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5G-Optimized Android System Architecture for Low-Latency Applications: A Technical Analysis

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  • Riddhi Patel

    (New York Institute of Technology, USA)

Abstract

This article presents a novel approach to optimizing Android's system architecture for 5G networks, focusing on low-latency applications such as cloud gaming, augmented reality (AR), and virtual reality (VR). We propose a dynamic network traffic management system that intelligently allocates bandwidth and prioritizes real-time data processing. The article introduces architectural modifications to the Android network stack, including zero-copy networking paths, enhanced packet processing pipelines, and intelligent traffic classification mechanisms. Our implementation leverages advanced edge computing capabilities and protocol optimizations specifically designed for 5G networks, incorporating machine learning-based traffic pattern recognition and adaptive resource allocation. The results demonstrate significant improvements in network utilization, latency reduction, and overall system performance across various real-world applications, particularly in scenarios demanding real-time responsiveness.

Suggested Citation

  • Riddhi Patel, 2025. "5G-Optimized Android System Architecture for Low-Latency Applications: A Technical Analysis," Journal of Computer Science and Technology Studies, Al-Kindi Center for Research and Development, vol. 7(6), pages 385-390, June.
    • Handle: RePEc:alk:jcsts0:v:7:y:2025:i:6:id:9984
    DOI: 10.32996/jcsts.2025.7.6.45
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