Skip to main content
SpringerLink
Log in

User Selection in MU-MIMO System with Limited CSI Feedback

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In this paper, the concept of multi-channel integrated SINR is proposed for Multi-User Multiple Input and Multiple Output (MU-MIMO) limited feedback system where all equivalent channels are used to transmit data. We prove that the achievable bit rate of user terminal depends on its multi-channel integrated SINR. We propose a user selection algorithm based on the multi-channel integrated SINR which can obtain larger system throughput compared with the existing literatures where only one equivalent channel is used to transmit data, and we prove that the proposed algorithm has a smaller computation load compared with algorithms which directly calculate user’s achievable bit rate to select users.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Goldsmith, A., Jafar, A. S., Jindal, N. Vishwanath, S. (2002). Fundamental Capacity of MIMO Channels. IEEE Journal on Selected Areas in Communications Special Issue on MIMO Systems, 8.

  2. Sharif, M., Hassibi, B. (2003). On the capacity of MIMO broadcast channel with partial side information. In IEEE Conference on Signals, Systems&Computers

  3. Yoo, T., Jindal, N., Goldsmith, A. (2007). Multi-Antenna Downlink Channels with Limited Feedback and User Selection. IEEE Journal on Selected Areas in Communications, 25(7), 1478–1491.

    Article  Google Scholar 

  4. Zhou, B., Bai, B., Li, Y., Gu, D., Luo, Y. (2011). Chordal Distance-Based User Selection Algorithm for the Multiuser MIMO Downlink with Perfect or Partial CSIT. In International Conference on Advanced Information Networking and Applications.

  5. Chen, L., Chen, Z. Liu, L. Fu, B. (2014). Successive precoding and user selection in MU-MIMO broadcast channel with limited feedback. In Wireless Telecommunications Symposium (pp. 1–5).

  6. Xia, X., Fang, S., Wu, G., & Li, S. (2010). Joint user pairing and precoding in MU-MIMO broadcast channel with limited feedback. IEEE Communications Letters, 14(11), 1032–1034.

    Article  Google Scholar 

  7. Caire, G., Jindal, N., Kobayashi, M., & Ravindran, N. (2010). Multiuser MIMO achievable rates with downlink training and channel state feedback. IEEE Transactions on Information Theory, 56(6), 2845–2866.

    Article  MathSciNet  Google Scholar 

  8. Dietl, G., Bauch, G. (2007). Linear precoding in the downlink of limited feedback multiuser MIMO systems. In IEEE Global Telecommunications Conference.

  9. Kusume, K., Dietl, G., Abe, T., Taoka, H., Nagata, S. (2010). System Level Performance of Downlink MU-MIMO Transmission for 3GPP LTE-Advanced. In IEEE Vehicular Technology Conference (pp. 1–5).

  10. Jindal, N. (2006). MIMO broadcast channels with finite-rate feedback. IEEE Transactions on Information Theory, 52(11).

  11. Ravindran, N., & Jindal, N. (2008). Limited Feedback-Based Block Diagonalization for the MIMO Broadcast Channel. IEEE Juornal on Selected Areas in Communications, 26(8), 1473–1482.

    Article  Google Scholar 

  12. Love, D. J., Heath, R. W, Jr., Lau, V. K. N., Gesbert, D., Rao, B. D., & Andrews, M. (2008). An overview of limited feedback in wireless communication systems. IEEE Journal On Selected Areas In Communications, 6(8), 1341–1365.

    Article  Google Scholar 

  13. Wang, M., Li, F., Evans, J.S., & Dey, S. (2012). Dynamic Multi-user MIMO Scheduling with Limited Feedback in LTE-Advanced. In IEEE 23rd International Symposium on Personal,Indoor and Mobile Radio Communications.

  14. Kim, H., Park, S. Y., Love, D. J., & Kim, S. J. (2009). Improved Multiuser MIMO Unitary Precoding Using Partial Channel State Information and Insights from the Riemannian Manifold. IEEE Transactions on Wireless Communications, 8(8), 4014–4023.

    Article  Google Scholar 

  15. Fu, H.-L., Tao, Y., & Zhang, Y. (2011). Limited feedback precoding for multiuser MIMO systems based on double codebook. Journal of Computer Applications, 31(9), 2326–2327.

    Google Scholar 

  16. Qiao, D., Qian, H., Li, G.Y. (2017). Multi-resolution codebook design for teo-stage precoding in FDD massive MIMO networks. In IEEE 18th International Workshop on SPAWC.

  17. Colon, D.L., Gregorio, F.H., Cousseau, J., (2015). Linear Precoding in Multi-User Massive MIMO Systems with imperfect channel state information. XVI Workshop on Information Processing&Control.

  18. Nayebi, E., Ashikhmin, A., Marzetta, T.L., Rao, B.D. (2016). Performance of cell-free massive MIMO systems with MMSE and LSFD receivers. In IEEE Conferences.

  19. Pap, E., Strboja, M. (2012). Jensen type inequality for extremal universal integrals. In IEEE 10th Jubilee International Symposium in Intelligent Systems and Informatics.

  20. Peng, S.-Y., Huang, T.-C., Lee, Y.-H., Chiu, C.-C., Chen, K.-H., Lin, Y.-H., Lee C.-C. (2006). Instruction-Cycle-Based Dynamic Voltage Scaling Power Management for Low-Power Digital Signal Processor With 53% Power Savings. IEEE Journals & Magazines, VOL.48,2013.ee, H Park. Low complexity LMMSE channel estimation for OFDM. IEE Proceedings-Commun, 153(5): 645–650.

Download references

Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under Grant 62071244, in part by the Key Technologies R&D Program of Jiangsu Province under Grant BE2018733.

Author information

Authors and Affiliations

  1. Key Lab of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing, People’s Republic of China

    Su Pan & Peng Chen

  2. Jiangsu Engineering Research Center of Communication and Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, People’s Republic of China

    Su Pan

Authors
  1. Su Pan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Peng Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Su Pan.

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

Pan, S., Chen, P. User Selection in MU-MIMO System with Limited CSI Feedback. Wireless Pers Commun 118, 413–429 (2021). https://doi.org/10.1007/s11277-020-08020-8

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-020-08020-8

Keywords

Search

Navigation