MODELING AND OPTIMIZATION OF 5G NETWORKS FOR ENHANCED CONNECTIVITY

dc.contributor.authorBRIAN MHONGO
dc.date.accessioned2025-12-03T09:04:05Z
dc.date.issued2023-12-31
dc.descriptionDISSERTATIONS
dc.description.abstractIn 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
dc.description.sponsorshipZCAS UNIVERSITY
dc.identifier.citationHARVARD REFRENCING
dc.identifier.urihttp://dspace.zcas.edu.zm/handle/123456789/173
dc.language.isoen_US
dc.subjectSIMU5G
dc.subject5G optimization
dc.subjectnetwork simulation
dc.subjectadaptive numerology
dc.subjectscheduling support
dc.subjectmmWave support
dc.subjectthroughput
dc.subjectlatency
dc.subjectharqErrorRateDl.
dc.titleMODELING AND OPTIMIZATION OF 5G NETWORKS FOR ENHANCED CONNECTIVITY
dc.typeThesis

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