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Auction Based Joint Resource Allocation with Flexible User Request in Cognitive Radio Networks

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Cognitive Radio Oriented Wireless Networks (CrownCom 2015)

Abstract

Cognitive Radio (CR) has emerged as a promising technology to address the spectrum scarcity through encouraging the open access of licensed spectrum to unlicensed users. The incentives for licensed users and the resource allocation among unlicensed users are two main critical issues in practical implementation. Recently, auction has been introduced as an efficient tool to solve both incentive and allocation issues in cognitive radio networks. However, existing studies on auction are focusing on either channel allocation or power allocation. Few of them considers the channel and power allocation jointly. In addition, various transmission demands of unlicensed users push the need for flexible user request on spectrum resource. In this paper, we propose an auction scheme to study the joint resource allocation problem among unlicensed users and allow them to submit either range request or strict request according to their demands. To the best of our knowledge, we are the first to focus on this kind of problem. In the final, Theoretical analysis and numerical evaluations verify the truthfulness and efficiency of our scheme.

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Correspondence to Wei Zhou .

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© 2015 Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Zhou, W., Jing, T., Huo, Y., Qian, J., Li, Z. (2015). Auction Based Joint Resource Allocation with Flexible User Request in Cognitive Radio Networks. In: Weichold, M., Hamdi, M., Shakir, M., Abdallah, M., Karagiannidis, G., Ismail, M. (eds) Cognitive Radio Oriented Wireless Networks. CrownCom 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 156. Springer, Cham. https://doi.org/10.1007/978-3-319-24540-9_4

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  • DOI: https://doi.org/10.1007/978-3-319-24540-9_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24539-3

  • Online ISBN: 978-3-319-24540-9

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