Economic model for routing and spectrum management in cognitive wireless mesh network

  • Authors:
  • Ayoub Alsarhan;Ahmad Al-Khasawneh;Awni Itradat;Mohammad Bsoul

  • Affiliations:
  • Department of Computer Information System, Prince Hussein Bin Abdullah II for Information Technology, Hashemite University, P.O. Box 150459, Zarqa 13115, Jordan;Department of Computer Information System, Prince Hussein Bin Abdullah II for Information Technology, Hashemite University, P.O. Box 150459, Zarqa 13115, Jordan;Department of Computer Engineering, Faculty of Engineering, Hashemite University, P.O. Box 150459, Zarqa 13115, Jordan;Department of Computer Science, Prince Hussein Bin Abdullah II for Information Technology, Hashemite University, P.O. Box 150459, Zarqa 13115, Jordan

  • Venue:
  • International Journal of Networking and Virtual Organisations
  • Year:
  • 2013

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Abstract

In cognitive radio networks CRNs, unlicensed users secondary users - SUs lease free spectrum with quality of service QoS guarantees from a multitude of spectrum owners primary users, PUs based on service level agreements SLA. Free spectrum is used to establish the links of secondary network. The amount of leased spectrum influences the admitted number of SU's requests, PUs' profits, and the cost of renting spectrum. Hence, the PU can maximise its profit by adapting its resources to the changes in the traffic load and SLA costs conditions. We propose a novel approach that maximises PU's profit using economic model. Our economic model integrates the network routing with the adaptation of the capacity of secondary network links. For SUs, QoS should be maintained while adapting the secondary network capacity. Our adaptation scheme is based on the profit maximisation. The Markov decision process MDP is used to derive the adaption scheme. Numerical results show the ability of the proposed scheme to attain the optimal profit under different conditions and constraints.