A new technique for analyzing asymptotic outage performance of diversity over lognormal fading channels

Bingcheng Zhu, Julian Cheng, Jun Yan, Jinyuan Wang, Lenan Wu, Yongjin Wang
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引用次数: 4

Abstract

Existing asymptotic analysis techniques fail to provide closed-form asymptotic outage probability expressions for lognormal fading channels due to the fact that lognormal fading channel distributions have an infinite diversity order. In this work, we develop a new analytical technique to study the asymptotic outage probability of maximum-ratio combining and equalgain combining over independent lognormal fading channels. The derived closed-form asymptotic expressions, which can be expressed in terms of the well-known Marcum-Q function, are accurate in high signal-to-noise ratio (SNR) regimes. The results reveal insights into the long-standing problem of asymptotic analyses for diversity systems over lognormal fading channels, and can help circumvent the time-consuming Monte Carlo simulation and numerical integration in large SNR region.
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对数正态衰落信道上分集渐近中断性能分析的新方法
由于对数正态衰落信道分布具有无穷分集阶,现有的渐近分析技术无法给出对数正态衰落信道的闭型渐近中断概率表达式。本文提出了一种新的分析方法来研究独立对数正态衰落信道上的最大比合并和相等合并的渐近中断概率。推导出的闭型渐近表达式,可以用众所周知的Marcum-Q函数表示,在高信噪比(SNR)条件下是准确的。研究结果揭示了对数正态衰落信道上分集系统渐近分析的长期问题,并有助于避免在大信噪比区域进行耗时的蒙特卡罗模拟和数值积分。
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