Performability modeling of channel allocation in cellular networks using stochastic reward nets

Author

Ro, Cheul Woo ; Choi, Myungwhan ; Kim, Gi Rae

Author_Institution

Dept. of Inf. & Commun. Eng., Silla Univ., Pusan, South Korea

Volume

1

fYear

1999

fDate

1999

Firstpage

765

Abstract

A combined performance and reliability/availability model for channel allocation is introduced. Stochastic reward nets (SRNs) models are presented for this purpose as Markov reward models, which are obtained by associating reward rates with Markov chain´s state. To solve both non-exponential and state largeness problems, advanced modeling techniques such as phase approximation approach, hierarchical modeling and fixed point iteration techniques are described

Keywords

Markov processes; cellular radio; channel allocation; iterative methods; Markov chain´s state; Markov reward models; availability; cellular networks; channel allocation; fixed point iteration techniques; hierarchical modeling; nonexponential problems; performability modeling; performance; phase approximation approach; reliability; reward rates; state largeness problems; stochastic reward nets; Channel allocation; Computer science; Electronic mail; Fires; Inhibitors; Intelligent networks; Land mobile radio cellular systems; Performance analysis; Quality of service; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 99. Proceedings of the IEEE Region 10 Conference

Conference_Location

Cheju Island

Print_ISBN

0-7803-5739-6

Type

conf

DOI

10.1109/TENCON.1999.818527

Filename

818527