Statistical analysis of the power sum of multiple correlated log-normal components

Author

Safak, Aysel

Author_Institution

Delft Univ. of Technol., Netherlands

Volume

42

Issue

1

fYear

1993

fDate

2/1/1993 12:00:00 AM

Firstpage

58

Lastpage

61

Abstract

A statistical method is presented for the analysis of the power sum of multiple correlated log-normal random components. The results are compared with those of S.C. Schwartz and Y.S. Yeh (1982) and the Monte Carlo simulation. The effect of correlation on the mean and the variance of the combined multiple correlated log-normal components is also investigated. The presented method allows quick and accurate calculations for various system performance parameters of radio networks for high-capacity cellular telephony, two-way paging, packet radio, mobile data networks, and radar detection systems

Keywords

correlation theory; mobile radio systems; radar theory; radio networks; statistical analysis; correlation effect; high-capacity cellular telephony; mobile data networks; multiple correlated log-normal components; packet radio; performance parameters; power sum; radar detection systems; radio networks; random components; statistical analysis; two-way paging; Analysis of variance; Cellular networks; Packet radio networks; Probability distribution; Radar detection; Radio network; Random variables; Statistical analysis; Statistics; Telephony;

fLanguage

English

Journal_Title

Vehicular Technology, IEEE Transactions on

Publisher

ieee

ISSN

0018-9545

Type

jour

DOI

10.1109/25.192387

Filename

192387