Research on Network Performance Optimization of Cloud RAN Across Multiple Scenarios

This study focuses on Cloud RAN technology, exploring its application and significance in modern communication systems, especially in handling the increasing data traffic and connectivity demands. The research aims to optimize Cloud RAN’s performance through network slicing technology, enhancing its capability under various network loads and configurations. The study utilizes NS-3 simulation software and MATLAB’s Wireless Communication Toolbox to construct complex network environments and analyze the performance of Cloud RAN across different numbers of user devices and data transmission patterns. Through experimental simulations, the research compares network latency, throughput, and resource utilization with and without network slicing, effectively demonstrating the impact of network slicing on improving system performance. The results indicate that network slicing significantly improves communication latency and throughput, particularly in scenarios with high user density or during emergency communications. Additionally, Cloud RAN demonstrates its advantages in resource management and cost efficiency through dynamic resource allocation. The study shows that Cloud RAN and its network slicing technology not only enhance network performance but also provide scalable, flexible, and secure network architecture solutions for the development of future communications networks, such as 5G and beyond. These findings offer important insights into driving the evolution towards more agile and user-centric networks.