Short Message Service (SMS) is a widely used text messaging service on mobile devices.rnBusiness owners and companies look forward to new ways of promoting their servicesrnand products to reach and attract the intended users. However, SMS distribution is notrninvestigated in Ethio Telecom with time and location. The current way of selectingrncustomers to send bulk SMS is very costly and resource wastage. rnThe concern of the thesis is to understand the SMS distribution and develop arnspatiotemporal model of SMS traffic using city of Addis Ababa, Ethiopia as a case study.rnThe dataset is extracted from SMS traffic of Ethio Telecom network system. The modelrnselection is performed in time and space domain using Fourier Transform methods. Byrnapplying Fourier Transform, five major frequency components are identified withrndifferent magnitude of coefficients and phases. Then, the coefficient and phase values arerntransformed from spatial to spectral-domain by applying Two Dimensional DiscreternCosine Transform. The tools used are Matlab for traffic modeling, MapInfo to maprngeographical location and SPSS for analysis. rnValidation of the SMS traffic distribution model is done based on the Rrn2rn coefficient ofrndetermination statistically. The accuracy of the proposed temporal model is evaluatedrnwith real SMS traffic data. The results show that these models can accurately describe thernvariation pattern of real SMS traffic. In the spatial model, the effect of the level ofrntruncation on the frequency of transformed phase and coefficient on the modelrnperformance is evaluated. Finally, a mathematical model that captures the SMS trafficrnvariation of any location in the city at any time of the day is developed. Furthermore,rncorrelation analysis is done between outgoing and incoming SMS traffic. The general SMSrnusage trend of customers that respond to SMS advertisements was analyzed.The distribution model helps the Company to know the SMS traffic distribution, whichrnin a way helps to understand the behaviours of its customers thereby saving cost andrnreducing resource wastage, and plan its marketing strategy accordingly.