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QoS Aware Admission and Power Control for Two-Tier Cognitive Femtocell Networks

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (ruSMART 2016, NEW2AN 2016)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 9870))

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Abstract

In two-tier femtocell networks, the femtocell users (FUs) can be admitted to the femto base stations (FBSs) provided that the interference to the primary users (PUs) is no higher than the defined thresholds. Moreover, several FBSs may require different quality of service (QoS) with different payments. This paper proposes a method to obtain from maximally achievable revenue from FBSs to the required QoS. It also proposes an efficient QoS aware admission algorithm which is compared with other schemes, such as minimum signal-to-interference-plus-noise ratio (SINR) removal algorithm (MSRA) and random SU removal algorithm (RSRA). Presented QoS aware admission algorithm can achieve a much higher revenue with required QoS. In addition, the proposed algorithm is evaluated by the simulation experiments.

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Authors and Affiliations

  1. Institute of Computer Science, Faculty of Mathematics and Computer Science, Jagiellonian University, ul. Prof. S. Łojasiewicza 6, 30-348, Cracow, Poland

    Jerzy Martyna

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  1. Jerzy Martyna
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Correspondence to Jerzy Martyna .

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Editors and Affiliations

  1. Tampere University of Technology , Tampere, Finland

    Olga Galinina

  2. FRUCT Oy , Helsinki, Finland

    Sergey Balandin

  3. Tampere University of Technology , Tampere, Finland

    Yevgeni Koucheryavy

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Martyna, J. (2016). QoS Aware Admission and Power Control for Two-Tier Cognitive Femtocell Networks . In: Galinina, O., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. ruSMART NEW2AN 2016 2016. Lecture Notes in Computer Science(), vol 9870. Springer, Cham. https://doi.org/10.1007/978-3-319-46301-8_14

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  • DOI: https://doi.org/10.1007/978-3-319-46301-8_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46300-1

  • Online ISBN: 978-3-319-46301-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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