5G LATENCY PERFORMANCE ANALYSIS FOR VIDEO STREAMING APPLICATIONS

5G is the new global wireless standard network. Ultra-low, higher multi-Gbps peak data speeds, lower latency as well as enhanced reliability are among its key features. These features make it easier for 5G technology to be used in Real-time applications like industrial automation, autonomous driving, and immersive, low-latency experiences. However, achieving low latency requires an understanding of the complex interplay between various network parameters. In contrast to the existing studies, the novelty of this research lies in the systematic examination of the effect of 5G parameters on video streaming latency by means of a new end-to-end latency model. While prior works mainly study isolated network components, our focus integrates all aspects of numerology, network deployment strategies (i.e., MEC vs. centralized cloud), traffic load variations and link capacity allocation in one unified model. These values where inspected through simulation, and numerical analysis and the discussion of individual and combined effects on total latency. The results offer insights on the trade-offs of selecting different parameters, and provide the useful guidelines for 5G networks deployment to support latency-sensitive video streaming services. Filling the gap between theoretical latency modeling designs and the practical nuanced network deployment strategies, this study provides a toolbox to help a network operator and application developers understand how to take advantage of 5G technology in high-performance video delivery applications