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Generalized proportional fair (GPF) scheduler for LTE-A

Generalized proportional fair (GPF) scheduler for LTE-A

Aramide, Samuel O., Barakat, Basel ORCID logoORCID: https://orcid.org/0000-0001-9126-7613, Wang, Yi, Keates, Simeon ORCID logoORCID: https://orcid.org/0000-0002-2826-672X and Arshad, Kamran (2017) Generalized proportional fair (GPF) scheduler for LTE-A. In: 2017 9th Computer Science and Electronic Engineering (CEEC). IEEE, University of Essex, pp. 128-132. ISBN 978-1-5386-3008-2 (doi:10.1109/CEEC.2017.8101612)

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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.

Item Type: Conference Proceedings
Title of Proceedings: 2017 9th Computer Science and Electronic Engineering (CEEC)
Additional Information: CEEC 2017: 9th Computer Science & Electronic Engineering Conference, University of Essex, UK, 27 – 29 September 2017.
Uncontrolled Keywords: Generalised Proportional Fair scheduler; LTE-A; Radio Resources Management; Packet Scheduler; Throughput; Energy Efficiency; Fairness
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Engineering (ENG)
Faculty of Engineering & Science > Future Technology and the Internet of Things
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Last Modified: 17 Oct 2018 11:14
URI: http://gala.gre.ac.uk/id/eprint/17663

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