DOI QR코드

DOI QR Code

A Novel Adaptive Turbo Receiver for Large-Scale MIMO Communications

  • Chang, Yu-Kuan (Department of Electrical Engineering National Chung Hsing University) ;
  • Ueng, Fang-Biau (Department of Electrical Engineering National Chung Hsing University) ;
  • Tsai, Bo-Yi (Department of Electrical Engineering National Chung Hsing University)
  • 투고 : 2017.11.07
  • 심사 : 2018.01.30
  • 발행 : 2018.07.31

초록

Massive (large-scale) MIMO (multiple-input multiple-output) is one of the key technologies in next-generation wireless communication systems. This paper proposes a high-performance low-complexity turbo receiver for SC-FDMA (single-carrier frequency-division multiple access) based MMIMO (massive MIMO) systems. Because SC-FDMA technology has the desirable characteristics of OFDMA (orthogonal frequency division multiple access) and the low PAPR (peak-to-average power ratio) of SC transmission schemes, the 3GPP LTE (long-term evolution) has adopted it as the uplink transmission to meet the demand high data rate and low error rate performance. The complexity of computing will be increased greatly in base station with massive MIMO (MMIMO) system. In this paper, a low-complexity adaptive turbo equalization receiver based on normalized minimal symbol-error-rate for MMIMO SC-FDMA system is proposed. The proposed receiver is with low complexity than that of the conventional turbo MMSE (minimum mean square error) equalizer and is also with better bit error rate (BER) performance than that of the conventional adaptive turbo MMSE equalizer. Simulation results confirm the effectiveness of the proposed scheme.

키워드

참고문헌

  1. H. G. Myung, J. Lim and D. J. Goodman, "Single carrier FDMA for uplink wireless transmission," IEEE Vehicular Technology Magazine, vol. 1, no. 3, pp. 30-38, Sept. 2006. https://doi.org/10.1109/MVT.2006.307304
  2. H. G. Myung and D. J. Goodman, "Single Carrier FDMA: A New Air Interface for Long Term Evolution," John Wiley & Sons, Ltd., Oct. 2008.
  3. P. Li and R. C. de Lamare, "Adaptive Decision-Feedback Detection With Constellation Constraints for MIMO Systems," IEEE Transactions on Vehicular Technology, vol. 61, no. 2, pp. 853-859, Feb. 2012. https://doi.org/10.1109/TVT.2011.2177874
  4. M. Tuchler, A. C. Singer and R. Koetter, "Minimum Mean Squared Error Equalization Using A Priori Information," IEEE Transactions on Signal Processing, vol. 50, no. 3, pp. 673-683, Mar. 2002. https://doi.org/10.1109/78.984761
  5. R. Koetter, A. C. Singer and M. Tuchler, "Turbo equalization," IEEE Signal Processing Magazine, vol. 21, no. 1, pp. 67-80, Jan. 2004. https://doi.org/10.1109/MSP.2004.1267050
  6. M. Marey, O. A. Dobre and R. Inkol, "Blind STBC Identification for Multiple-Antenna OFDM Systems," IEEE Transactions on Communications, vol. 62, no. 5, pp. 1554-1567, April 2014. https://doi.org/10.1109/TCOMM.2014.030214.130875
  7. Y. Ohwatari, N. Miki, Y. Sagae, and Y. Okumura, "Investigation on Interference Rejection Combining Receiver for Space-Frequency Block Code Transmit Diversity in LTE-Advanced Downlink," IEEE Transactions on Vehicular Technology, vol. 63, no. 1, pp. 191-203, Jan. 2014. https://doi.org/10.1109/TVT.2013.2271508
  8. M. Ahn, C. Song and I. Lee, "Diversity Analysis of Coded Spatial Multiplexing MIMO AF Relaying Systems," IEEE Transactions on Vehicular Technology, vol. 63, no. 7, pp. 3435-3439, Sep. 2014. https://doi.org/10.1109/TVT.2013.2294648
  9. S. Chen, S. Tana, L. Xua, and L. Hanzoa, "Adaptive minimum error-rate filtering design: a review," Signal Process., vol. 88, no. 7, pp. 1671-1697, July 2008. https://doi.org/10.1016/j.sigpro.2008.01.012
  10. M. R. McKay, I. B. Collings and A. M. Tulino, "Achievable sum rate of MIMO MMSE receivers: a general analytic framework," IEEE Transactions on Information Theory, vol. 56, no. 1, pp. 396-410, Jan. 2010. https://doi.org/10.1109/TIT.2009.2034893
  11. C.-C. Yeh and J. R. Barry, "Adaptive minimum symbol-error rate equalization for quadrature-amplitude modulation," IEEE Trans. Signal Process, vol. 51, no. 12, pp. 3263-3269, Dec. 2003. https://doi.org/10.1109/TSP.2003.819081
  12. C.-C. Yeh and J. R. Barry, "Adaptive minimum bit-error rate equalization for binary signaling," IEEE Trans. Commun., vol. 48, pp. 1226-1236, July 2000. https://doi.org/10.1109/26.855530
  13. B. Mulgrew and S. Chen, "Adaptive minimum-BER decision feedback equalisers for binary signalling," Submitted to elsevier signal processing, pp. 1-17, Oct. 1999
  14. S. Chen, L. Hanzo, and B. Mulgrew, "Adaptive minimum symbol error-rate decision feedback equalization for multi-level pulse-amplitude modulation," IEEE Trans. Signal Process., vol. 52, no. 7, pp. 2092-2101, July 2004. https://doi.org/10.1109/TSP.2004.828944
  15. S. Chen, L. Hanzo, and A. Livingstone, "MBER space-time decision feedback equalization assisted multiuser detection for multiple antenna aided SDMA systems," IEEE Trans. Signal Process., vol. 54, no. 8, pp. 3090-3098, Aug. 2006. https://doi.org/10.1109/TSP.2006.877666
  16. S. Chen, N. N. Ahmad, and L. Hanzo, "Adaptive minimum bit-error rate beamforming," IEEE Trans. Wireless Commun., vol. 4, no. 2, pp. 341-348, Feb. 2005. https://doi.org/10.1109/TWC.2004.842981
  17. J. Gunther and T. Moon, "Minimum symbol error rate carrier phase recovery of QPSK," IEEE Trans. Signal Process., vol. 57, no. 8, pp. 3101-3107, Aug. 2009. https://doi.org/10.1109/TSP.2009.2020746
  18. N. B. Jayaraj, "Minimum symbol error rate timing recovery system," thesis, Utah State University. 2010.
  19. A. Hjoungnes and P. S. R. Diniz, "Minimum BER prefilter transform for communications systems with binary signaling and known FIR MIMO channel," IEEE Signal Process. Letters, vol. 3, no. 12, pp. 234-237, Dec. 2005.
  20. H.-R. Zhuang, L. Dai, S.-D. Zhou, and Y. Yao, "Low complexity per antenna rate and power control approach for closed-loop V-BLAST," IEEE Trans. Commun., vol. 51, no. 11, pp. 1783-1787, Nov. 2003. https://doi.org/10.1109/TCOMM.2003.819227
  21. N. Wang and S.D. Blostein, "Comparison of CP-based single carrier and OFDM with power allocation," IEEE Trans. Commun., vol. 53, no. 3, pp. 391-394, Mar. 2005. https://doi.org/10.1109/TCOMM.2005.843432
  22. M. Gong, F. Chen, H. Yu, Z. Lu and L. Hu, "Normalized Adaptive Channel Equalizer Based on Minimal Symbol-Error-Rate," IEEE Transactions On Communications, vol. 61, no. 4, pp. 1374-1383, April 2013. https://doi.org/10.1109/TCOMM.2013.13.120698
  23. S. O. Haykin, Adaptive Filter Theory, Prentice Hall, 5 edition, June 2013.
  24. H.-F. Wang, Y.-S. Shen, J.-C. Chang, F.-B. Ueng and K.-H. Wu, "Turbo OFDM-CDMA Receiver with Varying Stepsize in Multipath Fading Channels," in Proc. of IEEE Global Conference on Consumer Electronics, pp. 311-314, Oct. 2013.
  25. S. Dixit, and D. Nagaria, "Neural Network Implementation of Least-Mean Square Adaptive Noise Cancellation," in Proc. of International Conference on Issues and Challenges in Intelligent Computing Techniques, pp. 134-139, Feb. 2014.
  26. K. Kim, N. Kalantarova, S. S. Kozat and A. C. Singer, "Linear MMSE-Optimal Turbo Equalization Using Context Trees," IEEE Transactions On Signal Processing, vol. 61, no. 12, pp. 3041-3055, Jun. 2013. https://doi.org/10.1109/TSP.2013.2256899
  27. S. Saranya and B. Elango, "Implementation of PWL and LUT based Approximation for Hyperbolic Tangent Activation Function in VLSI," in Proc. International Conference on Communication and Signal Processing, pp. 1778-1782, April 2014.
  28. P. K. Meher, "An optimized lookup-table for the evaluation of sigmoid function for artificial neural networks," in Proc. IEEE VLSI System on Chip Conference, pp. 91-95, Sept. 2010
  29. E. Larsson, O. Edfors, F. Tufvesson and T. Marzetta, "Massive MIMO for next generation wireless systems," IEEE Communications Magazine, vol. 52, no. 2, pp. 186-195, Feb. 2014 https://doi.org/10.1109/MCOM.2014.6736761
  30. M. Wu, B. Yin, G. Wang, C. Dick, J. R. Cavallaro and C. Studer, "Large-Scale MIMO Detection for 3GPP LTE: Algorithms and FPGA Implementations," IEEE Selected Topics in Signal Processing, vol. 8, no. 5, March 2014.
  31. M. B. Uddin, M. Z. I. Sarkar, K. N. Faisal and M. M. Ali, "Performance Analysis of Nakagami-m Fading Massive MIMO Channels with Linear Receivers," in. Proc. International Conference on Computer and Information Technology, pp. 510-513, Dec. 2014.
  32. Z. Xiao and Z. Li, "Analysis of Massive MIMO Systems Downlink Precoding Performance," in Proc. of International Conference on Communications and Networking, pp. 453-456, Aug. 2014
  33. M. Wu, C. Dick, J. R. Cavallaro and C. Studer, "Iterative detection and decoding in 3GPP LTE-based massive MIMO systems," in Proc. of IEEE Signal Processing Conference, pp. 96-100, Sept. 2014.
  34. J. Zhou, Y. Ye, J. Hu, "Biased MMSE Soft-Output Detection Based on Jacobi Method in Massive MIMO," in Proc. of IEEE International Conference Communication Problem-Solving, pp. 442-445, Dec. 2014.
  35. S. K. Mohammed, "Impact of Transceiver Power Consumption on the Energy Efficiency of Zero-Forcing Detector in Massive MIMO Systems," IEEE Transactions on Communications, vol. 62, no. 11, pp. 3874-3890, Oct. 2014. https://doi.org/10.1109/TCOMM.2014.2364188
  36. Y. Li, Y.-H. Nam and B. L. Ng, "Zero-forcing Receiver in Uplink Massive MIMO," in Proc. IEEE Globecom Workshops, pp. 140-144, Dec. 2013.
  37. Y. Sheng, Z. Tan and G. Y. Li, "Single-Carrier Modulation with ML Equalization for Large-Scale Antenna Systems over Rician Fading Channels," in Proc. IEEE International Conference on Acoustic, Speech and Signal Processing, pp. 5759-5763, May 2014.
  38. T. Chen and H. Leib, "GPU Acceleration for Fixed Complexity Sphere Decoder in Large MIMO Uplink Systems," in Proc. of IEEE Conference on Electrical and Computer Engineering, pp. 771-777, May 2015.
  39. Y. Wu and J. McAllister, "FPGA-based Tabu Search for Detection in Large-Scale MIMO Systems," in Proc. of IEEE Workshop on Signal Processing Systems, pp. 1-6, Oct. 2014
  40. Spatial Channel Model for Multiple Input Multiple Output (MIMO) Simulations A Ray Tracing Simulator Based on 3GPP TR 25.996 v. 6.1.0, Developed by: Ioannis A. Xirouchakis, Undergraduate Student, Physics Department, University of Athen.
  41. H. Lou and C. Xiao, "Soft-Decision Feedback Turbo Equalization for Multilevel Modulations," IEEE Transactions on Signal Processing, vol. 59, no. 1, pp. 186-195, Jan. 2011. https://doi.org/10.1109/TSP.2010.2083656
  42. L. A. Perisoara, and R. Stoian, "The Decision Reliability of MAP, Log-MAP, Max-Log-MAP and SOVA Algorithms or Turbo Codes," International Journal of Communications, vol. 2, no. 1, 2008.