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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Coverage and capacity Self-Optimisation in LTE-Advanced using Active Antenna Systems

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. IEEE, pp. 79-83. ISBN 9781467398145

Item Type: Book Section

Abstract

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%.

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More Information

Depositing User: Basel Barakat

Identifiers

Item ID: 14186
Identification Number: https://doi.org/10.1109/WCNC.2016.7564650
ISBN: 9781467398145
URI: http://sure.sunderland.ac.uk/id/eprint/14186
Official URL: https://ieeexplore.ieee.org/document/7564650

Users with ORCIDS

ORCID for Basel Barakat: ORCID iD orcid.org/0000-0001-9126-7613

Catalogue record

Date Deposited: 17 Jan 2022 09:27
Last Modified: 25 Jan 2022 08:46

Contributors

Author: Basel Barakat ORCID iD
Author: Mohammad Sharsheer
Author: Kamran Arshad

University Divisions

Faculty of Technology > School of Computer Science

Subjects

Computing
Engineering

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