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The Optimal Turbo Coded V-BLAST Technique in the Adaptive Modulation System corresponding to each MIMO Scheme  

Lee, Kyung-Hwan (Dept. of Electronics & Computer Eng. Chonnam National University)
Ryoo, Sang-Jin (Dept. of Electronics & Computer Eng. Chonnam National University)
Choi, Kwang-Wook (Dept. of Electronics & Computer Eng. Chonnam National University)
You, Cheol-Woo (Dept. of Communication Eng. Myongji University)
Hong, Dae-Ki (Dept. of I & T Eng. Sangmyoung University)
Kim, Dae-Jin (Dept. of Electronics & Computer Eng. Chonnam National University)
Hwang, In-Tae (Dept. of Electronics & Computer Eng. Chonnam National University)
Kim, Cheol-Sung (Dept. of Electronics & Computer Eng. Chonnam National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea TC / v.44, no.6, 2007 , pp. 40-47 More about this Journal
Abstract
In this paper, we propose and analyze the Adaptive Modulation System with optimal Turbo Coded V-BLAST(Vertical-Bell-lab Layered Space-Time) technique that adopts the extrinsic information from MAP (Maximum A Posteriori) Decoder with Iterative Decoding as a priori probability in two decoding procedures of V-BLAST; the ordering and the slicing. Also, we consider and compare the Adaptive Modulation System using conventional Turbo Coded V-BLAST technique that is simply combined V-BLAST with Turbo Coding scheme and the Adaptive Modulation System using conventional Turbo Coded V-BLAST technique that is decoded by the ML (Maximum Likelihood) decoding algorithm. We observe a throughput performance and a complexity. As a result of a performance comparison of each system, it has been proved that the complexity of the proposed decoding algorithm is lower than that of the ML decoding algorithm but is higher than that of the conventional V-BLAST decoding algorithm. however, we can see that the proposed system achieves a better throughput performance than the conventional system in the whole SNR (Signal to Noise Ratio) range. And the result shows that the proposed system achieves a throughput performance close to the ML decoded system. Specifically, a simulation shows that the maximum throughput improvement in each MIMO scheme is respectively about 350 kbps, 460 kbps, and 740 kbps compared to the conventional system. It is suggested that the effect of the proposed decoding algorithm accordingly gets higher as the number of system antenna increases.
Keywords
AMC; Turbo Code; V-BLAST; MIMO; Iterative Decoding;
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