Interference Alignment for Uplink Cellular Systems with Limited Feedback
Interference Alignment for Uplink Cellular Systems with Limited Feedback
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DOI：
10.1109/lcomm.2012.050112.120316
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发表时间：
2012-07-01
期刊：
影响因子：
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通讯作者：
Seo, Hanbyul
中科院分区：
文献类型：
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作者：
Cho, Sungyoon;Huang, Kaibin;Seo, Hanbyul
在假设信道状态信息完美的前提下，[2]中提出的现有干扰对准（IA）算法通过将cell间干扰对准随机选择的参考向量来抑制cell间干扰（ICI）。然而，在实践中，IA依赖于有限的反馈，导致残留的ICI。在这封信中，我们提出了优化参考向量来调节残余ICI。具体地说，最小化残余ICI功率上界的参考向量是与干涉信道矩阵的和的最大特征值相对应的特征向量乘以它们对应的厄米特矩阵。此外，通过仿真分析，与[2]中已有的IA算法相比，本文提出的IA算法的性能增益显著。
Assuming perfect channel state information, the existing interference alignment (IA) algorithm proposed in [2] suppresses inter-cell interference (ICI) by aligning ICI to a randomly selected reference vector. However, IA in practice relies on limited feedback, resulting in residual ICI. In this letter, we propose the optimization of the reference vector for regulating the residual ICI. Specifically, it is shown that the reference vector that minimizes an upper bound on the residual ICI power is the eigenvector corresponding to the largest eigenvalue of the sum of the interference-channel matrices multiplied by their corresponding Hermitian matrices. Moreover, the performance gain of the proposed IA algorithm compared with the existing one in [2] is analyzed and demonstrated by simulation to be significant.