Performance Measures Analysis of Admission Control Scheme Model for Wireless Network, Described by a Queuing System Operating in Random Environment

According to the latest data from the leading participants in the telecommunications market, such as Cisco Systems, the volume of traffic generated in modern wireless networks is increasing exponentially. The rapid growth of traffic, which appears in the context of providing a wide range of high-quality multimedia services to mobile network users leads to a lack of available radio spectrum. This is becoming a major problem in the development of modern wireless technologies. Mobile network operators offer various methods for solving this problem, such as the frameworks LAA and LSA, which allow more efficient use of available resources in the frequency band. In addition, as part of the implementation of various technologies to provide users services with the required level of QoS, mechanisms for managing radio resources, such as reducing the downlink power and interrupting users services can be applied. Models implementing such mechanisms can be described in the form of a queuing system with unreliable servers. This paper analyzes the performance metrics of a possible scheme for accessing the radio resources of a wireless network implemented through a mechanism for reducing the downlink power and interrupting user service. The mechanism itself is described in the form of a queuing system with unreliable servers, that are affected by a random environment. © 2018 IEEE.

Сборник материалов конференции
  • 1 Department of Applied Probability and Informatics, Peoples Friendship University of Russia, RUDN University, 6 Miklukho-Maklaya St., Moscow, 117198, Russian Federation
  • 2 Institute of Informatics Problems, Federal Research Center Computer Science and Control, Russian Academy of Sciences, 44-2 Vavilova Str., Moscow, 119333, Russian Federation
Ключевые слова
Blocking probability; Interruption probability; Mean bit rate; Power limitation; Queuing system; Random environment; Recursive algorithm; Service interruption
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