Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
권호 표지
DOI QR코드

DOI QR Code

Joint Detection Method for Non-orthogonal Multiple Access System Based on Linear Precoding and Serial Interference Cancellation

  • Li, Jianpo (School of Computer Science, Northeast Electric Power University) ;
  • Wang, Qiwei (School of Computer Science, Northeast Electric Power University)
  • Received : 2020.03.20
  • Accepted : 2021.02.06
  • Published : 2021.10.31
Download PDF
⟨ Previous Next ⟩

Abstract

In the non-orthogonal multiple access (NOMA) system, multiple user signals on the single carrier are superimposed in a non-orthogonal manner, which results in the interference between non-orthogonal users and noise interference in the channel. To solve this problem, an improved algorithm combining regularized zero-forcing (RZF) precoding with minimum mean square error-serial interference cancellation (MMSE-SIC) detection is proposed. The algorithm uses RZF precoding combined with successive over-relaxation (SOR) method at the base station to preprocess the source signal, which can balance the effects of non-orthogonal inter-user interference and noise interference, and generate a precoded signal suitable for transmission in the channel. At the receiver, the MMSE-SIC detection algorithm is used to further eliminate the interference in the signal for the received superimposed signal, and reduce the calculation complexity through the QR decomposition of the matrix. The simulation results show that the proposed joint detection algorithm has good applicability to eliminate the interference of non-orthogonal users, and it has low complexity and fast convergence speed. Compared with other traditional method, the improved method has lower error rate under different signal-to-interference and noise ratio (SINR).

Keywords

Acknowledgement

This work is supported by National Natural Science Foundation of China (No. 61501106), Science and Technology Foundation of Jilin Province (No. 20180101039JC), and Science and Technology Foundation of Jilin City (No. 201831775).

References

  1. C. Wu and H. Shang, "QoS-aware resource allocation for D2D communications," Journal of Northeast Electric Power University, vol. 40, no. 2, pp. 89-95, 2020.
  2. E. Ali, M. Ismail, N. F. Abdullah, R. Nordin, M. Balfaqih, I. Shglouf, and M. H. Mazlan, "Two dimension angle of arrival-based precoding for pilot contamination reduction in multi-cell massive MIMO systems," Wireless Networks, vol. 26, no. 6, pp. 4129-4147, 2020. https://doi.org/10.1007/s11276-020-02315-1
  3. P. Zhang, L. Gan, C. Ling, and S. Sun, "Atomic norm denoising-based joint channel estimation and faulty antenna detection for massive MIMO," IEEE Transactions on Vehicular Technology, vol. 67, no. 2, pp. 1389-1403, 2018. https://doi.org/10.1109/tvt.2017.2758024
  4. B. Shi, Y. Wang, W. Li, and G. Sun, "Study on communication network effect on system performance of wide area control," Journal of Northeast Electric Power University, vol. 38, no. 6, pp. 29-34, 2018.
  5. A. Li, Y. Lan, X. Chen, and H. Jiang, "Non-orthogonal multiple access (NOMA) for future downlink radio access of 5G," China Communications, vol. 12(Supplement), pp. 28-37, 2015. https://doi.org/10.1109/CC.2015.7386168
  6. Z. Sun and D. Yang, "D2D radio resource allocation algorithm based on global fairness," Journal of Northeast Electric Power University, vol. 39, no. 1, pp. 81-87, 2019.
  7. L. Kibona, J. Liu, and Y. Liu, "BER analysis using zero-forcing linear precoding scheme for massive MIMO under imperfect channel state information," International Journal of Electronics, vol. 107, no. 6, pp. 951-965, 2020. https://doi.org/10.1080/00207217.2019.1692248
  8. M. Mahdavi, O. Edfors, V. Owall, and L. Liu, "Angular-domain massive MIMO detection: algorithm, implementation, and design tradeoffs," IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 67, no. 6, pp. 1948-1961, 2020. https://doi.org/10.1109/tcsi.2020.2968408
  9. X. Li, F. Huang, and R. Yi, "Low complexity detection algorithm with feedback in massive MIMO," Video Engineering, vol. 40, no. 11, pp. 54-58, 2016.
  10. H. Yang and T. L. Marzetta, "Performance of conjugate and zero-forcing beamforming in large-scale antenna systems," IEEE Journal on Selected Areas in Communications, vol. 31, no. 2, pp. 172-179, 2013. https://doi.org/10.1109/JSAC.2013.130206
  11. A. Kammoun, L. Sanguinetti, M. Debbah, and M. S. Alouini, "Asymptotic analysis of RZF in large-scale MU-MIMO systems over Rician channels," IEEE Transactions on Information Theory, vol. 65, no. 11, pp. 7268-7286, 2019. https://doi.org/10.1109/tit.2019.2923401
  12. S. Park, J. Park, A. Yazdan, and R. W. Heath, "Optimal user loading in massive MIMO systems with regularized zero forcing precoding," IEEE Wireless Communications Letters, vol. 6, no. 1, pp. 118-121, 2017. https://doi.org/10.1109/LWC.2016.2638914
  13. Q. Bi, L. Liang, S. Yang, and P. Chen, "Non-orthogonal multiple access technology for 5G systems," Telecommunications Science, vol. 31, no. 5, pp. 14-21, 2015.
  14. Q. Wang, C. Tang, G. Wu, and D. Peng, "A method of detecting signal for downlink non-orthogonal multiple access," Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition), vol. 28, no. 5, pp. 687-693, 2016.
  15. H. Haci, "Performance study of non-orthogonal multiple access (NOMA) with triangular successive interference cancellation," Wireless Networks, vol. 24, pp. 2145-2163, 2018. https://doi.org/10.1007/s11276-017-1464-7
  16. S. Ahmed and S. Kim, "Efficient SIC-MMSE MIMO detection with three iterative loops," AEU-International Journal of Electronics and Communications, vol. 72, pp. 65-71, 2017. https://doi.org/10.1016/j.aeue.2016.11.015
  17. Q. Deng, L. Guo, J. Lin, and Z. Liu, "A novel RZF precoding method based on matrix decomposition: reducing complexity in massive MIMO systems," IEICE Transactions on Communications, vol. 99, no. 2, pp. 439-446, 2016.
  18. S. Ali, E. Hossain, and D. I. Kim, "Non-orthogonal multiple access (NOMA) for downlink multiuser MIMO systems: user clustering, beamforming, and power allocation," IEEE Access, vol. 5, pp. 565-577, 2016. https://doi.org/10.1109/ACCESS.2016.2646183