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An analytical model for optimal spectrum leasing under constraints of quality of service in CRNs

Wei,G, Xiang,Y, Ji,M and Zhu,P 2014, An analytical model for optimal spectrum leasing under constraints of quality of service in CRNs, Computer networks, vol. 74, no. Part B, pp. 71-80, doi: 10.1016/j.comnet.2014.06.017.

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Title An analytical model for optimal spectrum leasing under constraints of quality of service in CRNs
Author(s) Wei,G
Xiang,YORCID iD for Xiang,Y
Journal name Computer networks
Volume number 74
Issue number Part B
Start page 71
End page 80
Publisher Elsevier BV
Place of publication Amsterdam, Netherlands
Publication date 2014-12-09
ISSN 1389-1286
Keyword(s) Analytical model
Cognitive radio network
Quality of service
Spectrum leasing
Science & Technology
Computer Science, Hardware & Architecture
Computer Science, Information Systems
Engineering, Electrical & Electronic
Computer Science
Summary Cognitive radio improves spectrum efficiency and mitigates spectrum scarcity by allowing cognitive users to opportunistically access idle chunks of the spectrum owned by licensed users. In long-term spectrum leasing markets, secondary network operators make a decision about how much spectrum is optimal to fulfill their users' data transmission requirements. We study this optimization problem in multiple channel scenarios. Under the constrains of expected user admission rate and quality of service, we model the secondary network into a dynamic data transportation system. In this system, the spectrum accesses of both primary users and secondary users are in accordance with stochastic processes, respectively. The main metrics of quality of service we are concerned with include user admission rate, average transmission delay and stability of the delay. To quantify the relationship between spectrum provisioning and quality of service, we propose an approximate analytical model. We use the model to estimate the lower and upper bounds of the optimal amount of the spectrum. The distance between the bounds is relatively narrow. In addition, we design a simple algorithm to compute the optimum by using the bounds. We conduct numerical simulations on a slotted multiple channel dynamic spectrum access network model. Simulation results demonstrate the preciseness of the proposed model. Our work sheds light on the design of game and auction based dynamic spectrum sharing mechanisms in cognitive radio networks.
Language eng
DOI 10.1016/j.comnet.2014.06.017
Field of Research 080503 Networking and Communications
Socio Economic Objective 890101 Fixed Line Data Networks and Services
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2014, Elsevier BV
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Document type: Journal Article
Collection: School of Information Technology
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