Cost-efficient secondary users grouping for two-tier cognitive radio networks

Shnaiwer, Yousef N.; Zummo, Salam A.; Mesbah, Wessam; Ahmadi, Saad Al

doi:10.1016/j.phycom.2017.08.006

Cited by 4 publications

(3 citation statements)

References 36 publications

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“…The opportunistic access allows SUs to save the energy of battery with the harvested energy technique. [73] applies coloring scheme to group SUs in two-tiers heterogeneous CR network. According to the distance between base stations, the authors determine the average number of CBS channels to be allocated from PU in order to achieve the QoS targets and to minimize the outage probability function.…”

Section: Technical Points Reference Examplesmentioning

confidence: 99%

“…The environment of spectrum sharing between these two layers of users is becoming a comprehensive target. For example, according to [31], [47], [73], [99]- [100], [101], novel schemes propose the operations on the upper layer to solve the multiple-PUs-multiple-SUs spectrum sensing issue which is more complicated than single-PU case.…”

Section: Current Challenge and Future Workmentioning

confidence: 99%

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A Survey of EE Optimization Methods for Primary and Secondary Users in Cognitive Radio Networks

Tian¹,

Esseghir²,

Khoukhi³

2019

NPA

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A large scale of spectrum sensing techniques are proposed to improve the use of spectrum resources. However, the EE (energy efficiency) should be guaranteed for both primary and secondary users, especially under various detection performance constraints. In this regard, the linking between activities of PU (primary user) and dynamic access behaviors of SUs (secondary users) should be considered in an integrated way. This survey has compared different existing scenarios and frameworks on EE optimizations. The principal objective is to enhance the system throughput and to coordinate on the physical layer of both PU and SUs, in order to enable a high-quality spectrum detection and a more efficient spectrum access. In the technical part, several optimization methods are introduced under PU’s constraints, and different methods based on game theory are applied to suitable cooperative sensing scenarios for SUs’ optimal access. Finally, the complexity of algorithms is compared, to further reduce the execution time and deploy real-time adaptation for users with lower delay.

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Section: Technical Points Reference Examplesmentioning

confidence: 99%

Section: Current Challenge and Future Workmentioning

confidence: 99%

A Survey of EE Optimization Methods for Primary and Secondary Users in Cognitive Radio Networks

Tian¹,

Esseghir²,

Khoukhi³

2019

NPA

View full text Add to dashboard Cite

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“…This could technically bring the emergence of CR technology and spectrum reuse to a halt. There exists a trade-off between the QoS provision and the associated pricing of the secondary radio spectrum that is enabled for reuse in SSMs [15][16][17][18]. The QoS [19][20][21][22] and economic robustness [23][24][25][26][27][28] of future SSMs have been two important topics of ongoing research on CR technology.…”

Section: Introductionmentioning

confidence: 99%

A Blockchain Token-Based Trading Model for Secondary Spectrum Markets in Future Generation Mobile Networks

Khan

Jamali

Maksymyuk

et al. 2020

Wireless Communications and Mobile Computing

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Cognitive radio (CR) technology offers the possibility of an increase in spectrum utilization efficiency to resolve the prevalent spectrum scarcity problem. The economic survival of secondary spectrum markets (SSMs) is heavily dependent on the sharing of both the licensed spectrum and spectrum infrastructure by primary licensed operators (PLOs). In this research, an automated pricing model using a blockchain token called the spectrum dollar has been implemented for secondary radio spectrum trade. The use of spectrum dollars enables noncash-based secondary spectrum trade among PLOs based on a floor-and-trade rule. The pricing of spectrum dollars and the associated revenue shares are based on the underlying secondary spectrum trading behaviours of PLOs. PLOs that do not contribute enough secondary spectra to the SSM (to satisfy demand) suffer a loss proportional to the difference between their earned revenues and the specified floor value in the SSM. The secondary spectrum trade is assumed to be centrally managed by a spectrum broker, which announces the floor value for each bidding period while ensuring nonnegative revenue for the market itself. The use of the spectrum dollar along with the floor-and-trade methodology eliminates the possibilities for economic malpractice by PLOs that could increase spectrum reuse costs. In addition, the floor value provides automatic regulatory control to ensure the economic viability and prevent the technological hijacking of future SSMs.

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Carrot and stick model for dynamic secondary radio spectrum trade with QoS optimization

Khan

Jamali

2018

Physical Communication

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Cost-efficient secondary users grouping for two-tier cognitive radio networks

Cited by 4 publications

References 36 publications

A Survey of EE Optimization Methods for Primary and Secondary Users in Cognitive Radio Networks

A Survey of EE Optimization Methods for Primary and Secondary Users in Cognitive Radio Networks

A Blockchain Token-Based Trading Model for Secondary Spectrum Markets in Future Generation Mobile Networks

Carrot and stick model for dynamic secondary radio spectrum trade with QoS optimization

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