Aramide, Samuel O.; Barakat, Basel; Wang, Yi; Keates, Simeon and Arshad, Kamran. 2017. 'Generalized proportional fair (GPF) scheduler for LTE-A'. In: 2017 9th Computer Science and Electronic Engineering (CEEC). Colchester, United Kingdom 27 - 29 September 2017. [Conference or Workshop Item]

Preview

Text 17663 BARAKAT_Generalized_Proportional_Fair_Scheduler_2017.pdf - Accepted Version Download (279kB) | Preview

Abstract or Description

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 or Workshop Item (Paper)
Identification Number (DOI):	https://doi.org/10.1109/CEEC.2017.8101612
Additional Information:	“© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”
Keywords:	Throughput, Scheduling algorithms, Resource management, Indexes, Energy efficiency
Departments, Centres and Research Units:	Computing
Dates:	Date Event 29 September 2017 Accepted 9 November 2017 Published
Event Location:	Colchester, United Kingdom
Date range:	27 - 29 September 2017
Item ID:	38189
Date Deposited:	31 Jan 2025 12:40
Last Modified:	31 Jan 2025 16:07
URI:	https://research.gold.ac.uk/id/eprint/38189

View statistics for this item...

Edit Record (login required)