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001-es BibID:BIBFORM092993
Első szerző:Nemouchi, Hamza
Cím:Simulation Analysis in Cognitive Radio Networks with Unreliability and Abandonment / Hamza Nemouchi, Mohamed Hedi Zaghouani, János Sztrik
Dátum:2021
Megjegyzések:The current paper presents a Cognitive Radio Network with impatient customers and unreliable servers by the help of a finite-source retrial queueing system. We consider two types of customers (primary and secondary) assigned to two interconnected frequency bands. A first frequency band with a priority queue and a second frequency band with an orbit are reserved for Primary Users (PUs) and Secondary Users (SUs), respectively. If the servers are busy, both customers (licensed and unlicensed) enter either the queue or orbit. Before they enter orbit, the secondary customers receive a random retrial time according to the exponential distribution, i.e. the waiting time before the next retry. Unlicensed users (impatient) are obliged to leave the system as soon as their total waiting time exceeds a random maximum waiting time. It should be noted, that the secondary service unit of our system is subject to random breakdowns and repairs. The novelty of this work consists in the investigation of the abandonment and secondary server unreliability impact on various performance measures of the system (Cognitive Radio Network), such as the mean response and waiting time of users, the probability of abandonment of SU, etc. Several figures illustrate the problem in question through simulation.
Nemouchi, Hamza: Simulation analysis in cognitive radio networks with unreliability and abandonment
ISBN:978-3-030-72246-3
Tárgyszavak:Műszaki tudományok Informatikai tudományok előadáskivonat
könyvrészlet
Megjelenés:Information Technologies and Mathematical Modelling. Queueing Theory and Applications / Alexander Dudin; Anatoly Nazarov; Alexander Moiseev. - p. 31-45. -
További szerzők:Zaghouani, Mohamed Hedi (1992-) (informatikus, matematikus) Sztrik János (1953-) (informatikus, matematikus)
Pályázati támogatás:EFOP-3.6.1-16-2016-00022
EFOP
Stipendium Hungaricum Scholarship
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