Adaptive Interference Alignment with CSI Uncertainty
Adaptive Interference Alignment with CSI Uncertainty
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DOI：
10.1109/tcomm.2012.121112.110589
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发表时间：
2012-11
影响因子：
8.3
通讯作者：
Baile Xie;Yang Li;H. Minn;Aria Nosratinia
中科院分区：
文献类型：
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作者：
Baile Xie;Yang Li;H. Minn;Aria Nosratinia
干扰对齐(IA)在高信噪比、多干扰节点存在的情况下可以显著提高总吞吐量，然而，IA的可靠性却鲜为人知，这就是本文的主题。研究了IA的误码性能，并与传统的正交传输方案进行了比较。由于大多数IA算法需要大量的信道状态信息(CSI)，我们还研究了CSI缺陷(不确定性)对误码性能的影响。结果表明，在相同的码率下，对于实际信噪比(SNR)值，免疫算法的误码性能优于正交化方案，但对CSI的不确定性更为敏感。我们设计的比特加载算法显著改善了现有IA方案的误码性能。此外，我们提出了一种自适应传输方案，该方案不仅显著降低了差错概率，而且对CSI不确定性具有鲁棒性。
Interference alignment (IA) is known to significantly increase sum-throughput at high SNR in the presence of multiple interfering nodes, however, the reliability of IA is little known, which is the subject of this paper. We study the error performance of IA and compare it with conventional orthogonal transmission schemes. Since most IA algorithms require extensive channel state information (CSI), we also investigate the impact of CSI imperfection (uncertainty) on the error performance. Our results show that under identical rates, IA attains a better error performance than the orthogonal scheme for practical signal to noise ratio (SNR) values but is more sensitive to CSI uncertainty. We design bit loading algorithms that significantly improve error performance of the existing IA schemes. Furthermore, we propose an adaptive transmission scheme that not only considerably reduces error probability, but also produces robustness to CSI uncertainty.