DOI QR코드

DOI QR Code

Performance Analysis of LR-aided ZF Receiver for MIMO Systems

  • Kim, Sangchoon (Department of Electronics Engineering, Dong-A University)
  • 투고 : 2018.07.01
  • 심사 : 2018.07.16
  • 발행 : 2018.09.30

초록

Lattice-reduction (LR) techniques have been developed for signal detection in spatial multiplexing multiple input multiple output (MIMO) systems to obtain the largest diversity gain. Thus, an LR-assisted zero-forcing (ZF) receiver can achieve the maximum diversity gain in spatial multiplexing MIMO systems. In this paper, a simplified analysis of the achievable diversity gain is presented by fitting the channel coefficients lattice-reduced by a complex Lenstra-Lenstra-$Lov{\acute{a}}z$ (LLL) algorithm into approximated Gaussian random variables. It will be shown that the maximum diversity gain corresponding to two times the number of receive antennas can be achieved by the LR-based ZF detector. In addition, the approximated bit error rate (BER) expression is also derived. Finally, the analytical BER performance is comparatively studied with the simulated results.

키워드

참고문헌

  1. D. Wübben, D. Seethaler, J. Jalden, and G. Matz, "Lattice reduction: A survey with applications in wireless communications," IEEE Trans. Signal Process. Mag., vol. 28, no. 3, pp. 70-91, May 2011. DOI: 10.1109/MSP.2010.938758.
  2. M. Taherzadeh, A. Mobasher, and A. K. Khandani, "Communication over MIMO broadcast channels using lattice-basis reduction," IEEE Trans. Information Theory, vol. 53, no. 12, pp. 4567-4582, Dec. 2007. DOI: 10.1109/TIT.2007.90909.
  3. X. Ma and W. Zhang, "Performance analysis for MIMO systems with lattice-reduction aided linear equalization," IEEE Trans. Commun., vol. 56, no. 2, pp. 309-318, Feb. 2008. DOI: 10.1109/TCOMM.2008.060372.
  4. Y. H. Gan, C. Ling, and W. H. Mow, "Complex lattice reduction algorithm for low-complexity full-diversity MIMO detection," IEEE Trans. Signal Processing, vol. 57, no. 7, pp. 2701-2710, July 2009. DOI: 10.1109/TSP.2009.2016267.
  5. M. Niroomand and M. Derakhtian, "A low complexity diversity achieving decoder based on a two-stage lattice reduction in frequency-selective MIMO channels," IEEE Trans. Wireless Commun., vol. 16, no. 4, pp. 2465-2477, Apr. 2017. DOI: 10.1109/TWC.2017.2665485.
  6. A. K. Lenstra, H. W. Lenstra, and L. Lovasz, "Factoring polynomials with rational coefficients," Mathematische Annalen, vol. 261, no. 4, pp. 515-534, 1982. DOI: 10.1007/s00208-003-0410-4.
  7. B. Lin, C. Jinho, and Y. Quan, Low complexity MIMO receivers. Springer Publishing Company, Incorporated; 2014.
  8. J. S. Yang, T. C. Shin, and M. H. Lee, "MIMO channel diagonalization: Linear detection ZF, MMSE" The Journal of The Institute of Internet, Broadcasting and Communication., vol. 16, no. 1, pp. 15-20, Feb. 2016. DOI: 10.7236/JIIBC.2018.18.3.43.