전자공학회논문지 (Journal of the Institute of Electronics and Information Engineers)

  • 제50권8호
  • /
  • Pages.61-66
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  • 2013
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  • 2287-5026(pISSN)
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  • 2288-159X(eISSN)
대한전자공학회 (The Institute of Electronics and Information Engineers)
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저연산 연판정 기반의 다중 안테나 반복검출 기법

Iterative MIMO Reception Based on Low Complexity Soft Detection

  • 투고 : 2013.06.04
  • 발행 : 2013.08.15
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초록

본 논문에서는 채널부호화 다중 안테나 시스템에서 공간다중화 전송된 신호들을 효과적으로 복조하기 위한 저연산 연판정 복조 다중 안테나 반복검출 기법을 제시한다. 반복 검출기법의 경우 우수한 성능에도 불구하고 연산량의 복잡성으로 수신단에 높은 복잡도를 요청하게 된다. 이러한 복잡도 감소를 위해 차원감소 소프트 검출 기법 (DRSD)과 모든 순서 순차적 간섭 제거(AOSIC) 기법을 사용한다. 이 기법의 경우 기존 기법들에 비해 반복검출 기법의 연산량의 복잡성을 줄일 수 있으며 향상된 성능을 얻을 수 있다.

In this paper, we propose an iterative soft dimension reduction based multi-input multi-output (MIMO) detection for coded spatial multiplexing system. In spite of better performance of iterative MIMO detection, its computational complexity gives a significant burden to the receivers. To mitigate this problem, we propose a scheme employing all ordering successive interference cancellation (AOSIC) for hard-decision detection and dimension reduction soft demodulator (DRSD) with iterative decoding for soft-decision detectors, respectively. This scheme can reduce complexity of iterative soft MIMO detection and provide better performance than other conventional detectors.

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참고문헌

  1. D. Bai, C. Park, J. Lee, H. Nquyen, J. Singh, A. Gupta, Z. Pi, T. Kim, C. Lim, M. Kim, and I. Kang, "LTE-advanced modem design: challenges and perspectives," IEEE Commun. Magazine, Vol. 50, pp. 178-186, Feb. 2012.
  2. P. Wolniansky, G. Foschini, G. Golden, and R. Valenzuela, "V-BLAST: Architecture for realizing very high data rates over the rich scattering wireless channel," in Proc. of International symposium on Signals, Systems, and Electronics, pp. 295-300, June, 1998.
  3. M. O. Damen, H. E. Gamal, and G. Caire, "On maximum-likelihood detection and the search for the closest lattice point," IEEE Trans. Inform Theory, Vol. 49, pp. 2389-2402, Oct. 2003. https://doi.org/10.1109/TIT.2003.817444
  4. C. E. Shannon (1947), The mathematical theory of communication, Urbana, University of Illinois Press.
  5. S. Hochwald and S. Ten Brick, "Achieving near-capacity on a multiple-antenna channel," IEEE Trans. Commun., Vol. 51, pp. 389-399, Mar. 2003. https://doi.org/10.1109/TCOMM.2003.809789
  6. L. G. Barbero and J. S. Thompson, "Extendng a fixed-complexity sphere decoder to obtain likelihood information for turbo-MIMO systems," IEEE Trans. Vehicular Tech., Vol. 57, pp. 2804-2814, Sept. 2008. https://doi.org/10.1109/TVT.2007.914064
  7. J.-W. Choi, J. Lee, H. Lou, and J. Park, "Improved MIMO SIC detection exploiting ML criterion," in Proc. of Vehicular Technology Conference (VTC), pp. 1-5, Sept. 2011.
  8. J. Lee, J.-W. Choi, and H.-L. Lou, "MIMO maximum likelihood soft demodulation based on dimension reduction," in Proc. of IEEE Globecom, pp. 1-5, Dec. 2010.
  9. J.-W. Choi, J. P. Choi and H.-L. Lou, "MIMO soft near-ML demoulation with fixed low-complexity candidate selection," IEICE Trans. Commun, Vol.E95-B, No.9, pp. 2884-2891, Sept. 2012.
  10. X. Wang and H. V. Poor, "Iterative (turbo) soft interference cancellation and decoding for coded CDMA," IEEE Trans. Commun, Vol. 47, pp. 1046-1061, July, 1999. https://doi.org/10.1109/26.774855
  11. C. Studer and H. Bolcskei, "Soft-input soft-output single tree-search sphere decoding," IEEE Trans. Inf. Theory, Vol. 56, pp. 4827-4842, Oct. 2010. https://doi.org/10.1109/TIT.2010.2059730