Generalised MGF of the - extreme distribution and its applications to performance analysis

被引：4

作者：

Gong, J. ^{[1
]}

Lee, H. ^{[2
]}

Park, M. ^{[3
]}

Choi, J. W. ^{[3
]}

Kang, J. ^{[1
]}

机构：

[1] Korea Adv Inst Sci & Technol, Sch Elect Engn, Daejeon 34141, South Korea

[2] Hansung Univ, Div IT Convergence Engn, Seoul 02876, South Korea

[3] Agcy Def Dev, Res & Dev Inst 2, Directorate 1, Daejeon 34060, South Korea

来源：

ELECTRONICS LETTERS | 2018年 / 54卷 / 25期

关键词：

fading channels; statistical distributions; telecommunication network reliability; performance analysis; closed-form expressions; generalised moment generating function; G-MGF; wireless communications systems; - extreme distribution; - extreme fading channels; energy detection; receiver operating characteristic curve; outage probability; KAPPA-MU;

D O I：

10.1049/el.2018.7020

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The authors formulate the closed-form expressions of the generalised moment generating function (G-MGF) for the - extreme distribution, which enables one to calculate important metrics of wireless communications systems. The derived formula is utilised to evaluate the performance of communication systems under - extreme fading channels, such as energy detection in terms of area under the receiver operating characteristic curve and outage probability in interference limited scenarios.

引用

页码：1458 / 1459

页数：2

共 50 条

[41] Estimation of the upper bound of seismic hazard curve by using the generalised extreme value distribution
V. A. Pavlenko
Natural Hazards, 2017, 89 : 19 - 33
[42] Alternating minimisation approach to generalised MUSIC and its performance
Choi, YH
IEE PROCEEDINGS-RADAR SONAR AND NAVIGATION, 2002, 149 (02) : 97 - 101
[43] Modelling Sub-daily Precipitation Extremes with the Blended Generalised Extreme Value Distribution
Silius M. Vandeskog
Sara Martino
Daniela Castro-Camilo
Håvard Rue
Journal of Agricultural, Biological and Environmental Statistics, 2022, 27 : 598 - 621
[44] Estimation of the upper bound of seismic hazard curve by using the generalised extreme value distribution
Pavlenko, V. A.
NATURAL HAZARDS, 2017, 89 (01) : 19 - 33
[45] A generalised model of a real heat engine and its performance
Chen, L
Sun, F
Wu, C
JOURNAL OF THE INSTITUTE OF ENERGY, 1996, 69 (481): : 214 - 222
[46] Generalised extreme value geoadditive model analysis via variational Bayes
Neville, Sarah E.
Wand, M. P.
1ST CONFERENCE ON SPATIAL STATISTICS 2011 - MAPPING GLOBAL CHANGE, 2011, 3 : 8 - 13
[47] Second order regular variation and its applications to rates of convergence in extreme-value distribution
Lin, Fuming
Peng, Zuxiang
Nadarajah, Saralees
BULLETIN OF THE KOREAN MATHEMATICAL SOCIETY, 2008, 45 (01) : 75 - 93
[48] Performance Analysis, Design Considerations, and Applications of Extreme-scale In Situ Infrastructures
Ayachit, Utkarsh
Bauer, Andrew
Duque, Earl P. N.
Eisenhauer, Greg
Ferrier, Nicola
Gu, Junmin
Jansen, Kenneth E.
Loring, Burlen
Lukic, Zarija
Menon, Suresh
Morozov, Dmitriy
O'Leary, Patrick
Ranjan, Reetesh
Rasquin, Michel
Stone, Christopher P.
Vishwanath, Venkat
Weber, Gunther H.
Whitlock, Brad
Wolf, Matthew
Wu, K. John
Bethel, E. Wes
SC '16: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS, 2016, : 921 - 932
[49] Construction, analysis and performance of generalised woven codes
Bossert, M
Dieterich, H
Schnug, W
Shavgulidze, S
EUROPEAN TRANSACTIONS ON TELECOMMUNICATIONS, 2004, 15 (02): : 79 - 90
[50] An identity based on the generalised negative binomial distribution with applications in ruin theory
Dickson, David C. M.
ANNALS OF ACTUARIAL SCIENCE, 2019, 13 (02) : 308 - 319

← 1 2 3 4 5 →