Dynamic Spectrum Leasing for Cognitive Radio Networks—Modelling and Analysis

Maryam Hafeez, Jaafar Elmirghani

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

Incentive based dynamic spectrum leasing (DSL) has been suggested as a type of cognitive radio (CR) based communication in which the legacy network allows the cognitive radio nodes to utilize its spectrum for their communication in exchange for cooperative relaying services. The key objective of this chapter is to investigate the design space of a DSL empowered large scale CR network (CRN) collocated with a point-to-point primary communication link. The ultimate design objective is to improve both the network level energy efficiency and the spectral efficiency through the exploitation of cooperation gains rendered by the proposed optimally dimensioned DSL mechanism. This chapter presents a DSL scheme where the CRs cooperatively relay the data of the primary network for a duration of time. As a reward for the cooperation, the CRs are granted exclusive access to the primary spectrum for some time. To harness maximum gains in terms of energy efficiency (EE) for the primary network while maintaining its required quality of service and spectral efficiency (SE) of the CR network, a comprehensive model of DSL is presented. To this end, an accurate quantification of the random locations of the CR nodes and the optimal division of leasing time between the primary and secondary activities are two crucial factors. In this chapter, we consider a large scale cognitive random network. The spatial dynamics are modeled by using point process theory from stochastic geometry. Mutual agreement of the primary and secondary nodes on the leasing time division is studied using a game theoretic framework. The analysis indicates that DSL enables the primary to attain its required transmission rate and from 20 up to 50 % of the total leasing time is also reserved for the secondary activity. It is shown that the bargaining powers of the primary and secondary networks strongly dictate the proportion of cooperation and leasing time. Further, the EE of DSL based on the network geometry and optimal leasing time is analytically characterized. The simulation results reveal that DSL operation under such considerations can be significantly more energy efficient as compared to direct communication. A closer look helps to ascertain that DSL with a sparse secondary network can serve to be more than 10 times energy efficient while maintaining the same time-rate product as compared to direct communication for low CR densities. Hence DSL based communication enables the primary to communicate at its desired transmission rate and quality in an energy efficient manner and also enables the CR network to exploit the licensed spectrum for its own communication. In short, DSL is a useful technique for improving the efficiency of wireless communication with direct application to future networks.
LanguageEnglish
Title of host publicationEnergy Management in Wireless Cellular and Ad-hoc Networks
EditorsMuhammad Zeeshan Shakir, Muhammad Ali Imran, Khalid A. Qaraqe, Mohamed-Slim Alouini
PublisherSpringer, Cham
Pages217-245
Number of pages29
ISBN (Electronic)9783319275680
ISBN (Print)9783319275666
DOIs
Publication statusPublished - 2016
Externally publishedYes

Publication series

NameStudies in Systems, Decision and Control
PublisherSpringer
Volume50
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

Fingerprint

Cognitive radio
Communication
Energy efficiency
Geometry
Telecommunication links
Quality of service

Cite this

Hafeez, M., & Elmirghani, J. (2016). Dynamic Spectrum Leasing for Cognitive Radio Networks—Modelling and Analysis. In M. Zeeshan Shakir, M. A. Imran, K. A. Qaraqe, & M-S. Alouini (Eds.), Energy Management in Wireless Cellular and Ad-hoc Networks (pp. 217-245). (Studies in Systems, Decision and Control; Vol. 50). Springer, Cham. https://doi.org/10.1007/978-3-319-27568-0_10
Hafeez, Maryam ; Elmirghani, Jaafar. / Dynamic Spectrum Leasing for Cognitive Radio Networks—Modelling and Analysis. Energy Management in Wireless Cellular and Ad-hoc Networks. editor / Muhammad Zeeshan Shakir ; Muhammad Ali Imran ; Khalid A. Qaraqe ; Mohamed-Slim Alouini. Springer, Cham, 2016. pp. 217-245 (Studies in Systems, Decision and Control).
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Hafeez, M & Elmirghani, J 2016, Dynamic Spectrum Leasing for Cognitive Radio Networks—Modelling and Analysis. in M Zeeshan Shakir, MA Imran, KA Qaraqe & M-S Alouini (eds), Energy Management in Wireless Cellular and Ad-hoc Networks. Studies in Systems, Decision and Control, vol. 50, Springer, Cham, pp. 217-245. https://doi.org/10.1007/978-3-319-27568-0_10

Dynamic Spectrum Leasing for Cognitive Radio Networks—Modelling and Analysis. / Hafeez, Maryam; Elmirghani, Jaafar.

Energy Management in Wireless Cellular and Ad-hoc Networks. ed. / Muhammad Zeeshan Shakir; Muhammad Ali Imran; Khalid A. Qaraqe; Mohamed-Slim Alouini. Springer, Cham, 2016. p. 217-245 (Studies in Systems, Decision and Control; Vol. 50).

Research output: Chapter in Book/Report/Conference proceedingChapter

TY - CHAP

T1 - Dynamic Spectrum Leasing for Cognitive Radio Networks—Modelling and Analysis

AU - Hafeez, Maryam

AU - Elmirghani, Jaafar

PY - 2016

Y1 - 2016

N2 - Incentive based dynamic spectrum leasing (DSL) has been suggested as a type of cognitive radio (CR) based communication in which the legacy network allows the cognitive radio nodes to utilize its spectrum for their communication in exchange for cooperative relaying services. The key objective of this chapter is to investigate the design space of a DSL empowered large scale CR network (CRN) collocated with a point-to-point primary communication link. The ultimate design objective is to improve both the network level energy efficiency and the spectral efficiency through the exploitation of cooperation gains rendered by the proposed optimally dimensioned DSL mechanism. This chapter presents a DSL scheme where the CRs cooperatively relay the data of the primary network for a duration of time. As a reward for the cooperation, the CRs are granted exclusive access to the primary spectrum for some time. To harness maximum gains in terms of energy efficiency (EE) for the primary network while maintaining its required quality of service and spectral efficiency (SE) of the CR network, a comprehensive model of DSL is presented. To this end, an accurate quantification of the random locations of the CR nodes and the optimal division of leasing time between the primary and secondary activities are two crucial factors. In this chapter, we consider a large scale cognitive random network. The spatial dynamics are modeled by using point process theory from stochastic geometry. Mutual agreement of the primary and secondary nodes on the leasing time division is studied using a game theoretic framework. The analysis indicates that DSL enables the primary to attain its required transmission rate and from 20 up to 50 % of the total leasing time is also reserved for the secondary activity. It is shown that the bargaining powers of the primary and secondary networks strongly dictate the proportion of cooperation and leasing time. Further, the EE of DSL based on the network geometry and optimal leasing time is analytically characterized. The simulation results reveal that DSL operation under such considerations can be significantly more energy efficient as compared to direct communication. A closer look helps to ascertain that DSL with a sparse secondary network can serve to be more than 10 times energy efficient while maintaining the same time-rate product as compared to direct communication for low CR densities. Hence DSL based communication enables the primary to communicate at its desired transmission rate and quality in an energy efficient manner and also enables the CR network to exploit the licensed spectrum for its own communication. In short, DSL is a useful technique for improving the efficiency of wireless communication with direct application to future networks.

AB - Incentive based dynamic spectrum leasing (DSL) has been suggested as a type of cognitive radio (CR) based communication in which the legacy network allows the cognitive radio nodes to utilize its spectrum for their communication in exchange for cooperative relaying services. The key objective of this chapter is to investigate the design space of a DSL empowered large scale CR network (CRN) collocated with a point-to-point primary communication link. The ultimate design objective is to improve both the network level energy efficiency and the spectral efficiency through the exploitation of cooperation gains rendered by the proposed optimally dimensioned DSL mechanism. This chapter presents a DSL scheme where the CRs cooperatively relay the data of the primary network for a duration of time. As a reward for the cooperation, the CRs are granted exclusive access to the primary spectrum for some time. To harness maximum gains in terms of energy efficiency (EE) for the primary network while maintaining its required quality of service and spectral efficiency (SE) of the CR network, a comprehensive model of DSL is presented. To this end, an accurate quantification of the random locations of the CR nodes and the optimal division of leasing time between the primary and secondary activities are two crucial factors. In this chapter, we consider a large scale cognitive random network. The spatial dynamics are modeled by using point process theory from stochastic geometry. Mutual agreement of the primary and secondary nodes on the leasing time division is studied using a game theoretic framework. The analysis indicates that DSL enables the primary to attain its required transmission rate and from 20 up to 50 % of the total leasing time is also reserved for the secondary activity. It is shown that the bargaining powers of the primary and secondary networks strongly dictate the proportion of cooperation and leasing time. Further, the EE of DSL based on the network geometry and optimal leasing time is analytically characterized. The simulation results reveal that DSL operation under such considerations can be significantly more energy efficient as compared to direct communication. A closer look helps to ascertain that DSL with a sparse secondary network can serve to be more than 10 times energy efficient while maintaining the same time-rate product as compared to direct communication for low CR densities. Hence DSL based communication enables the primary to communicate at its desired transmission rate and quality in an energy efficient manner and also enables the CR network to exploit the licensed spectrum for its own communication. In short, DSL is a useful technique for improving the efficiency of wireless communication with direct application to future networks.

KW - 5G Networks

KW - Cloud Computing

KW - Cognitive Radio Networks

KW - Economic and Ecology

KW - Energy Cooperation and Collaboration

KW - Energy Efficiency

KW - Energy Harvesting

KW - Green Backhaul

KW - Internet of Energy

KW - Mesh Networks

KW - Vehicular Networks

U2 - 10.1007/978-3-319-27568-0_10

DO - 10.1007/978-3-319-27568-0_10

M3 - Chapter

SN - 9783319275666

T3 - Studies in Systems, Decision and Control

SP - 217

EP - 245

BT - Energy Management in Wireless Cellular and Ad-hoc Networks

A2 - Zeeshan Shakir, Muhammad

A2 - Imran, Muhammad Ali

A2 - Qaraqe, Khalid A.

A2 - Alouini, Mohamed-Slim

PB - Springer, Cham

ER -

Hafeez M, Elmirghani J. Dynamic Spectrum Leasing for Cognitive Radio Networks—Modelling and Analysis. In Zeeshan Shakir M, Imran MA, Qaraqe KA, Alouini M-S, editors, Energy Management in Wireless Cellular and Ad-hoc Networks. Springer, Cham. 2016. p. 217-245. (Studies in Systems, Decision and Control). https://doi.org/10.1007/978-3-319-27568-0_10