Sharsheer, Mohammad; Barakat, Basel and Arshad, Kamran. 2016. 'Coverage and capacity Self-Optimisation in LTE-Advanced using Active Antenna Systems'. In: 2016 IEEE Wireless Communications and Networking Conference. Doha, Qatar 3 - 6 April 2026. [Conference or Workshop Item]

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Abstract or Description

In order to enhance the Long Term Evolution (LTE) network performance, the Third Generation Partnership Project (3GPP) introduced Coverage and Capacity Optimisation (CCO) in the context of Self Organising Network (SON). Antenna parameters (i.e. azimuth, electrical tilt etc.) play a key role in CCO and have a significant impact on the users' Quality of Service (QoS). In this paper, a novel metric, to evaluate the cells performance, that consider several performance indicators, is introduced. Furthermore, a distributed CCO algorithm is proposed which has three distinct phases. The first phase is to determine the target cell, the second phase adjust the antenna parameters for the target and neighbouring cells and in the last phase the optimum antenna parameters for the target and neighbouring cells is determined. The simulation results show significant improvement in the overall network performance with the proposed CCO algorithm. In particular, the target cell average performance can be improved by 16.75%.

Item Type:	Conference or Workshop Item (Paper)
Identification Number (DOI):	https://doi.org/10.1109/WCNC.2016.7564650
Additional Information:	“© 2016 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:	Antennas, Measurement, Optimization, Azimuth, Throughput, Long Term Evolution, Heuristic algorithms
Departments, Centres and Research Units:	Computing
Dates:	Date Event 3 April 2016 Accepted 15 September 2016 Published
Event Location:	Doha, Qatar
Date range:	3 - 6 April 2026
Item ID:	38195
Date Deposited:	29 Jan 2025 09:32
Last Modified:	29 Jan 2025 11:43
URI:	https://research.gold.ac.uk/id/eprint/38195

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