Performance Analysis of Adaptive Modulation System with Optimal Turbo Coded V-BLAST Technique corresponding to each MIMO

Kyunghwan Lee, Sangjin Ryoo, Kwangwook Choi, Changhyeon Chae, Daewon Choi, Myeungseuk Kang, M. Kang, T. Jung, I. Hwang, Cheolsung Kim
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Abstract

In this paper, we propose and analyze an 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 scheme; 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 scheme with turbo coding scheme and that is decoded by the ML(maximum likelihood) decoding algorithm. In addition, we apply MIMO (multiple input multiple output) schemes to the systems for more performance improvement. The result indicates that the proposed systems achieve a better throughput performance than the conventional systems in the whole SNR range. And in terms of the throughput performance, the suggested system is close proximity to the conventional system using the ML decoding algorithm. In addition, the simulation result shows that the maximum throughput improvement in each MIMO scheme is respectively about 350 kbps, 460 kbps, and 740 kbps. It is suggested that the effect of the proposed decoding algorithm accordingly gets higher as the number of system antenna increases.
各MIMO对应的最优Turbo编码V-BLAST自适应调制系统性能分析
本文提出并分析了一种最优turbo编码V-BLAST(垂直钟-实验室分层时空)技术的自适应调制系统,该系统采用MAP(最大后验)译码器的外部信息,并在V-BLAST方案的两个译码过程中作为先验概率进行迭代译码;排序和切片。此外,我们还考虑并比较了使用传统涡轮编码V-BLAST技术的自适应调制系统,该技术简单地将V-BLAST方案与涡轮编码方案相结合,并使用ML(最大似然)解码算法进行解码。此外,我们将MIMO(多输入多输出)方案应用于系统以进一步提高性能。结果表明,在整个信噪比范围内,该系统比传统系统具有更好的吞吐量性能。在吞吐量性能方面,建议的系统与使用ML解码算法的传统系统非常接近。此外,仿真结果表明,每种MIMO方案的最大吞吐量提升分别约为350 kbps、460 kbps和740 kbps。结果表明,随着系统天线数量的增加,所提译码算法的译码效果也相应提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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