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


Vol. 35,  No. 7, pp. 618-627, Jul.  2010


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  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  -best algorithms.

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  Cite this article

[IEEE Style]

S. Kim and S. R. Park, "An Adaptive Decoding Algorithm Using the Differences Between Level Radii for MIMO Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 7, pp. 618-627, 2010. DOI: .

[ACM Style]

Sanghyun Kim and So Ryoung Park. 2010. An Adaptive Decoding Algorithm Using the Differences Between Level Radii for MIMO Systems. The Journal of Korean Institute of Communications and Information Sciences, 35, 7, (2010), 618-627. DOI: .

[KICS Style]

Sanghyun Kim and So Ryoung Park, "An Adaptive Decoding Algorithm Using the Differences Between Level Radii for MIMO Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 7, pp. 618-627, 7. 2010.