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
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.