Multiservice queueing system with MAP arrivals for modelling LTE cell with H2H and M2M communications and M2M aggregation

The paper address resource allocation in an LTE call with both human-to-human and machine-to-machine (M2M) communications. M2M aggregation and access barring are considered as a means to reduce congestion due to the nature of M2M traffic. The cell is modelled as a multiservice queueing system with streaming and elastic customers. Resources for M2M communications are allocated in batches of fixed size; requests for them arrive according to a Markovian arrival process. We obtain the stationary probability distribution of the system and formulas for its performance measures and propose an algorithm for their computation. © 2017, Springer International Publishing AG.

Authors
Vishnevsky V.M.1 , Samouylov K.E. 2 , Naumov V.A. 3 , Krishnamoorthy A.4 , Yarkina N. 2
Journal
Communications in Computer and Information Science
Publisher
Springer Verlag
Language
English
Pages
63-74
Status
Published
DOI
10.1007/978-3-319-66836-9_6
Volume
700
Year
2017
Organizations
  • 1 V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russian Federation
  • 2 Department of Applied Probability and Informatics, RUDN University, Moscow, Russian Federation
  • 3 Service Innovation Research Institute (PIKE), Helsinki, Finland
  • 4 Department of Mathematics, CMS College, Kottayam, India
Keywords
Access barring; Aggregation; Internet of things IoT; LTE; M2M; Machine-to-machine communication; Machine-type communication; Map; Markovian arrival process; MTC; Queueing system; Teletraffic theory
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