Asymptotic Outage Probability of Dual-Branch Equal-Gain Combining over Correlated, Non-Identically Distributed Lognormal Fading Channels
Asymptotic Outage Probability of Dual-Branch Equal-Gain Combining over Correlated, Non-Identically Distributed Lognormal Fading Channels
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DOI：
10.1109/icc.2018.8422919
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发表时间：
2018-05
期刊：
影响因子：
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通讯作者：
Bingcheng Zhu;Julian Cheng;Yongjin Wang;Jinyuan Wang;Yi Jin;Peng Chen;Yuan Jiang
中科院分区：
文献类型：
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作者：
Bingcheng Zhu;Julian Cheng;Yongjin Wang;Jinyuan Wang;Yi Jin;Peng Chen;Yuan Jiang
对数正态衰落信道上等增益组合（EGC）的精确中断概率分析结果是多重积分，而传统的渐近分析方法由于对数正态衰落信道的无穷分集阶而不能适用于该信道。本文推导了具有不同统计量的相关对数正态衰落信道上双支路EGC的闭型渐近中断概率表达式。新结果揭示了长期存在的相关对数正态衰落信道渐近分析问题的见解，为分析更一般的信道模型铺平了道路。该结果也为评价双支路EGC在高信噪比相关和非同分布对数正态信道上的性能提供了一种有效的方法。
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.