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001-es BibID:BIBFORM076552
035-os BibID:(WoS)000454223100011 (Scopus)85061959450
Első szerző:Nemouchi, Hamza
Cím:Performance evaluation of finite-source cognitive radio networks with non-reliable services using simulation / Hamza Nemouchi, János Sztrik
Dátum:2018
ISSN:1787-5021 1787-6117
Megjegyzések:The cognitive radio (CR) is a dynamic spectrum access technique which provides the capability to share a wireless channel between licensed and unlicensed users opportunistically (also called Primary Users - PU and Secondary Users - SU). In this paper, stochastic simulation is used for performance evaluation of cognitive radio network. A finite-source retrial queuing model with two service units is proposed. A priority queue and an orbit are assigned to the PUs and SUs respectively. The proposed queueing system contains two interconnected, not independent sub-systems. The Primary Channel Service (PCS) and the Secondary Channel Service (SCS) are not reliable and the services are assumed to be subject to a random failure with probability p1 and p2 for the PCS and SCS, respectively. The failure can be detected after the service and the request retransmission process starts immediately. The novelty of this work is to analyze the effect of the failure probability on the mean and the variance of the response time of the PUs and SUs, and on the Utilization of the PCS and SCS. The inter-event times are supposed to be exponentially, hypo-exponentially and hyper-exponentially distributed random variables, depending on different cases during simulation. By the help of simulation we compare the effect of the non-reliability of the servers in different combination of distributions on the first and second moments of the response times of the requests, and the utilization of the system by illustrating on different figures.
Tárgyszavak:Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény hazai lapban
folyóiratcikk
Retrial queueing systems
simulation
cognitive radio networks
non-reliable servers
performance and reliability measures
Megjelenés:Annales Mathematicae et Informaticae. - 49 (2018), p. 109-122. -
További szerzők:Sztrik János (1953-) (informatikus, matematikus)
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