Please use this identifier to cite or link to this item: http://41.63.8.17:80/jspui/handle/123456789/254
Title: Modeling And Optimization of 5g Networks for Enhanced Connectivity
Authors: Mhongo, Brian
Keywords: harqErrorRateDl
Latency
Throughput
MMWave support
Scheduling support
Adaptive numerology
Network simulation
SIMU5G
5G optimization
Issue Date: 2023
Publisher: ZCAS University
Abstract: 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
URI: http://41.63.8.17:80/jspui/handle/123456789/254
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