A Novel Decoding Scheme for MIMO Signals Using Combined Depth- and Breadth-First Search and Tree Partitioning 


Vol. 36,  No. 1, pp. 37-47, Jan.  2011


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  Abstract

In this paper, we propose a novel ML decoding scheme based on the combination of depth- and breadth-first search methods on a partitioned tree for multiple input multiple output systems. The proposed scheme first partitions the searching tree into several stages, each of which is then searched by a depth- or breadth-first search method, possibly exploiting the advantages of both the depth- and breadth-first search methods in an organized way. Numerical results indicate that, when the depth- and breadth-first search algorithms are adopted appropriately, the proposed scheme exhibits substantially lower computational complexity than conventional ML decoders while maintaining the ML bit error performance.

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  Cite this article

[IEEE Style]

M. Lee, Y. Lee, I. Song, S. Yoon, "A Novel Decoding Scheme for MIMO Signals Using Combined Depth- and Breadth-First Search and Tree Partitioning," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 1, pp. 37-47, 2011. DOI: .

[ACM Style]

Myungsoo Lee, Youngpo Lee, Iickho Song, and Seokho Yoon. 2011. A Novel Decoding Scheme for MIMO Signals Using Combined Depth- and Breadth-First Search and Tree Partitioning. The Journal of Korean Institute of Communications and Information Sciences, 36, 1, (2011), 37-47. DOI: .

[KICS Style]

Myungsoo Lee, Youngpo Lee, Iickho Song, Seokho Yoon, "A Novel Decoding Scheme for MIMO Signals Using Combined Depth- and Breadth-First Search and Tree Partitioning," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 1, pp. 37-47, 1. 2011.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880