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On the Definition of Diversity Order Based on Renyi Entropy for Frequency Selective Fading Channels

机译:基于Renyi熵的频率选择性衰落信道分集阶数的定义

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摘要

Outage probabilities are important measures of the performance of wireless communication systems, but to obtain outage probabilities it is necessary to first determine detailed system parameters, followed by complicated calculations. When there are multiple candidates of diversity techniques applicable for a system, the diversity order can be used to roughly but quickly compare the techniques for a wide range of operating environments. For a system transmitting over frequency selective fading channels, the diversity order can be defined as the number of multi-paths if multi-paths have all equal energy. However, diversity order may not be adequately defined when the energy values are different. In order to obtain a rough value of diversity order, one may use the number of multi-paths or the reciprocal value of the multi-path energy variance. Such definitions are not very useful for evaluating the performance of diversity techniques since the former is meaningful only when the target outage probability is extremely small, while the latter is reasonable when the target outage probability is very large. In this paper, we propose a new definition of diversity order for frequency selective fading channels. The proposed scheme is based on Renyi entropy, which is widely used in biology and many other fields. We provide various simulation results to show that the diversity order using the proposed definition is tightly correlated with the corresponding outage probability, and thus the proposed scheme can be used for quickly selecting the best diversity technique among multiple candidates.
机译:中断概率是衡量无线通信系统性能的重要指标,但是要获得中断概率,必须首先确定详细的系统参数,然后进行复杂的计算。当存在适用于系统的多种分集技术候选者时,可以使用分集顺序粗略但快速地比较各种操作环境下的技术。对于在频率选择性衰落信道上传输的系统,如果多径具有全部相等的能量,则可以将分集阶数定义为多径的数量。但是,当能量值不同时,可能无法充分定义分集顺序。为了获得分集阶数的粗略值,可以使用多径的数量或多径能量方差的倒数。这样的定义对于评估分集技术的性能不是很有用,因为前者仅在目标中断概率非常小时才有意义,而后者在目标中断概率很大时才有意义。在本文中,我们提出了频率选择性衰落信道的分集阶数的新定义。所提出的方案基于在生物等许多领域中广泛使用的仁义熵。我们提供了各种仿真结果,表明使用所提出的定义的分集顺序与相应的中断概率紧密相关,因此所提出的方案可用于在多个候选中快速选择最佳分集技术。

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