User-centric Service Provision for Edge-assisted Mobile AR: A Digital Twin-based Approach
<|reference_start|>User-centric Service Provision for Edge-assisted Mobile AR: A Digital Twin-based Approach: Future 6G networks are envisioned to support mobile augmented reality (MAR) applications and provide customized immersive experiences for users via advanced service provision. In this paper, we investigate user-centric service provision for edge-assisted MAR to support the timely camera frame uploading of an MAR device by optimizing the spectrum resource reservation. To address the challenge of non-stationary data traffic due to uncertain user movement and the complex camera frame uploading mechanism, we develop a digital twin (DT)-based data-driven approach to user-centric service provision. Specifically, we first establish a hierarchical data model with well-defined data attributes to characterize the impact of the camera frame uploading mechanism on the user-specific data traffic. We then design an easy-to-use algorithm to adapt the data attributes used in traffic modeling to the non-stationary data traffic. We also derive a closed-form service provision solution tailored to data-driven traffic modeling with the consideration of potential modeling inaccuracies. Trace-driven simulation results demonstrate that our DT-based approach for user-centric service provision outperforms conventional approaches in terms of adaptivity and robustness.<|reference_end|>
@article{zhou2024user-centric,
    title={User-centric Service Provision for Edge-assisted Mobile AR: A Digital
  Twin-based Approach},
    author={Conghao Zhou, Jie Gao, Yixiang Liu, Shisheng Hu, Nan Cheng, Xuemin
  Shen},
    journal={arXiv preprint arXiv:2409.00324},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.00324},
    primaryClass={cs.NI}
}