Performance Analysis of MRC Under Spatially Correlated Interference Using Mixture-Based Method
Performance Analysis of MRC Under Spatially Correlated Interference Using Mixture-Based Method
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DOI：
10.1109/lcomm.2018.2869785
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发表时间：
2018-09
期刊：
影响因子：
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通讯作者：
Arindam Ghosh;Harpreet S. Dhillon
中科院分区：
文献类型：
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作者：
Arindam Ghosh;Harpreet S. Dhillon
干扰相关对无线系统的影响通常是通过将干扰源的位置建模为泊松点过程(PPP)来研究的。然而，在许多情况下，这种关联的复杂性质限制了基于购买力平价的方法的分析可操作性。例如，对于干扰感知的$N$天线最大比合并(MRC)接收机，中断概率的解析表达式仅在$N=2$时可用。对于$N>；2$，使用基于PPP的标准方法的准确分析变得困难，因为人们不得不求助于界限或模拟。在这封信中，我们克服了这个问题，并通过使用基于混合的方法来模拟干扰功率的相关性，推导出任意$N$的MRC中断概率。这种方法为相关干扰提供了一个简单得多的分析结构，从而为此类分析提供了分析上的可操作性。基于联合信干比(SIR)统计的匹配来调整混合参数($Q$)，从而产生非常准确的基于混合的结果。用蒙特卡罗模拟验证了这些近似的紧密性。
Effect of interference correlation on wireless systems is often studied by modeling the locations of interferers as a Poisson point process (PPP). However, in many cases, the complicated nature of this correlation limits the analytical tractability of the PPP-based approach. For example, for an interference-aware $N$ -antenna maximum-ratio combining (MRC) receiver, the analytical expression for outage probability is available only for $N=2$ . For $N>2$ , the exact analysis using the standard PPP-based approach becomes intractable because of which one has to either resort to bounds or to simulations. In this letter, we overcome this issue and derive the MRC outage probability for an arbitrary $N$ by employing the mixture-based method of modeling the correlation in the interference powers. This method offers a much simpler analytical structure to the correlated interference, thereby lending analytical tractability to such analyses. The mixture parameter ( $q$ ) is tuned based on the matching of joint signal-to-interference ratio (SIR) statistics, which results in a very accurate mixture-based result. The tightness of these approximations is verified using Monte Carlo simulations.