Effective Rate Evaluation with Assistance of Mixture Gamma (MG), Mixture of Gaussian (MoG), and Fox's $H$-Function Distributions

Reference : Effective Rate Evaluation with Assistance of Mixture Gamma (MG), Mixture of Gaussian ...


	Document type :	Scientific congresses, symposiums and conference proceedings : Poster
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	Focus Areas :	Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/46659

Title :	Effective Rate Evaluation with Assistance of Mixture Gamma (MG), Mixture of Gaussian (MoG), and Fox's $H$-Function Distributions
Language :	English
Author, co-author :	Kong, Long [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
	He, Jiguang []
	Ai, Yun []
	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	Apr-2021
Peer reviewed :	Yes
Event name :	The 2021 IEEE 93rd Vehicular Technology Conference: VTC2021-Spring
Event date :	25 - 28 April 2021
Target :	Researchers
Permalink :	http://hdl.handle.net/10993/46659
FnR project :	FnR ; FNR11607830 > Bjorn Ottersten > CI-PHY > Exploiting Interference For Physical Layer Security In 5g Networks > 01/02/2018 > 31/01/2021 > 2017

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Fulltext file(s):

	File	Commentary	Version	Size	Access
Limited access	VTC_Fall2020_EC_MG_MoG_Fox.pdf		Author postprint	501.98 kB	Request a copy

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