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MIMO-FTN Transceiver Structure Using W-ZF Method

W-ZF 기법을 이용한 MIMO-FTN 송수신 구조 연구

  • Seo, Jung-hyun (Department of Radio Communication Engineering, Korea Maritime and Ocean University) ;
  • Jung, Ji-won (Department of Radio Communication Engineering, Korea Maritime and Ocean University)
  • Received : 2017.03.07
  • Accepted : 2017.04.24
  • Published : 2017.07.31

Abstract

In this paper, we propose a decoding method that improves the transmission rate and reliability by integrating MIMO(Multiple Input Multiple Output) communication scheme using turbo code and FTN(Faster Than Nyquist) scheme among high rate and high reliability wireless communication schemes in wireless communication. The existing MIMO-FTN(Multiple Input Multiple Output-Faster Than Nyquist) scheme based on hierarchical space-time coded method induced data rate loss due to the application of the space-time trellis coding scheme to remove adjacent symbol interference due to FTN scheme. To solve these problems, this paper proposes a method using W-ZF(Weighted-Zero Forcing) which overcomes the disadvantages of ZF(Zero Forcing) scheme in MIMO-FTN scheme using ZF scheme. In this paper, we compared the performance and the transmission rate of the MIMO-FTN scheme based on the hierarchical space-time coding, the MIMO-FTN scheme using W-ZF and the SISO-FTN scheme. As a result, the MIMO-FTN scheme using the W-ZF scheme is two times better than the other two schemes.

본 논문에서는 무선 통신에서의 높은 전송률과 신뢰도 있는 무선 통신 방안 중 터보 부호를 이용한 MIMO(Multiple Input Multiple Output) 통신 기법과 FTN(Faster Than Nyquist) 기법을 접목시켜 전송률을 향상시키며 신뢰성을 높일 수 있는 복호 방법을 제안한다. 기존의 계층적 시공간 부호화 기반의 MIMO-FTN(Multiple Input Multiple Output-Faster Than Nyquist) 기법은 FTN으로 인한 인접 심볼 간섭을 제거하기 위한 시공간 부호화 방식의 적용으로 전송률의 손해를 초래한다. 이러한 문제점을 해결하기 위해 본 논문에서는 ZF(Zero Forcing) 기법을 이용한 MIMO-FTN 기법에서 ZF 기법의 단점을 보완한 W-ZF(Weighted-Zero Forcing)을 이용한 방식을 제안한다. 본 논문에서는, 시뮬레이션을 통해 계층적 시공간 부호화 기반의 MIMO-FTN 기법과, W-ZF을 적용한 MIMO-FTN 기법, SISO-FTN 기법에서 FTN의 간섭량에 따른 성능과 전송률을 비교 하였다. 그 결과 W-ZF 기법을 적용한 MIMO-FTN 기법이 다른 두 기법보다 전송률에서 2배 더 좋은 것을 확인할 수 있다.

Keywords

References

  1. S. H. Lim, K. S. Kim, and J. W. Choi, "Detection techniques for high deimensional spatial muliplexing MIMO system," The Journal of the Korean Institute of Communication Sciences, vol. 39A, no. 7, pp. 413-423, Jul. 2014. https://doi.org/10.7840/kics.2014.39A.7.413
  2. J. E. Mazo, "Faster-than-Nyquist signaling," The Bell System Technical Journal, vol. 54, no. 8, pp. 1451-1462, Oct. 1975. https://doi.org/10.1002/j.1538-7305.1975.tb02043.x
  3. J. B. Anderson, F. Rusek, V. Owall, "Faster than Nyquist signaling," Proceeding of the IEEE, vol. 101, no. 8, pp. 1817-1830, Aug. 2013.
  4. M. El Hefnawy, and H. Taoka, "Overview of Faster- Than-Nyquist for Future Mobile Communication Systems," in Proceeding 77th IEEE Vehicular Technology Conference, pp. 1-5, Dresden, Germany, Jun. 2013.
  5. M. Yuhas, Y. Feng, and J. Bajcsy, "On the Capacity of Faster-than-Nyquist MIMO Transmission with CSI at the Receiver," IEEE Globecom Workshops, pp. 1-6, Dec. 2015.
  6. G. W. Park and J. W. Jung, "A Study of MIMO FTN Scheme based on Layered Space Time Code using Turbo Code," Journal of the Korea Institute of Information and Communication Engineering, vol. 20, no. 5, pp. 895-901, May 2016. https://doi.org/10.6109/jkiice.2016.20.5.895
  7. C. U. Baek and J. W. Jung, "A Study on LDPC Coded MIMO-FTN Transmission Method," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 7, (in press), Jul. 2017.
  8. C. Douillard and C. Berrou, "Turbo codes with rate-m/(m + 1) constituent convolutional codes," IEEE Transactions on Communications, vol. 53, no. 10, pp. 1630-1638, Oct. 2005. https://doi.org/10.1109/TCOMM.2005.857165
  9. J. Lu and J. Li, "A soft detector with good performance/complexity trade-off for a MIMO system," EURASIP Journalon Applied Signal Processing, vol. 2004, no. 9, pp. 1266-1274, 2004. https://doi.org/10.1155/S1110865704312047
  10. Y. M. Kim, P. P. Shang, and S. Y. Kim, "Estimation of soft deicion channel gain for coded MIMO system," The Journal of the Korean Institute of Communication Sciences, vol. 36, no. 6, pp. 577-586, Jun. 2011. https://doi.org/10.7840/KICS.2011.36A.6.577
  11. L. Bahl, J. Cocke, F. Jelinek, and J. Raviv, "Optimal decoding of linear codes for minimizing symbol error rate," IEEE Transactions on Information Theory, vol. IT-20, no. 2, pp. 284- 287, Mar. 1974.