Investigation of the user redial and its effect on the network congestion in call admission: A case study in Ghana

Jennifer Mintah Gyamfuaa, Willie K. Ofosu, K. A. Dotche, K. Diawuo

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The paper investigates the channel congestion algorithm in cellular network against real traffic data. The data were obtained from a cellular network operator including the initial number of channels and the load demand. A prior channel number is defined to a predicted load demand at the planning process. The work evaluates the channel congestion and the behavioural user redial effect on the network employing the uniform redial model, and analyses the induced excess traffic load in Ghana, based on the conditional probability that the customer has already redialled and failed. The effective load is calculated from the assumption of repeated redials. The analyses have illustrated that the effective load may be less than the measured load. This is an indication that there may be some amount of excess traffic on the network. This may indicate that the higher the redial probability and the more redials are introduced onto the network therefore the redialling at a higher probability may increase the blocking probability on the network.

Original languageEnglish (US)
Title of host publicationProceedings of the Future Technologies Conference (FTC) 2018 - Volume 2
EditorsSupriya Kapoor, Kohei Arai, Rahul Bhatia
PublisherSpringer Verlag
Number of pages10
ISBN (Print)9783030026820
StatePublished - 2019
EventFuture Technologies Conference, FTC 2018 - Vancouver, BC, Canada
Duration: Nov 15 2018Nov 16 2018

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357


OtherFuture Technologies Conference, FTC 2018
CityVancouver, BC

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • General Computer Science


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