Impact of Inaccurate User and Base Station Positioning on Autonomous Coverage Estimation

Akbari, I., Onireti, O. , Imran, A., Imran, M. A. and Tafazolli, R. (2015) Impact of Inaccurate User and Base Station Positioning on Autonomous Coverage Estimation. In: 2015 IEEE 20th International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD), Guildford, United Kingdom, 07-09 Sep 2015, pp. 114-118. ISBN 9781467381864 (doi: 10.1109/CAMAD.2015.7390491)

Abstract

Autonomous monitoring of key performance indicators, which are obtained from measurement reports, is well established as a necessity for enabling self-organising networks. However, this reports are usually tagged with geographical location information which are obtained from positioning techniques and are therefore prone to errors. In this paper, we investigate the impact position estimation errors on the cell coverage probability that can be estimated from autonomous coverage estimation (ACE). We derive novel and accurate expressions of the actual cell coverage probability of such scheme while considering: errors in user equipment (UE) location and; errors in both UE and base station location. We present generic expressions for channel modelled with path-loss and shadowing, and much simplified expressions for the path-loss dominant channel model. Our results reveal that the ACE scheme will be suboptimal as long as there are errors in the reported geographical location information. Hence, appropriate coverage margins must be considered when utilising ACE.

• Item Type: Conference Proceedings
• Additional Information: This work was made possible by NPRP grant No. 5-1047- 2-437 from the Qatar National Research Fund (a member of The Qatar Foundation).
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Imran, Professor Muhammad and Onireti, Oluwakayode
• Authors: Akbari, I., Onireti, O., Imran, A., Imran, M. A., and Tafazolli, R.
• College/School: College of Science and Engineering > School of Engineering; College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• ISBN: 9781467381864
• Copyright Holders: Copyright © 2015 IEEE
• First Published: First published in 2015 IEEE 20th International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD): 114-118
• Publisher Policy: Reproduced in accordance with the publisher copyright policy