Soft-Decision Algorithm with Low Complexity for MIMO Systems Using High-Order Modulations 


Vol. 40,  No. 6, pp. 981-989, Jun.  2015


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  Abstract

In a log likelihood ratio(LLR) calculation of the detected symbol, multiple-input multiple-output(MIMO) system applying an optimal or suboptimal algorithm such as a maximum likelihood(ML) detection, sphere decoding(SD), and QR decomposition with M-algorithm Maximum Likelihood Detection(QRM-MLD) suffers from exponential complexity growth with number of spatial streams and modulation order. In this paper, we propose a LLR calculation method with very low complexity in the QRM-MLD based symbol detector for a high order modulation based NT × NR MIMO system. It is able to approach bit error rate(BER) performance of full maximum likelihood detector to within 1 dB. We also analyze the BER performance through computer simulation to verify the validity of the proposed method.

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  Cite this article

[IEEE Style]

J. Lee and K. Kim, "Soft-Decision Algorithm with Low Complexity for MIMO Systems Using High-Order Modulations," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 6, pp. 981-989, 2015. DOI: .

[ACM Style]

Jaeyoon Lee and Kyoungtaek Kim. 2015. Soft-Decision Algorithm with Low Complexity for MIMO Systems Using High-Order Modulations. The Journal of Korean Institute of Communications and Information Sciences, 40, 6, (2015), 981-989. DOI: .

[KICS Style]

Jaeyoon Lee and Kyoungtaek Kim, "Soft-Decision Algorithm with Low Complexity for MIMO Systems Using High-Order Modulations," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 6, pp. 981-989, 6. 2015.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880