Lte Radio Access Network Dimensioning By Particle Swarm Optimization

In this research, Long Term Evolution Radio Access Network Dimensioning by ParticlernSwarm Optimization (PSO) in the case of Addis Ababa, Ethiopia has been introduced. rnCurrently, mobile network service provision demand is increasing, especially customers’rndata demand increases time to time. To accommodate this demand, LTE is in handrnsolution. Preparing nominal plan after dimensioning is tiresome and error prone. The motivernof this research is to use PSO for addition of new sites to the existing e-NodeBs in order tornsimplify LTE planning by considering traffic distribution. Using PSO has good result in orderrnto find optimal position of new site. rnThere are many researches done on LTE radio network dimensioning. However, they didrnnot consider actual customer distribution or traffic density, which will cause inefficient usernof the network resource. With this research, PSO has been checked for LTE dimensioningrnin the case of Addis Ababa for LTE RAN planning and congestion optimization that it willrnassist to put new sites on high traffic density area. rnLTE coverage dimensioning have been done by two ways: by empirical way using Cost231rnrnpropagation model and by outdoor planning tool, Mentum planet. LTE capacityrndimensioning was also done by two scenarios: from traffic history prediction andrnexpectation of the coming big data demand of Internet of Things, Machine to Machine andrne-commerce. Live network traffic history and Time Advance measurement of GlobalrnSolution for Mobile communication have been taken and average traffic probabilityrndistribution function (PDF) and optimal traffic probability density function(pdf) have beenrndeveloped. From which, inter-site traffic share models have been formulated. rnFinally, model for PSO has been developed. For each new site; searching radius, minimumrninter-site distance and required point by searching optimal points within searching area asrnwell as total number of sites were determined. rnThis research shows that number of sites found based on numerical calculation for capacityrnis not enough to support expected traffic due to uneven traffic distribution. It confirmed thatrnusing single type of LTE site is both inefficient and insufficient.

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