Cloud virtual reality (VR) has emerged as a promising technology, offering users a highly immersive and easily accessible experience. However, the current 5G radio access network faces challenges in accommodating the bursty traffic generated by multiple cloudVR flows simultaneously, leading to congestion at the 5G base station and increased delays. In this research, we present a comprehensive quantitative analysis that highlights the underlying causes for the poor delay performance of cloudVR flows within the existing 5G protocol stack and network. To address these issues, we propose a novel cross-layer informationassisted congestion control mechanism deployed in the 5G edge network. Experiment results show that our mechanism enhances the number of concurrent flows meeting delay standards by 1.5x to 2.5x, while maintaining a smooth network load. These findings underscore the potential of leveraging 5G edge nodes as a valuable resource to effectively meet the anticipated demands of future services.

翻译：云端虚拟现实（VR）已成为一种前景广阔的技术，为用户提供高度沉浸且易于访问的体验。然而，当前的5G无线接入网络在同时承载多条云VR流产生的突发流量时面临挑战，导致5G基站拥塞及延迟增加。本研究通过全面的定量分析，揭示了现有5G协议栈与网络中云VR流延迟性能不佳的根本原因。针对这些问题，我们提出了一种部署于5G边缘网络的新型跨层信息辅助拥塞控制机制。实验结果表明，该机制在保持网络负载平稳的同时，将满足延迟标准的并发流数量提升了1.5至2.5倍。这些发现凸显了利用5G边缘节点作为宝贵资源以有效满足未来服务预期需求的潜力。