Joint Transmission-Rendering Scheduling for Chunked 3D Mesh Delivery in Mobile Augmented Reality Services

Abstract

Mobile augmented reality (AR) supports rich interactive applications by enabling high-fidelity 3D content to be displayed in real time on mobile devices. However, under timevarying wireless conditions and fluctuating device-side rendering contention, reconstructing such high-fidelity 3D content in a timely manner remains challenging for responsive AR services. To attack this challenge, existing studies have proposed adaptive transmission, 3D asset retrieval, caching, or rendering support mechanisms, but direct end-to-end optimization of the coupled transmission-rendering workflow remains unsolved. To overcome this limitation, we first model chunked 3D mesh delivery in wireless AR as a coupled transmission-rendering workflow, in which each chunk must be transmitted before it can be rendered locally. Under time-varying wireless conditions and fluctuating deviceside rendering contention, we further formulate the remainingchunk decision at each check instant as a deterministic twomachine flow-shop problem based on effective processing times. To solve this problem, we then develop a Dual-Adaptive Johnson (DA-Johnson) method which constructs effective transmission and rendering times from real-time feedback and adaptively updates the remaining-chunk order through Johnson-based sequencing. Simulation results show that DA-Johnson method reduces the end-to-end completion time, lowers pipeline stall time, and improves robustness under strong background rendering contention by up to 21% compared with representative baselines.