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Busy Period Analysis of a Queueing System with Breakdowns and Its Application to Wireless Network Under Licensed Shared Access Regime

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitrag

Abstract

Licensed shared access (LSA) framework is becoming one of the promising trends for future 5G wireless networks. Two main parties are involved in the process of sharing the frequency band – the primarily user (owner) and the secondary user (licensee). From the LSA licensee’s perspective, who has access to the band when the owner does not need it, the band is unreliable and its customers (e.g. users of wireless network) suffer from possible service interruptions. This can only occur when there is at least one customer in service (i.e. in busy period). The aim of this paper is to estimate the impact of the LSA band unreliability to the LSA licensee within the period when some interruptions are possible. The metric is the relation between the number of service interruptions and the number of customers served during a busy period. We model the occupancy of the LSA band as a multi-server homogeneous queueing system with finite and infinite buffer size and deal with the busy period analysis. The system is analyzed in steady state by deriving expressions in terms of the Laplace-Stiltjes transforms for the continuous time distributions and in terms of the probability generating functions for the number of customers served during a busy period and number of failures which occur in a busy period. The non-monotonic nature of some probabilistic measures is identified. Some illustrative examples are added to the paper.
OriginalspracheEnglisch
TitelInternet of Things, Smart Spaces, and Next Generation Networks and Systems. 16th International Conference, NEW2AN 2016, and 9th Conference, ruSMART 2016, St. Petersburg, Russia, September 26-28, 2016, Proceedings
Herausgeber*innenOlga Galinina, Yevgeni Koucheryavy, Sergey Balandin
VerlagSpringer
Seiten426-439
Seitenumfang14
ISBN (Print)9783319463001
DOIs
PublikationsstatusVeröffentlicht - 2016

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band9870 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Wissenschaftszweige

  • 101 Mathematik
  • 101014 Numerische Mathematik
  • 101018 Statistik
  • 101019 Stochastik
  • 101024 Wahrscheinlichkeitstheorie

JKU-Schwerpunkte

  • Computation in Informatics and Mathematics
  • TNF Allgemein

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