Arshad, Kamran (2015) LTE system level performance in the presence of CQI feedback uplink delay and mobility. In: International Conference on Communications, Signal Processing, and their Applications (ICCSPA), 2015. IEEE, pp. 1-5. ISBN 978-1-4799-6532-8 (doi:10.1109/ICCSPA.2015.7081294)

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Abstract

Long Term Evolution (LTE) is a promising technology for the wireless and mobile communication systems and is being commercially launched in various countries of the world. The Third Generation of Partnership Project (3GPP), through de- sign and optimisation of new radio access techniques, is further developing the future LTE-Advanced technology to remain on the forefront of wireless technologies. However, it is still challenging in LTE to provide the desired quality of service to the users particularly in the presence of high mobility and uplink feedback delay. In this paper, the impact of Channel Quality Indicator (CQI) uplink feedback delay on the overall network performance under different scheduling algorithms and mobility patterns is discussed. We study average user equipment (UE) throughput, average cell-edge UE throughput and average cell throughput under mobility and conclude that for an efficient LTE-Advanced scheduling algorithm, UE speed and CQI feedback delay must be taken into account.

Item Type:	Conference Proceedings
Title of Proceedings:	International Conference on Communications, Signal Processing, and their Applications (ICCSPA), 2015
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. International Conference on Communications, Signal Processing, and their Applications, 17-19 Feb., Sharjah, United Arab Emirates 2015
Uncontrolled Keywords:	Delays; Interference; Long Term Evolution; Scheduling algorithms; Signal to noise ratio; Throughput; Uplink
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Engineering (ENG)
Last Modified:	03 Jan 2017 15:36
URI:	http://gala.gre.ac.uk/id/eprint/13302

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