2018
DOI: 10.1007/s10586-017-1595-8
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An efficient scheduling algorithm using queuing system to minimize starvation of non-real-time secondary users in Cognitive Radio Network

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Cited by 13 publications
(8 citation statements)
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“…For CRNs containing multiple types of data services, a scheduling strategy based on service classification can achieve more efficient data transmission. References [11][12][13][14][15] investigated the resource scheduling schemes based on service classification. A channel assembling strategy based on priority queues was proposed by using channel aggregation and spectrum adaptive technologies [11].…”
Section: Related Workmentioning
confidence: 99%
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“…For CRNs containing multiple types of data services, a scheduling strategy based on service classification can achieve more efficient data transmission. References [11][12][13][14][15] investigated the resource scheduling schemes based on service classification. A channel assembling strategy based on priority queues was proposed by using channel aggregation and spectrum adaptive technologies [11].…”
Section: Related Workmentioning
confidence: 99%
“…Thus, [12] used the channel bonding technology with starvation mitigation and adopted a priority-based nonpreemptive M/G/1 queuing model to set up the spectrum handoff of SUs. Reference [15] divided the SUs into five priorities and arranged into two queues, then a round robin priority (RRP) scheduling was proposed to minimize the starvation problem of lowpriority users by executing short suspension of the highpriority queue. But the RRP scheduling uses a combination of dynamic and static spectrum allocation, which has the disadvantages of high system overhead and inconvenient hardware implementation.…”
Section: Related Workmentioning
confidence: 99%
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“…Essentially, monitoring the KPIs can allow network operators to significantly 6 DCM&ACS. 2022, 30 (1) [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] reduce service interruptions or even prevent them in the best cases [13], [14]. Since the first release of slicing technology few years ago, the vast majority of researchers, scientists and organizations in the telecommunications industry is focused on developing methods and techniques to flexibly and efficiently share available radio resources within its framework [15]- [19].…”
Section: Introductionmentioning
confidence: 99%
“…Since the first release of slicing technology few years ago, the vast majority of researchers, scientists and organizations in the telecommunications industry is focused on developing methods and techniques to flexibly and efficiently share available radio resources within its framework [15]- [19]. In modern wireless networks, one of the possible solutions to meet the QoS requirements is the implementation of priority scheduling algorithms [20]- [23]. Models implementing such algorithms within slicing framework could be described using the mathematical apparatus of retrial queueing theory [24]- [26], where retrial queues, also known as 'orbits', can be used to address service's interruptions problem.…”
Section: Introductionmentioning
confidence: 99%