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Authors: M. Sousa 1 ; A. Martins 2 and P. Vieira 3

Affiliations: 1 Instituto Superior de Engenharia de Lisboa (ISEL) and Consultoria em Telecomunicações Lda., Portugal ; 2 Consultoria em Telecomunicações Lda. and Instituto de Telecomunicações (IT), Portugal ; 3 Instituto de Telecomunicações (IT) and Instituto Superior de Engenharia de Lisboa (ISEL), Portugal

ISBN: 978-989-758-196-0

Keyword(s): Wireless Communications, SON, Self-Diagnosis, Coverage Detection, Interference Control.

Related Ontology Subjects/Areas/Topics: Performance Analysis of Wireless Networks ; Telecommunications ; Wireless and Mobile Technologies ; Wireless Information Networks and Systems

Abstract: This paper presents a new approach for automatic detection of low coverage and high interference scenarios (overshooting and pilot pollution) in Universal Mobile Telecommunications System (UMTS) /Long Term Evolution (LTE) networks. These algorithms, based on periodically extracted Drive Test (DT) measurements (or network trace information), identify the problematic cluster locations and compute harshness metrics, at cluster and cell level, quantifying the extent of the problem. Future work is in motion by adding self-optimization capabilities to the algorithms, which will automatically suggest physical and parameter optimization actions, based on the already developed harshness metrics. The proposed algorithms were validated for a live network urban scenario. 830 3rd Generation (3G) cells were self-diagnosed and performance metrics were computed. The most negative detected behaviors regards high interference control and not coverage verification.

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Paper citation in several formats:
Sousa M., Martins A. and Vieira P. (2016). Self-Diagnosing Low Coverage and High Interference in 3G/4G Radio Access Networks based on Automatic RF Measurement Extraction.In Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 6: WINSYS, (ICETE 2016) ISBN 978-989-758-196-0, pages 31-39. DOI: 10.5220/0005958300310039

@conference{winsys16,
author={M. Sousa and A. Martins and P. Vieira},
title={Self-Diagnosing Low Coverage and High Interference in 3G/4G Radio Access Networks based on Automatic RF Measurement Extraction},
booktitle={Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 6: WINSYS, (ICETE 2016)},
year={2016},
pages={31-39},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005958300310039},
isbn={978-989-758-196-0},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 6: WINSYS, (ICETE 2016)
TI - Self-Diagnosing Low Coverage and High Interference in 3G/4G Radio Access Networks based on Automatic RF Measurement Extraction
SN - 978-989-758-196-0
AU - Sousa M.
AU - Martins A.
AU - Vieira P.
PY - 2016
SP - 31
EP - 39
DO - 10.5220/0005958300310039

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