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An Adaptive Decoding Algorithm Using the Differences Between Level Radii for MIMO Systems  

Kim, Sang-Hyun (가톨릭대학교 정보통신전자공학부 통신신호처리 연구실)
Park, So-Ryoung (가톨릭대학교 정보통신전자공학부 통신신호처리 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.35, no.7C, 2010 , pp. 618-627 More about this Journal
Abstract
In this paper, we propose an adaptive K-best algorithm in which the number K of candidates is changed according to the differences of level radii. We also compare the bit error performance and complexity of the proposed algorithm with those of several conventional K-best algorithms, where the complexity is defined as the total number of candidates of which partial Euclidean distances have to be calculated. The proposed algorithm adaptively decides K at each level by eliminating the symbols, whose differences of radii are larger than a threshold, from the set of candidates, and the maximum or average value of differences can be adopted as the threshold. The proposed decoding algorithm shows the better bit error performance and the lower complexity than a conventional K-best decoding algorithm with a constant K, and also has a similar bit error performance and the lower complexity than other adaptive K-best algorithms.
Keywords
MIMO system; sphere decoding; K-best algorithm; adaptive algorithm; level radius;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 이성호, 신명철, 서정태, 이충용, "다중 송수신 안테나 시스템 기반에서 오차 전달을 고려한 효율적인 K-best 복호화 알고리듬," 전자공학회논문지 (TC), 42권 7호, pp.71-78, 2005년 7월   과학기술학회마을
2 김종욱, 강지원, 이충용, "다중 송수신 안테나 시스템에서 적응 K-best 검출 알고리즘," 전자공학회논문지 (TC), 43권 10호, pp.1-7, 2006년 10월.   과학기술학회마을
3 M. Jankiraman, Space-Time codes and MIMO systems, Artech House, 2004.
4 A. Paulraj, R. Nabar, and D. Gore, Introduction to Space-Time Wireless Communications, 1st Ed., Cambridge Univ. Press, 2003.
5 A. Goldsmith, S. A. Jafar, N. Jindal, and S. Vishwanath, "Capacity limits of MIMO channels," IEEE J. Sel. Ar. Comm., Vol.21, pp.684-702, June 2003.   DOI   ScienceOn
6 R. Verma, S. Mahajan, and V. Rohila, "Classification of MIMO channel models," Proc. IEEE Int. Conf. Networks (ICON), pp.1-4, Dec. 2008.
7 W. Fan, A. Ghosh, C. Sankaran, P. Fleming, F. Hsieh, and S. Benes, "Mobile WIMAX systems: performance and evolution," IEEE J. Comm. Mag., Vol.46, pp.41-49, Oct. 2008.   DOI
8 J. Jalden, B. Ottersten, G. D. Golden, and R. A. Valenzuela, "An exponential lower bound on the expected complexity of sphere decoding," Proc. IEEE Int. Conf. Acoust. Sp. Sig. Process. (ICASSP), pp.393-396, May 2004.
9 K. W. Wong, "Reduced-complexity architectures of symbol detection algorithms in MIMO channel," Master Thesis, The Hong Kong University of Science and Technology, Aug. 2001.
10 K. W. Wong, C. Y. Tsui, R. S. Kwai Cheng, and W. H. Mow, "A VLSI architecture of a K-best lattice decoding algorithm for MIMO channels," Proc. Pers. Indoor and Mobile Radio Comm. (PIMRC), Feb. 2002.
11 A. M. Chan and I. Lee, "A new reduced-complexity sphere decoder for multiple antenna systems," Proc. IEEE Int. Conf. Comm. (ICC), pp.460-464, Apr. 2002.