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Design a novel routing criterion based on channel features and internal backup routes for cognitive radio network

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Abstract

In the routing process, the cost (or weight) of routes determine via a function named routing criterion. Therefore, the design of Optimal Routing Criterion (ORC) is one of the most crucial issues in routing. The existence of unstable channels in Cognitive Radio Network (CRN) has caused the design of ORC in CRN converts to a challenging topic. In this paper, at first, the CRN is modeled as a multigraph where each vertex shows one secondary user (SU) and each edge a channel between two neighboring SUs. In this multigraph, each edge has two weights; the first weight is determined based on the behavior of PU senders and protection of PU receivers, and second weight based on the channel bandwidth. At the next step, an ORC for CRN, referred to as ETED_BEST, is proposed. ETED_BEST is designed based on the obtained model, routes provided by the intermediate nodes belonging to the route and probability theory that calculates the delay between two SUs in CRN precisely. Performance evaluation is conducted through simulations, the results show that end-to-end performance improved significantly.

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Notes

  1. Fifth generation (5G) millimeter wave communications are emerging to meet the increasing demand for high data rate transmission in high user density areas [39].

  2. The spectral hole is the period of time for which a PU does not use its channel.

  3. The behavior of PU senders and protection of PU receivers are the most basic of challenges in the CRN routing.

  4. In practice, an unreal estimation of the route cost decreases the end-to-end performance of the network.

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Authors and Affiliations

  1. Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

    Ahmad Yousofi

  2. Department of Computer Engineering and Information Technology, Amirkabir University of Technology, Tehran, Iran

    Masoud Sabaei

  3. Computer Science, University of Human Development, Sulaimaniyah, Iraq

    Mehdi Hosseinzadeh

  4. Iran University of Medical Sciences, Tehran, Iran

    Mehdi Hosseinzadeh

Authors
  1. Ahmad Yousofi
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  2. Masoud Sabaei
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  3. Mehdi Hosseinzadeh
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Correspondence to Masoud Sabaei.

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Yousofi, A., Sabaei, M. & Hosseinzadeh, M. Design a novel routing criterion based on channel features and internal backup routes for cognitive radio network. Telecommun Syst 71, 339–351 (2019). https://doi.org/10.1007/s11235-018-0500-y

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