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

Authors
Chae, SeungyeobRim, Minjoong
Issue Date
Apr-2017
Publisher
MDPI AG
Keywords
diversity; diversity order; Renyi entropy; frequency selective fading; outage probability
Citation
ENTROPY, v.19, no.4
Indexed
SCIE
SCOPUS
Journal Title
ENTROPY
Volume
19
Number
4
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/23296
DOI
10.3390/e19040179
ISSN
1099-4300
Abstract
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.
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