Title
On the Sum of Kappa Stochastic Variates and Applications to Equal-Gain Combining.
Abstract
In this paper we study the statistics of the sum of not necessarily identically distributed kappa, that is, K, random variables (RV)s. Assuming half-integer values for the shaping parameters, novel closed-form expressions for the probability density function (PDF) of the sum of independent K RVs are obtained, while for arbitrary values of the shaping parameters, a corresponding PDF expression is d...
Year
DOI
Venue
2011
10.1109/TCOMM.2011.071111.090758
IEEE Transactions on Communications
Keywords
Field
DocType
Fading,Receivers,Signal to noise ratio,Shadow mapping,Diversity reception,Probability density function,Approximation methods
Random variable,K-distribution,Series (mathematics),Fading,Stochastic process,Electronic engineering,Independent and identically distributed random variables,Channel capacity,Probability density function,Mathematics
Journal
Volume
Issue
ISSN
59
9
0090-6778
Citations 
PageRank 
References 
3
0.39
11
Authors
3
Name
Order
Citations
PageRank
Petros S. Bithas115321.69
Nikos C. Sagias245339.91
Ranjan K. Mallik3111496.29