MIMO Detection with Block Parallel Gibbs Sampling and Maximum Ratio Combining

Kosuke Tomura, Y. Sanada, Yutaro Kobayashi
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引用次数: 3

Abstract

In this paper, block parallel Gibbs sampling (BPGS) multiple-input multiple-output (MIMO) detection is proposed. In a conventional Gibbs sampling scheme, MIMO detection is carried out sequentially symbol-by-symbol. The proposed scheme divides a symbol vector to blocks and updates candidate transmit symbols in parallel in a block so that the total number of iterations in a unit period increases. Furthermore, maximum ratio combining (MRC) is adopted to BPGS to improve accuracy in this paper. Numerical results obtained through computer simulations show that bit error rate performance under high bit-energy-to-noise-spectrum-density conditions improves with the proposed scheme. It is also shown that the block size of three achieves the best performance when number of antennas is 16×16 and the number of iterations is 50.
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基于块并行吉布斯采样和最大比值组合的MIMO检测
提出了一种块并行吉布斯采样(BPGS)多输入多输出(MIMO)检测方法。在传统的吉布斯采样方案中,MIMO检测是按顺序逐个符号进行的。该方案将符号向量划分为块,并在块中并行更新候选传输符号,从而增加单位周期内的总迭代次数。此外,本文还将最大比值组合(MRC)应用于BPGS,以提高精度。通过计算机仿真得到的数值结果表明,该方案改善了高比特能量噪声谱密度条件下的误码率性能。当天线个数为16×16,迭代次数为50次时,块大小为3的算法性能最佳。
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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