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An optimal scheduling framework for concurrent transmissions in wireless cognitive radio networks

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Abstract

This paper investigates the problem of optimal scheduling for cognitive radio network links in order to maximize the aggregated cognitive radio network throughput. The problem is formulated as an integer linear programming (ILP) problem, which schedules cognitive radio links to maximize the aggregated network throughput subject to primary and cognitive network protection. The proposed model is capable of scheduling multiple concurrent cognitive radio links which can coexist with a set of primary links. This approach can significantly increase the aggregated network throughput and utilize the spectrum more efficiently by utilizing user location information. The ILP problem is optimally solved for specific network scenarios and numerical results are presented.

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Acknowledgments

This research were funded in part by the National University of Singapore under grant R-263-000-579-112, National Natural Science Foundation of China (Nos. 60902053, 61272497), and the Science and Technology Research Planning of Educational Commission of Hubei Province of China (No. B20110803).

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Authors and Affiliations

  1. The Bradley Department of Electrical and Computer Engineering, Blacksburg, Virginia, USA

    Borhan (Brian) Jalaeian

  2. College of Computer Science, South-Central University for Nationalities, Wuhan, China

    Rongbo Zhu

  3. Electrical and Computer Engineering Department, National University of Singapore, Singapore, Singapore

    Mehul Motani

Authors
  1. Borhan (Brian) Jalaeian
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  2. Rongbo Zhu
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  3. Mehul Motani
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Correspondence to Mehul Motani.

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Jalaeian, B., Zhu, R. & Motani, M. An optimal scheduling framework for concurrent transmissions in wireless cognitive radio networks. Telecommun Syst 60, 169–177 (2015). https://doi.org/10.1007/s11235-014-9931-2

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  • DOI: https://doi.org/10.1007/s11235-014-9931-2

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