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Application layer QoS optimization for multimedia transmission over cognitive radio networks

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Abstract

In cognitive radio (CR) networks, the perceived reduction of application layer quality of service (QoS), such as multimedia distortion, by secondary users may impede the success of CR technologies. Most previous work in CR networks ignores application layer QoS. In this paper we take an integrated design approach to jointly optimize multimedia intra refreshing rate, an application layer parameter, together with access strategy, and spectrum sensing for multimedia transmission in a CR system with time varying wireless channels. Primary network usage and channel gain are modeled as a finite state Markov process. With channel sensing and channel state information errors, the system state cannot be directly observed. We formulate the QoS optimization problem as a partially observable Markov decision process (POMDP). A low complexity dynamic programming framework is presented to obtain the optimal policy. Simulation results show the effectiveness of the proposed scheme.

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Acknowledgments

We thank the reviewers for their detailed reviews and constructive comments, which have helped to improve the quality of this paper.

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Authors and Affiliations

  1. Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada

    F. Richard Yu & Saqib Ali

  2. Department of Computer Science, Lamar University, Beaumont, TX, USA

    Bo Sun

  3. Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, Canada

    Vikram Krishnamurthy

Authors
  1. F. Richard Yu
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  2. Bo Sun
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  3. Vikram Krishnamurthy
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  4. Saqib Ali
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Corresponding author

Correspondence to F. Richard Yu.

Additional information

This work is supported by Natural Science and Engineering Research Council of Canada and it is based in part on a paper presented at IEEE WCNC 2009, Budapest, Hungary.

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Yu, F.R., Sun, B., Krishnamurthy, V. et al. Application layer QoS optimization for multimedia transmission over cognitive radio networks. Wireless Netw 17, 371–383 (2011). https://doi.org/10.1007/s11276-010-0285-8

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  • DOI: https://doi.org/10.1007/s11276-010-0285-8

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