College of Natural Sciences (CoNAS)

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https://dissertations.mak.ac.ug/handle/20.500.12281/24

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Browsing College of Natural Sciences (CoNAS) by Subject "4G broadband cellular Network signal to noise ratio"
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    Performance analysis of the 4G broad band cellular network in Makerere University
    (MAKERERE UNIVERSITY, 2023-07-17) Walugembe, Abdukalimu
    The fourth-generation (4G) network has revolutionized wireless communication, enabling faster data transfer rates, enhanced connectivity, and improved user experiences. This project aims to analyze the performance and characteristics of the 4G network, with a particular focus on the downlink frequency and its implications for signal-to-noise ratio (SNR) and interference. Field testing and data collection were conducted around Makerere University to measure and analyze the SNR values in dB for areas with 4G network coverage. The obtained re sults revealed SNR values ranging from 10 dB and less, indicating challenging conditions with potential interference sources. The analysis also unveiled varying levels of interfer ence in different locations, highlighting areas with high population density and extensive wireless device usage as hotspots for interference. Moreover, this project delves into the concept of spectrum occupancy to assess the utiliza tion of the electromagnetic spectrum in the 4G network. By studying the allocation and availability of frequency bands, regulatory considerations, and their impact on network performance, insights into the efficient utilization of the spectrum were obtained. The findings of this project contribute to a deeper understanding of the performance and challenges associated with the 4G network, particularly in areas with SNR values of 10 dB and less. The conclusions drawn from the analysis emphasize the significance of imple menting effective interference mitigation strategies and efficient spectrum management to optimize the network’s performance and provide a reliable and seamless user experience. By investigating the SNR values, interference levels, and spectrum occupancy in the 4G network, this project sheds light on the factors affecting network performance and offers valuable insights for network optimization and improvement.