Capacity management using the queuing algorithm - a case study of Kasapa Telecom

Simple item page
dc.contributor.authorAntwi-Agyei, Percy Asante
dc.date.accessioned2011-08-24T09:04:51Z
dc.date.accessioned2023-04-19T00:25:06Z
dc.date.available2011-08-24T09:04:51Z
dc.date.available2023-04-19T00:25:06Z
dc.date.issued2008-08-24
dc.descriptionA Thesis submitted to the School of Business, Kwame Nkrumah University of Science and Technology in partial fulfilment of the requirements for the degree of Masters in Business Administration, 2008en_US
dc.description.abstractService providers, including cellular network operators, have always been challenged with balancing capacity and demand, partly due to the difficulty in predicting demand patterns. The ability to accurately forecast capacity will improve and sustain reliability and profitability for service providers. In telecommunication networks, capacity is the maximum traffic per unit of time that a given telecommunication system, subsystem, or device can carry under specified conditions. Traffic analysis and therefore capacity analysis enables you to determine the amount of bandwidth you need in your circuits for data and for voice calls to achieve already set service quality levels. The queuing model is a very useful tool in the « planning of capacity. It is in the light of the above challenges and difficulties that this study was undertaken to attempt to use the models to manage capacity of the Kasapa Telecom and to assess the service levels. It was revealed that the models can be adequately used to manage capacity in cellular systems. The current service levels of the network meet international standards. The study also revealed that the existing capacity on the network is able to meet demand in future and still maintain the service quality.en_US
dc.description.sponsorshipKNUSTen_US
dc.identifier.urihttps://ir.knust.edu.gh/handle/123456789/1106
dc.language.isoenen_US
dc.relation.ispartofseries4532;
dc.titleCapacity management using the queuing algorithm - a case study of Kasapa Telecomen_US
dc.typeThesisen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
KNUST Library.pdf
Size:
7.09 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description:
Download
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description:
Download
Collections
Student Thesis