Generalized proportional fair (GPF) scheduler for LTE-A

Samuel O. Aramide, Basel Barakat, Yi Wang, Simeon Keates, Kamran Arshad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The growth of wireless traffic and the demand for higher data rates motivated researchers around the world to enhance the Long Term Evolution-Advanced (LTE-A) performance. Recently, a considerable amount of the research had been done to optimise the packet schedulers. The packet schedulers distribute the radio resources among users to increase spectrum efficiency and network performance. In this paper, a Generalized Proportional Fair (GPF) scheduler is used to enhance the scheduler performance compared to the other conventional schedulers. The GPF scheduler performance is compared in terms of users' throughput, energy efficiency, spectral efficiency and fairness using system level simulations. The simulation results show that the proposed scheduler outperforms the conventional schedulers proposed for LTE-A.

Original languageEnglish
Title of host publication2017 9th Computer Science and Electronic Engineering Conference, CEEC 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages128-132
Number of pages5
ISBN (Electronic)9781538630075
DOIs
Publication statusPublished - 8 Nov 2017
Event9th Computer Science and Electronic Engineering Conference, CEEC 2017 - Colchester, United Kingdom
Duration: 27 Sept 201729 Sept 2017

Publication series

Name2017 9th Computer Science and Electronic Engineering Conference, CEEC 2017 - Proceedings

Conference

Conference9th Computer Science and Electronic Engineering Conference, CEEC 2017
Country/TerritoryUnited Kingdom
CityColchester
Period27/09/1729/09/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computer Networks and Communications
  • Computer Science Applications
  • Electrical and Electronic Engineering

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