Real-time Extended Reality Video Transmission Optimization Based on Frame-priority Scheduling
<|reference_start|>Real-time Extended Reality Video Transmission Optimization Based on Frame-priority Scheduling: Extended reality (XR) is one of the most important applications of 5G. For real-time XR video transmission in 5G networks, a low latency and high data rate are required. In this paper, we propose a resource allocation scheme based on frame-priority scheduling to meet these requirements. The optimization problem is modelled as a frame-priority-based radio resource scheduling problem to improve transmission quality. We propose a scheduling framework based on multi-step Deep Q-network (MS-DQN) and design a neural network model based on convolutional neural network (CNN). Simulation results show that the scheduling framework based on frame-priority and MS-DQN can improve transmission quality by 49.9%-80.2%.<|reference_end|>
@article{pan2024real-time,
    title={Real-time Extended Reality Video Transmission Optimization Based on
  Frame-priority Scheduling},
    author={Guangjin Pan, Shugong Xu, Shunqing Zhang, Xiaojing Chen, and Yanzan
  Sun},
    journal={arXiv preprint arXiv:2402.01180},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.01180},
    primaryClass={cs.NI cs.MM eess.SP}
}