Name
Abstract | ||
|---|---|---|
This paper deals with performance modeling aspects of radio frequencylicensing. The utilization of mobile cellular networks can be increasedby the idea of the cognitive radio. Licensed users Primary Users- PUs and normal users Secondary Users - SUs are considered. Themain idea is, that the SUs are able to access to the available non-licensedradio frequencies. A finite-source retrial queueing model with twonon independent frequency bands considered as service units isproposed for the performance evaluation of the system. A serviceunit with a priority queue and another service unit with an orbitare assigned to the PUs and SUs, respectively. The users are classifiedinto two classes: the PUs have got a licensed frequency, while theSUs have got a frequency band, too but it suffers from the overloading.We assume that during the service of the non-overloaded band thePUs have preemptive priority over SUs. The involved inter-event timesare supposed to be independent and exponentially distributed randomvariables. The novelty of this work lies in the fact that we considerthe effect of retrial phenomenon of SUs in performance modeling ofradio frequency licensing by using a finite-source queueing modelwhich takes the unreliability of radio transmission into accountfor the first time. In the literature, most work studied the performanceof cognitive radio networks under a mixed spectrum environment oflicensed and unlicensed bands where the blocked SUs and the preemptedSUs are forced to leave the system forever when there are no idlechannels in the system. But in practical situation, the blocked SUsand the preempted SUs may do not leave the system forever and tryto continue their services after random amount of time. By the helpof an appropriate continuous time Markov chain using MOSEL MOdelingSpecification and Evaluation Language tool several numerical examplesare provided showing the effects of different input parameters onthe main performance measures of the cognitive radio networks. Ourprimary focus is to determine an optimal number of SUs, where atthe secondary band the gained utilization, that is when switchingto the cognitive radio, has a maximum value. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.14232/actacyb.22.3.2016.5 | Acta Cybern. |
Keywords | Field | DocType |
cognitive radio networks,performance evaluation,finite-source retrial queueing systems,modeling tools | Discrete mathematics,Telecommunications,Continuous-time Markov chain,Frequency band,Computer network,Priority queue,Queueing theory,Exponential distribution,Cellular network,Mathematics,Radio spectrum,Cognitive radio | Journal |
Volume | Issue | ISSN |
22 | 3 | 0324-721X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| B. Almási | 1 | 2 | 1.80 |
| Tamás Bérczes | 2 | 4 | 2.58 |
| Attila Kuki | 3 | 1 | 1.11 |
| J. Sztrik | 4 | 16 | 7.18 |
| Jinting Wang | 5 | 13 | 6.70 |