NDLI: Copula – to model multi-channel fading by correlated but arbitrary Weibull marginals, giving a closed-form outage probability of selection-combining reception

Content Provider	IET Digital Library
Author	Huang, Shih Hao Huang, Mong Na Lo Wong, Kainam Thomas Tseng, Tzu Chiang
Abstract	This study introduces the mathematical paradigm of ‘copula’ to the technical field of channel modelling. Copula-based modelling allows each sensor of its distinct set of fading parameters, and allows cross-correlation among various sensors’ parameter sets. Hence, the branch statistics may be non-identical over various branches, yet cross-correlated between branches. This scenario is realistic especially for sensors of different polarisations/constructions and/or for sensors at widely separate locations – as increasingly common for wireless transceivers. Despite such versatility in modelling, this copula-based multivariate fading distribution may yet be so simple in mathematical form that the system's outage probability can be analytically derived in a closed form, free of any infinite-term summation and free of any unsolved integration.
Starting Page	1698
Ending Page	1705
Page Count	8
ISSN	17518725
Volume Number	9
e-ISSN	17518733
Issue Number	Issue 15, Dec (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-map/9/15
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-map.2015.0094
Journal	IET Microwaves, Antennas & Propagation
Publisher Date	2015-12-10
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Branch Statistics Construction Sensor Copula-based Multivariate Fading Distribution Cross-correlation Method Diversity Reception Fading Channel Multichannel Fading Parameter Polarisation Sensor Radio Link And Equipment Radio Transceivers Reliability Selection Combining Reception Closed-form Outage Probability Statistics Telecommunication Network Reliability Weibull Distribution Weibull Marginal Wireless Transceiver
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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