Low Complexity Iterative Detection and Decoding using an Adaptive Early Termination Scheme in MIMO system 


Vol. 36,  No. 8, pp. 522-528, Aug.  2011


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  Abstract

The iterative detection and decoding (IDD) has been shown to dramatically improve the bit error rate (BER) performance of the multiple-input multiple-output (MIMO) communication systems. However, these techniques require a high computational complexity since it is required to compute the soft decisions for each bit. In this paper, we show IDD comprised of sphere decoder with low-density parity check (LDPC) codes and present the tree search strategy, called a layer symbol search (LSS), to obtain soft decisions with a low computational complexity. In addition, an adaptive early termination is proposed to reduce the computational complexity during an iteration between an inner sphere decoder and an outer LDPC decoder. It is shown that the proposed approach can achieve the performance similar to an existing algorithm with 70% lower computational complexity compared to the conventional algorithms.

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  Cite this article

[IEEE Style]

H. S. Joung, K. J. Choi, K. J. Kim, K. S. Kim, "Low Complexity Iterative Detection and Decoding using an Adaptive Early Termination Scheme in MIMO system," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 8, pp. 522-528, 2011. DOI: .

[ACM Style]

Hyun Sung Joung, Kyung Jun Choi, Kyung Jun Kim, and Kwang Soon Kim. 2011. Low Complexity Iterative Detection and Decoding using an Adaptive Early Termination Scheme in MIMO system. The Journal of Korean Institute of Communications and Information Sciences, 36, 8, (2011), 522-528. DOI: .

[KICS Style]

Hyun Sung Joung, Kyung Jun Choi, Kyung Jun Kim, Kwang Soon Kim, "Low Complexity Iterative Detection and Decoding using an Adaptive Early Termination Scheme in MIMO system," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 8, pp. 522-528, 8. 2011.