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| dc.contributor.author | Thewodros, Ayele | |
| dc.date.accessioned | 2022-11-18T07:15:38Z | |
| dc.date.available | 2022-11-18T07:15:38Z | |
| dc.date.issued | 2022-07 | |
| dc.identifier.uri | http://ir.bdu.edu.et/handle/123456789/14466 | |
| dc.description.abstract | The mobile network generation has undergone an unprecedented change that attempts to meet the large demand for data-driven by large connected devices and systems. To meet the massive demand of large capacity, current mobile networks should employ technologies that utilize a broad spectrum, offer higher cell density and high spectral efficiency. Small cell deployment has been a critical upgrade in Fourth Generation (4G) mobile networks. As higher spectrum bands require denser network deployments to support higher traffic volumes per unit area, the need for small cells will has become more critical in Fifth Generation (5G) networks, which is expected to satisfy the requirements for future heterogeneous usage situations, such as huge expansion in connectivity and traffic volume. Together with small cells, network densification is expected to play a significant role in the fifth generation and beyond networks. In this thesis, ultra-dense networks (UDNs) 5G network planning and multiobjective optimization have been done to analyze the practical deployment for standalone ultra-dense 5G small-cell network in Bahir Dar city. Propagation modeling is performed using a deterministic dominant path loss model that incorporates the city's buildings and terrain maps. The multiobjective optimization algorithm that gives more emphesises mainly on the constraints of coverage (the number of base satations) and capacity has been solved using Genetic algorithm. The optimal network and propagation parameters that maximizes the throughput is selected based on the proposed multiobjective optimization algorithm. To realize and compare the performance of ultradense network topologies in a realistic urban case study area, an ultra-dense network multiobjective optimization approach is developed in this study. The outdoor base station planning considers small cell, streetlamp posts, utility pole, buildings and new candidate locations. The obtained Pareto optimal networks shows the aggregate capacity of 1.728 Gbps for steet lamp post sites consideration, while considering streetlamp posts, buildings and new candidate loctitions the aggregate capacity is increased to 4.304 Gbps. Finaly, by considering the hybrid of all scenarios (i.e. streetlamp posts, utility pole, buildings and new candidate locations) the aggregate capacity reaches 7.686 Gbps. According to planning outcomes for small cell distribution, locations other than main streets require a greater need for outdoor small cell deployment. Keywords: 5G Ultra-dense, Multiobjective optimization, Network Planning and Optimization, GA, Small cells | en_US |
| dc.language.iso | en_US | en_US |
| dc.subject | Faculty of Electrical and Computer Engineering | en_US |
| dc.title | Planning and Optimization of Ultra-Dense 5G Small Cell Network In The Hot Spot Area of Bahir Dar City | en_US |
| dc.type | Thesis | en_US |
