Title :
Probability of heavy traffic period in third generation CDMA mobile communication
Author_Institution :
Qualcomm Inc., San Diego, CA, USA
Abstract :
The paper considers a problem of deriving the multidimensional distribution of a segment of a long-range dependent traffic in the third generation mobile communication network. An exact expression for the probability is found when a self-similar process models the traffic. The probability of heavy-traffic period, the outage probability, and the level-crossing probability are found. It is shown that the level crossing probability depends on the average call length only. Further, this probability for traffic with dependent samples is higher than for traffic with independent samples. Also, it is shown that there is a linear dependence between the average heavy traffic interval and the average call length
Keywords :
code division multiple access; fractals; mobile radio; probability; telecommunication traffic; CDMA mobile communication; average call length; average heavy traffic interval; dependent samples; heavy traffic period probability; independent samples; level-crossing probability; long-range dependent traffic; multidimensional distribution; outage probability; self-similar process; third generation mobile communication; 3G mobile communication; Character generation; Equations; Intelligent networks; Mobile communication; Multiaccess communication; Multidimensional systems; Random variables; Telecommunication traffic; Traffic control;
Conference_Titel :
Mobile Multimedia Communications, 1999. (MoMuC '99) 1999 IEEE International Workshop on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-5904-6
DOI :
10.1109/MOMUC.1999.819470