2023ThesesMasters

Modelling and Optimization of 5g Network for enhanced connectivity

Brian Mhongo

In the realm of 5G network optimization, the SIMU5G framework emerges as a potent simulation tool, encapsulating adaptive numerology, scheduling support, and mmWave support for the comprehensive modeling and optimization of 5G networks. Operating on a simulation-based approach, SIMU5G enables detailed analysis and optimization within a controlled environment, measuring key metrics such as throughput, latency, and harqErrorRateDl to assess 5G network efficiency under diverse scenarios. The results offer valuable insights into network behavior and performance bottlenecks, positioning SIMU5G as an effective tool for 5G network optimization. Despite its merits, this research acknowledges the framework's limitations, calling for further investigation to address these constraints and enhance SIMU5G's capabilities in alignment with the evolving landscape of 5G technology

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Institution ZCAS University
Faculty / School School of Computing, Technology and Applied Sciences
Thesis Advisors Aaron Zimba derived
Degree Master of Science derived
Degree Level Masters derived
Year 2023
Language en_US
derived values were not in the repository's record; they were read automatically from the thesis PDF and may contain errors.
Source Recordhttps://dspace.zcas.edu.zm/handle/123456789/173