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LTE Radio Access Network Dimensioning by Particle Swarm Optimization

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dc.contributor.advisor Yihenew, Wondie (PhD)
dc.contributor.author Woretaw, Chanie
dc.date.accessioned 2020-11-24T05:28:20Z
dc.date.available 2020-11-24T05:28:20Z
dc.date.issued 2020-02
dc.identifier.uri http://etd.aau.edu.et/handle/123456789/23458
dc.description.abstract In this research, Long Term Evolution Radio Access Network Dimensioning by Particle Swarm Optimization (PSO) in the case of Addis Ababa, Ethiopia has been introduced. Currently, mobile network service provision demand is increasing, especially customers’ data demand increases time to time. To accommodate this demand, LTE is in hand solution. Preparing nominal plan after dimensioning is tiresome and error prone. The motive of this research is to use PSO for addition of new sites to the existing e-NodeBs in order to simplify LTE planning by considering traffic distribution. Using PSO has good result in order to find optimal position of new site. There are many researches done on LTE radio network dimensioning. However, they did not consider actual customer distribution or traffic density, which will cause inefficient use of the network resource. With this research, PSO has been checked for LTE dimensioning in the case of Addis Ababa for LTE RAN planning and congestion optimization that it will assist to put new sites on high traffic density area. LTE coverage dimensioning have been done by two ways: by empirical way using Cost231 propagation model and by outdoor planning tool, Mentum planet. LTE capacity dimensioning was also done by two scenarios: from traffic history prediction and expectation of the coming big data demand of Internet of Things, Machine to Machine and e-commerce. Live network traffic history and Time Advance measurement of Global Solution for Mobile communication have been taken and average traffic probability distribution function (PDF) and optimal traffic probability density function(pdf) have been developed. From which, inter-site traffic share models have been formulated. Finally, model for PSO has been developed. For each new site; searching radius, minimum inter-site distance and required point by searching optimal points within searching area as well as total number of sites were determined. This research shows that number of sites found based on numerical calculation for capacity is not enough to support expected traffic due to uneven traffic distribution. It confirmed that using single type of LTE site is both inefficient and insufficient. en_US
dc.language.iso en_US en_US
dc.publisher Addis Ababa University en_US
dc.subject RAN dimensioning en_US
dc.subject particle swarm optimization en_US
dc.subject inter-site traffic share en_US
dc.title LTE Radio Access Network Dimensioning by Particle Swarm Optimization en_US
dc.type Thesis en_US

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