About This Session
My proposed presentation provides a technical overview of a 5G-optimized Android system architecture for low-latency applications. It focuses on the gap between the promised capabilities of 5G and the limitations of Android’s legacy 4G-era network stack, which still creates latency, packet-processing, and resource-allocation bottlenecks.
The presentation explains the main challenges affecting Android performance under 5G, including memory-copy overhead, lack of adaptive QoS prioritization, weak edge-computing integration, and insufficient real-time traffic management. It then introduces a proposed architecture built around zero-copy data paths, kernel-bypass processing, smart traffic management, application profiling, and edge-computing support to improve responsiveness for real-time workloads.
It also highlights the expected impact of this architecture on applications such as cloud gaming, AR/VR, industrial IoT, and other mission-critical mobile systems, with reported improvements in latency reduction, throughput, QoS, and overall system efficiency. In short, the presentation shows how Android can be redesigned to better support current 5G workloads while creating a scalable foundation for future 6G and AI-native mobile systems.