Yalemzewd, Negash (PhD)Daniel, Gonfa2022-02-032023-11-042022-02-032023-11-042021-09http://etd.aau.edu.et/handle/123456789/29888As technology advances, the traffic demand has increased in tandem with the evolution of mobile service types, and prompting mobile operators to enhance their network capacity. Because optimum link capacity planning is expressed in terms of both cost and network performance, operators face a challenge in managing limited network resources such as microwave channel frequency and modulation order. Although the peak capacity of mobile services for provisioning of uplink microwave backhaul has resulted in underutilized links, it is a prevalent practice among service providers due to its ease of installation. Underutilized microwave links required higher transmission power and antenna size due to excessive modulation order, and frequency channel spacing which decreases receiver sensitivity, that affects link reliability. Thus, the fundamental purpose of this study is to optimize underutilized microwave link capacity using a real-time traffic to free up unused resources. Hence, this paper proposed an approach of link capacity dimensioning using Probabilistic approach for busy hour traffic, and SARIMA time series modeling for future traffic trend of sample sites from Addis Ababa. Therefore, the study’s key findings include 40% of sites in sample space have been reduced the unused channel frequency by half, 92% of sites optimized their modulation order by one forth, and improvement of overall link percentage utilization from 31% to 60% as minimum, as well as link reliability improvement of the microwave backhaul in particular, comparatively with the existing link capacity using the proposed approach.en-USMW Mobile backhaulreal-time link capacity dimensioningSARIMA ModelingThesis