Barakat, Basel and Arshad, Kamran. 2015. 'An adaptive hybrid scheduling algorithm for LTE-Advanced'. In: 2015 22nd International Conference on Telecommunications (ICT). Sydney, Australia 27 - 29 April 2015. [Conference or Workshop Item]

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Abstract or Description

The 3 rd Generation Partnership Project (3GPP) introduced Long Term Evolution (LTE) in release 8, and afterwards it was updated significantly in later releases (referred to as LTE-Advanced). LTE and LTE-Advanced (LTE-A) aim to achieve higher spectral efficiency, higher data rates, robustness and flexibility. Intelligent channel-aware radio resource scheduling is one of the key features of LTE-A. A number of schedulers proposed in the literature rely on the feedback sent from the Users Equipment (UE) without considering the presence of feedback delay. In this paper, we analyse the effect of the uplink delay on the cell performance of existing schedulers, in terms of throughput and the users' fairness. We then propose an adaptive hybrid scheduler to overcome the effect of the uplink delay on the scheduler performance. The simulation results show that our proposed scheduling algorithm outperforms the existing schedulers in the presence of uplink feedback delay.

Item Type:	Conference or Workshop Item (Paper)
Identification Number (DOI):	https://doi.org/10.1109/ICT.2015.7124663
Additional Information:	“© 2015 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, Delays, Uplink, Long Term Evolution, Scheduling algorithms, Bandwidth
Departments, Centres and Research Units:	Computing
Dates:	Date Event April 2015 Accepted 18 June 2015 Published
Event Location:	Sydney, Australia
Date range:	27 - 29 April 2015
Item ID:	38197
Date Deposited:	30 Jan 2025 15:45
Last Modified:	31 Jan 2025 08:27
URI:	https://research.gold.ac.uk/id/eprint/38197

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