Skip to search boxSkip to navigationSkip to main content

Scheduling policies based on dynamic throughput and fairness tradeoff control in LTE-A networks

  • Ioan-Sorin Comşa
    ,
  • Mehmet Emin Aydin
    ,
  • Sijing Zhang
    ,
  • Pierre Kuonen
    ,
  • Jean–Frédéric Wagen
    ,
  • Yao Lu
  • University of Applied Sciences Western Switzerland
Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Abstract

In LTE-A cellular networks there is a fundamental trade-off between the cell throughput and fairness levels for preselected users which are sharing the same amount of resources at one transmission time interval (TTI). The static parameterization of the Generalized Proportional Fair (GPF) scheduling rule is not able to maintain a satisfactory level of fairness at each TTI when a very dynamic radio environment is considered. The novelty of the current paper aims to find the optimal policy of GPF parameters in order to respect the fairness criterion. From sustainability reasons, the multi-layer perceptron neural network (MLPNN) is used to map at each TTI the continuous and multidimensional scheduler state into a desired GPF parameter. The MLPNN non-linear function is trained TTI-by-TTI based on the interaction between LTE scheduler and the proposed intelligent controller. The interaction is modeled by using the reinforcement learning (RL) principle in which the LTE scheduler behavior is modeled based on the Markov Decision Process (MDP) property. The continuous actor-critic learning automata (CACLA) RL algorithm is proposed to select at each TTI the continuous and optimal GPF parameter for a given MDP problem. The results indicate that CACLA enhances the convergence speed to the optimal fairness condition when compared with other existing methods by minimizing in the same time the number of TTIs when the scheduler is declared unfair.

Publication Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 418-421

Publication milestones

  • Published - 16/10/2014

Publication status

Published - 16/10/2014

Publisher

IEEE Computer Society, United States

ISBN (Print)

9781479937806

Publication IDs

  • handle.net: 10547/624327
  • Scopus: 84908325014

Host publication title

39th Annual IEEE Conference on Local Computer Networks

Access to documents

Publication metrics

Metrics

Scopus
citations
18, opens in new tab

PlumX, opens in new tab

Captures
19
Citation count
18

Related Event

Title

39th Annual IEEE Conference on Local Computer Networks

Description

39th Annual IEEE Conference on Local Computer Networks (08/09/2014-11/09/2014, Edmonton)

Event type

Conference

Date

08/09/2014 - 11/09/2014

Location

Edmonton