Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/14641
Title: BUSY HOUR TRAFFIC CONGESTION ANALYSIS IN MOBILE MACROCELLS
Authors: Aliyu, Ozovehe
Okpo, Okereke U.
Anene, Chibuzo E.
Usman, Abraham U.
Keywords: traffic congestion; correlation coefficient; macrocells and key performance indicator
Issue Date: Oct-2017
Publisher: Nigerian Journal of Technology (NIJOTECH)
Abstract: Traffic congestion during busy hour (BH) deterirorates the overall performance of cellular network and may become unmanageable unless effective and efficient methods of congestion control are developed through real live traffic data measurement and analysis. In this work, real live traffic data from integrated GSM/GPRS network was used for traffic congestion analysis. The analysis was carried out on 10 congesting cells using network management system (NMS) statistics data span for three years period. Correlation test showed that traffic channel (TCH) congestion depend only on call setup success rate (CSSR) and BH traffic at cell level. An average correlation coefficient value of 0.9 was observed between TCH congestion and CSSR while 0.6 was observed between TCH congestion and BH traffic. The correlation test is important when selecting input for congestion prediction modeling.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/14641
ISSN: Print ISSN: 0331-8443, Electronic ISSN: 2467-8821
Appears in Collections:Telecommunication Engineering

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