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Asymptotic Outage Probability of Dual-Branch Equal-Gain Combining over Correlated, Non-Identically Distributed Lognormal Fading Channels

机译:相关非对称分布对数正态衰落信道上双分支等增益组合的渐近中断概率

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Exact outage probability analysis for equal-gain combining (EGC) over lognormal fading channels results in multi-fold integrals, and traditional asymptotic analysis techniques cannot work for lognormal fading channels due to the channels' infinite diversity order. In this work, we derive a closed-form asymptotic outage probability expression for dual-branch EGC over correlated lognormal fading channels with different statistics. The new result reveals insights into the long-standing problem of asymptotic analysis for correlated lognormal fading channels, paving the way for analysis on more general channel models. The result also provides an efficient way to evaluate the performance of dual-branch EGC over correlated and nonidentically distributed lognormal channels at high signal-to-noise ratio.
机译:对数正态衰落信道上的等增益合并(EGC)的精确中断概率分析导致多重积分,并且由于信道的无限分集阶数,传统的渐近分析技术无法用于对数正态衰落信道。在这项工作中,我们在具有不同统计量的相关对数正态衰落信道上,导出了双分支EGC的闭式渐进中断概率表达式。新结果揭示了对相关对数正态衰落信道的长期渐近分析问题的见解,为更通用的信道模型的分析铺平了道路。该结果还提供了一种有效的方法来评估在高信噪比下在相关且非均匀分布的对数正态通道上双分支EGC的性能。

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