Mobile Worldwide Interoperability for Microwave Access (WiMAX) is a broadband wirelessrntechnology based on the IEEE 802.16e standard. It is designed to provide voice, data and videornservices that require high data rates for fixed, nomadic and mobile users moving at vehicular speedsrngreater than 120 km/hr.rnGrowth trends of voice and data traffic in various African countries reflect a huge incrementrnin recent years. Currently deployed second and third generation telecommunication technologiesrnwill eventually struggle to swallow this perpetual traffic growth. This signals an eminent need tornultimately resort to deploying fourth generation (4G) technologies such as WiMAX that offer betterrnthroughput and coverage. This presents an opportunity/market potential for WiMAX or other 4Grntechnologies.rnIn order to deploy WiMAX in any given metropolitan area, it is imperative to performrndimensioning and radio network planning steps. The IEEE 802.16e standard offers severalrnoptions/choices in its physical and medium access control layers. Within these choices, this thesisrnwork focuses on carving out a mobile WiMAX package that fits a pre-defined coverage and capacityrnrequirement of Addis Ababa city. The basic dimensioning steps for the access and core network arernoutlined and conducted using the geographic and demographic data of the aforementioned city.rnRadio network planning tools such as EDX-PRO and ATTOL cost in the order of thousands ofrnUS dollars. Therefore, in this research, a Radio Network Planning (RNP) tool/MATLAB program thatrnoperates on a selected propagation model and a digital terrain model database is developed andrnused.rnThis thesis work, to the best of my knowledge, is the first research/case study to bernconducted taking capacity and coverage requirements of developing nations. It is also the firstrnresearch that is not constrained to capacity and coverage planning via theoretical analysis.rnTheoretical coverage estimations make use of empirical propagation models without any specialrnconsideration to the specific terrain type. The development of the RNP tool allows us to perform arnmore accurate coverage analysis based on actual terrain parameters that are extracted from arndigital map. The RNP tool is used on five distinct metropolitan areas with different terrain type,rnnamely, Bole Medhanialem, Gerji, Meskel Square, Piassa and Sidist Kilo. The average coverage perrnbase station is computed from the results of these five areas. This process is useful in forecasting therntotal number of base stations required to offer the service on every corners of Addis Ababa or arnselected portion of the city.