Performance Analysis of UMTS Cellular Network Using Antenna  Orientation Based on Coverage and Capacity Using Machine Learning  Algorithm

Awoke, Gerem Kassa

dc.contributor.author	Awoke, Gerem Kassa
dc.date.accessioned	2024-03-05T09:03:56Z
dc.date.available	2024-03-05T09:03:56Z
dc.date.issued	2023-05-18
dc.identifier.uri	http://ir.bdu.edu.et/handle/123456789/15685
dc.description.abstract	WCDMA (Wideband Code Division Multiplexing Access is a 3G broadband, packet based transmission of text, voice, video, and multimedia Services. it provides several bearer services, real-time and non-real-time services, circuit, and packet switched transmission, and many different data rates. Now a days 4G and 5G are more dominant mobile systems in the world. But 3G also has a huge PS and CS traffic in Ethiopia. The Operators want to optimize these huge traffic generator network systems. There are different optimization techniques, among these techniques; antenna orientation is the most common technique. To do antenna parameter optimization, analyze the impact of antenna parameters on coverage and capacity on 3G network is needed. But sometimes these tasks are done by trial and error, and it takes time and incurs cost. In this study three research scenarios were considered. The first scenario: in this scenario we used Pythagoras mathematical model to calculate antenna tilt, Okumura Hata radio wave propagation models for 900MHZ node Bs and Cost 231 radio wave propagation model for 2100 MHZ node Bs to calculate received signal strength. the results show that, antenna height and antenna mechanical much up tilted, received signal strength and number of users would be increased and uplink load factor, downlink load factor and noise rise would be increase and vice versa. The second scenario: we used python jupyter notebook as a tool and Multi output Linear Regression as Algorithm. Multi output Linear Regression is used to analyze the impacts of each antenna parameters on coverage and capacity as well as predict the coverage and capacity's parameters. Antenna height, mechanical tilt, distance and number of users in a cell are input variables and coverage and capacity's parameters are output variables. Coverage’s parameter is received signal strength and the capacity's parameters are uplink load factor, downlink load factor and noise rise. We evaluated model and results are The R squared result is 96.41%, MAE result is 0.57, MSE result is 5.32 and RMSE result is 2.32. Mechanical tilt has the highest impact on downlink and uplink coverage and number of users have the highest impact on the uplink and downlink loads and noise rises. 2 The Third Scenario: we used Google earth and Atoll to the simulation. The results show that, mechanical tilt and antenna height have high impact on coverage area as a positive and received signal strength, service area analysis (Eb/Nt) and noise rise level as negative. Mechanical tilt and antenna height have more impacts on coverage and capacity. Whereas the electrical tilt has small impact on the coverage and capacity. Keywords Antenna height, coverage; capacity; Electrical tilt; Mechanical tilt, load factor	en_US
dc.language.iso	en_US	en_US
dc.subject	Information Technology	en_US
dc.title	Performance Analysis of UMTS Cellular Network Using Antenna Orientation Based on Coverage and Capacity Using Machine Learning Algorithm	en_US
dc.type	Thesis	en_US