cells with nematic liquid crystal. IEEE Trans. Antennas Propag. 56(10), 3112–3117 (2008)

    Article  Google Scholar 

  9. Huang, C., Zappone, A., Alexandropoulos, G.C., Debbah, M., Yuen, C.: Large intelligent surfaces for energy efficiency in wireless communication (2018)

    Google Scholar 

  10. Huang, C., Zappone, A., Debbah, M., Yuen, C.: Achievable rate maximization by passive intelligent mirrors (2018)

    Google Scholar 

  11. Hum, S.V., Perruisseaucarrier, J.: Reconfigurable reflectarrays and array lenses for dynamic antenna beam control: a review. IEEE Trans. Antennas Propag. 62(1), 183–198 (2014)

    Article  Google Scholar 

  12. Larsson, E.G., Edfors, O., Tufvesson, F., Marzetta, T.L.: Massive mimo for next generation wireless systems. IEEE Commun. Mag. 52(2), 186–195 (2014)

    Article  Google Scholar 

  13. Lu, L., Li, G.Y., Swindlehurst, A.L., Ashikhmin, A., Zhang, R.: An overview of massive MIMO: benefits and challenges. IEEE J. Sel.d Top. Sig. Process. 8(5), 742–758 (2014)

    Article  Google Scholar 

  14. Subrt, L., Pechac, P.: Intelligent walls as autonomous parts of smart indoor environments. IET Commun. 6(8), 1004–1010 (2012)

    Article  Google Scholar 

  15. Wu, Q., Li, G.Y., Chen, W., Ng, D.W.K., Schober, R.: An overview of sustainable green 5G networks. IEEE Wirel. Commun. 24(4), 72–80 (2017)

    Article  Google Scholar 

  16. Wu, Q., Zhang, R.: Intelligent reflecting surface enhanced wireless network: joint active and passive beamforming design (2018)

    Google Scholar 

  17. Xin, T., Zhi, S., Jornet, J.M., Pados, D.: Increasing indoor spectrum sharing capacity using smart reflect-array. Mathematics (2015)

    Google Scholar 

  18. Yu, X., Xu, D., Schober, R.: Enabling secure wireless communications via intelligent reflecting surfaces. arXiv preprint arXiv:1904.09573 (2019)

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Feng Yang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 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

Guo, C., Lu, Z., Guo, Z., Yang, F., Ding, L. (2020). Maximum Ergodic Capacity of Intelligent Reflecting Surface Assisted MIMO Wireless Communication System. In: Gao, H., Feng, Z., Yu, J., Wu, J. (eds) Communications and Networking. ChinaCom 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-030-41114-5_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-41114-5_25

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-41113-8

  • Online ISBN: 978-3-030-41114-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics