Performance Simulation of Finite-Source Cognitive Radio Networks with Servers Subjects to Breakdowns and Repairs

Nemouchi, Hamza; Sztrik, János

doi:10.1007/s10958-019-04196-y

Cited by 7 publications

(4 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In these works all the inter-event times including the failure and repair times were exponentially distributed. Same authors of papers [8,12] have investigated further the CRN with breakdowns, in paper [9] the failure and repair time of the servers are non-exponential distributed (Hypo-exponentially and Hyperexponentially).…”

Section: System Modelmentioning

confidence: 99%

“…Some other papers investigated further the retrial queuing model by modeling a cognitive radio network using two service channels (Primary and Secondary) both are subject to breakdowns and repair. For example, the authors of [9] assumed that both servers are unreliable and used different distributions for the inter-event times, Hypo and Hyper Exponential were used for the failure and repair times and Exponential distribution was assumed for the rest of the inter-event times (arrival, service and retrial). As extended work authors of [15] have added Gamma distribution to the above mentioned above distributions.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Simulation of the performance of CognitiveRadio Networks with unreliable servers

Zaghouani¹,

Sztrik²,

Uka³

2020

AMI

View full text Add to dashboard Cite

This paper deals with a Cognitive Radio Network (CRN) which is modeled using a retrial queuing system with two finite-sources. This network includes two non-independent service units treating two types of users: Primary Users (PU) and Secondary Users (SU). The primary unit has priority queue (FIFO) and a second service unit contains an orbit both units are dedicated for the Primary Users and Secondary Users, respectively.The current work highlights the unreliability of the servers as we are assuming that both servers of this network are subject to random breakdowns and repairs. All the inter-event times in this CRN are either exponentially or non-exponentially distributed. The novelty of our investigation is to analyze the effect of several distributions (Gamma, Pareto, Log-normal, Hypo-Exponential and Hyper-Exponential) of the failure and repair times on the main performance measure of the system. By the help of simulation we show some interesting results concerning to sensitivity problems.

show abstract

Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulation of the performance of CognitiveRadio Networks with unreliable servers

Zaghouani¹,

Sztrik²,

Uka³

2020

AMI

View full text Add to dashboard Cite

show abstract

“…The main objective of the CRN is to use the unused portions of the primary frequency bands for the benefit of unlicensed customers. Further details can be found in [1,4,6,[9][10][11][12]17]. Several studies and researches, such as [18,20] show that often many parts of the channels are unused in time and space by licensed users (white spaces).…”

Section: Introductionmentioning

confidence: 99%

Simulation Analysis in Cognitive Radio Networks with Unreliability and Abandonment

Nemouchi

Zaghouani

Sztrik

2021

Information Technologies and Mathematical Modelling. Queueing Theory and Applications

View full text Add to dashboard Cite

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.

show abstract

“…By the help of retrial queuing model and using Primary and Secondary service channels [14] supposed that both units are subject to random breakdowns and repairs. The authors used several distributions (Exponential, Hypo and Hyper Exponential) in order to show the impact of these distributions on the performance measures of the system.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of finite-source Cognitive Radio Networks with impatient customers

Zaghouani¹,

Sztrik²

2020

AMI

View full text Add to dashboard Cite

The current paper takes into consideration a cognitive radio network with impatient customers, by the help of finite-source retrial queueing system. We consider two different types of customers (Primary and Secondary) assigned to two interconnected frequency bands. A first frequency band with a priority queue and a second one with an orbit, both are respectively dedicated for the Primary Users (PUs) and Secondary Users (SUs). In case the servers are busy, both customers (Licensed and Unlicensed) join either the queue or the orbit. Before joining the orbit, secondary customers receive a random retrial time according to Exponential distribution, which is the holding time before the next retry. Unlicensed users (impatient) are obliged to leave the system once their total waiting time exceeds a given maximum waiting time.The novelty of this work is the investigation of the abandonment and its impact on several performance measures of the system such as the mean response time and waiting time of users, probability of abandonment of SU, etc. Several figures illustrate the problem in question by the help of simulation.

show abstract

Performance Simulation of Finite-Source Cognitive Radio Networks with Servers Subjects to Breakdowns and Repairs

Cited by 7 publications

References 13 publications

Simulation of the performance of CognitiveRadio Networks with unreliable servers

Simulation of the performance of CognitiveRadio Networks with unreliable servers

Simulation Analysis in Cognitive Radio Networks with Unreliability and Abandonment

Performance evaluation of finite-source Cognitive Radio Networks with impatient customers

Contact Info

Product

Resources

About