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Queuing Model with Unreliable Servers for Limit Power Policy Within Licensed Shared Access Framework

  • Konstantin Samouylov
  • Irina GudkovaEmail author
  • Ekaterina Markova
  • Natalia Yarkina
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9870)

Abstract

Shared access to spectrum by several parties seems to become one of the most promising approaches to solve the problem of radio spectrum shortage. The framework proposed by ETSI, licensed shared access (LSA), gives the owner absolute priority in spectrum access, to the detriment of the secondary user, LSA licensee. The latter can access the spectrum only if the owner’s QoS is not violated. If the users of both parties need continuous service without interruptions, the rules of shared access should guarantee the possibility of simultaneous access. Balancing the radio resource occupation between parties could take quite a long time compared to the dynamics of the system due to the coordination process by the national regulation authority (NRA). We examine a scheme of the simultaneous access to spectrum by the owner and the LSA licensee that minimizes the coordination activities via NRA. According to this scheme, when the owner needs the spectrum, the power of the LSA licensee’s eNB/UEs is limited. From the LSA licensee’s perspective, the scheme is described in the form of a queuing system with reliable (single-tenant band) and unreliable (multi-tenant band) servers. We show that the infinitesimal generator of the system has a block tridiagonal form. The results are illustrated numerically by estimating the average bit rate of viral videos, which varies due to aeronautical telemetry corresponding to the owner’s traffic.

Keywords

Licensed shared access Limit power policy Queuing system Unreliable servers Blocking probability Average bit rate 

Notes

Acknowledgment

The authors are grateful to the students of the Applied Probability and Informatics Department of RUDN University Anastasia Feduro and Dmitry Polouektov for computing the numerical example.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Konstantin Samouylov
    • 1
  • Irina Gudkova
    • 1
    • 2
    Email author
  • Ekaterina Markova
    • 1
  • Natalia Yarkina
    • 1
  1. 1.RUDN UniversityMoscowRussia
  2. 2.Institute of Informatics ProblemsFederal Research Center “Computer Science and Control” of Russian Academy of Sciences (IPI FRC CSC RAS)MoscowRussia

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