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LTE Uplink Scheduling - Flow Level Analysis

  • D. C. Dimitrova
  • J. L. van den Berg
  • G. Heijenk
  • R. Litjens
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6886)

Abstract

Long Term Evolution (LTE) is a cellular technology foreseen to extend the capacity and improve the performance of current 3G cellular networks. A key mechanism in the LTE traffic handling is the packet scheduler, which is in charge of allocating resources to active flows in both the frequency and time dimension. In this paper we present a performance comparison of three distinct scheduling schemes for LTE uplink with main focus on the impact of flow-level dynamics resulting from the random user behaviour. We apply a combined analytical/simulation approach which enables fast evaluation of flow-level performance measures. The results show that by considering flow-level dynamics we are able to observe performance trends that would otherwise stay hidden if only packet-level analysis is performed.

Keywords

Arrival Rate Mobile Station Long Term Evolution Resource Block Cell Edge User 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • D. C. Dimitrova
    • 1
  • J. L. van den Berg
    • 1
    • 2
  • G. Heijenk
    • 1
  • R. Litjens
    • 2
  1. 1.University of TwenteEnschedeThe Netherlands
  2. 2.TNO ICTDelftThe Netherlands

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