Adaptive Cooperative Streaming of Holographic Video Over Wireless Networks: A Proximal Policy Optimization Solution

• DOI: 10.48550/arxiv.2406.08806
• Publication Date: 2024-06-13
• Authors: Wanli Wen; Jiping Yan; Yulu Zhang; Zhen Huang; Liang Liang; Yunjian Jia
• Keywords: Video Streaming

Adapting holographic video streaming to fluctuating wireless channels is essential maintain consistent and satisfactory Quality of Experience (QoE) for users, which, however, a challenging task due the dynamic uncertain characteristics networks. To address this issue, we propose cooperative framework designed generic network in which multiple access points can cooperatively transmit with different bitrates users. Additionally, model novel QoE metric tailored specifically streaming, effectively encapsulate nuances quality, quality fluctuations, rebuffering occurrences simultaneously. Furthermore, formulate formidable maximization problem, non-convex mixed integer nonlinear programming problem. Using proximal policy optimization (PPO), new class reinforcement learning algorithms, devise joint beamforming bitrate control scheme, be wisely adapted fluctuations channel. The numerical results demonstrate superiority proposed scheme over representative baselines.