2020
DOI: 10.3390/s20174907
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Abstract: To maximize the limited spectrum among primary users and cognitive Internet of Things (IoT) users as we save the limited power and energy resources available, there is a need to optimize network resources. Whereas it is quite complex to study the impact of transmission rate, transmission power or transmission delay alone, the complexity is aggravated by the simultaneous consideration of all these three variables jointly in addition to a channel selection variable, since it creates a non-convex problem. Our obj… Show more

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Cited by 10 publications
(5 citation statements)
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“…1) Optimization of network resources: Efficient spectrum utilization, in the context of a network composed of CR IoT nodes, requires the joint optimization of a set of parameters such as transmission power, energy efficiency, transmission delay, and transmission data rate, which is a challenging task. The authors of [125] formulated an optimization problem to converge to an optimal solution, in a constrained environment, by taking into account three variables namely; transmission power, transmission rate, and transmission delay. To solve this problem, they applied a branch-and-cut polyhedral approach.…”
Section: Open Research Issues In Cr-based Iotmentioning
confidence: 99%
“…1) Optimization of network resources: Efficient spectrum utilization, in the context of a network composed of CR IoT nodes, requires the joint optimization of a set of parameters such as transmission power, energy efficiency, transmission delay, and transmission data rate, which is a challenging task. The authors of [125] formulated an optimization problem to converge to an optimal solution, in a constrained environment, by taking into account three variables namely; transmission power, transmission rate, and transmission delay. To solve this problem, they applied a branch-and-cut polyhedral approach.…”
Section: Open Research Issues In Cr-based Iotmentioning
confidence: 99%
“…Primary users are the "rightful" owners of the source, but a resource can be assigned to the secondary user once the primary user is idle or absent. When the primary user in cognitive networks is stimulated, the secondary user must be removed from that channel [132]. Therefore, there is a need to consider QoS requirements for both the primary and secondary users as far as resource allocation is concerned.…”
Section: For Resource Allocation and Management In Iotmentioning
confidence: 99%
“…A PU's frequent reactivation should be noticed in practice, as the system throughput and EE might be directly influenced by this issue. More precisely, as the PU signal is usually modeled as a circularly symmetric complex Gaussian (CSCG) signal and the PU's active/sleep durations are considered as independent and identically distributed random variables [24], the range of the PU's reawake probability should be approximated in advance by statistical analysis [17] to prevent the network performance and QoS from being degraded. Other existing studies (e.g., [25,26]) have focused on the dynamic optimization of the energy detector threshold to make appropriate decisions regarding the PU's signal and to lower the overall sensing error rate.…”
Section: Literature Analysismentioning
confidence: 99%
“…In addition, EE and sensing performance are also interconnected, and the sensing metrics and thresholds must be strictly respected while designing the CRN system with the aim of achieving a higher EE. Regarding this complex optimization problem, more detailed analyses of a PU's transmission power and its influences on SUs' sensing and transmission phases are presented in Section 1 by referring to some recently proposed methods [17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35]. Table 1 lists some common abbreviations that are used in this paper.…”
Section: Introductionmentioning
confidence: 99%