Title :
Statistical analysis of the power sum of multiple correlated log-normal components
Author_Institution :
Delft Univ. of Technol., Netherlands
fDate :
2/1/1993 12:00:00 AM
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;
Journal_Title :
Vehicular Technology, IEEE Transactions on
