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Application-Aware Spectrum Sharing

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Handbook of Cognitive Radio

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Abstract

In this chapter, an application-aware spectrum sharing and allocation problem for cellular systems with multiple frequency bands is presented. Mobile users are categorized based on applications running on their devices. They could be either delay-tolerant or real-time applications which are approximated by logarithmic utility functions and sigmoidal-like utility functions, respectively. The objective is to share spectrum resources from multiple base stations with different frequency bands according to a utility proportional fairness policy. This policy guarantees no user is dropped, i.e., allocated zero resource. Additionally, it ensures that mobile users with real-time applications are given priority in resource allocation to achieve higher overall user satisfaction with the available shared resources. Hence, this problem is casted as a convex optimization problem to ensure optimality and the existence of a tractable global optimal solution. Using optimization techniques, e.g., duality and Lagrange multipliers, a distributed spectrum sharing and allocation algorithm is constructed. This algorithm is tested for convergence in different traffic conditions. Based on the convergence analysis, a robust resource allocation and sharing algorithm is developed to allocate the optimal resources for high-traffic situations where conventional resource allocation algorithms fail to converge. Additionally, this algorithm provides the option of traffic-dependent pricing for network providers. This pricing approach can be used to flatten the network traffic and decrease cost per bandwidth for mobile users. The simulation results of the performance of this robust optimal algorithm are explored for a single-carrier and two-carrier scenarios.

The content in this chapter is reproduced with permission after modifications (License numbers 3975601299718, 3975601157846, 3975600417474). For the original articles please refer to [1–3].

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Author information

Authors and Affiliations

  1. ICTAS/ECE, Virginia Tech, 1991 Kraft Drive, Suite 2019, 24060, Blacksburg, VA, USA

    Ahmed Abdelhadi

  2. ICTAS/ECE, Virginia Tech, 900 N. Glebe Road, 22203, Arlington, VA, USA

    Charles Clancy

Authors
  1. Ahmed Abdelhadi
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  2. Charles Clancy
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Correspondence to Ahmed Abdelhadi .

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Editors and Affiliations

  1. Electrical Engg Bldg, Rm 325, The University of New South Wales, Sydney, New South Wales, Australia

    Wei Zhang

Section Editor information

  1. School of Computer Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore, Singapore

    Dusit Niyato

  2. School of Computer Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore, Singapore

    Ping Wang

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Abdelhadi, A., Clancy, C. (2017). Application-Aware Spectrum Sharing. In: Zhang, W. (eds) Handbook of Cognitive Radio . Springer, Singapore. https://doi.org/10.1007/978-981-10-1389-8_13-1

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  • DOI: https://doi.org/10.1007/978-981-10-1389-8_13-1

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  • Print ISBN: 978-981-10-1389-8

  • Online ISBN: 978-981-10-1389-8

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