Extended Reality (XR) is one of the most important 5G/6G media applications that will fundamentally transform human interactions. However, ensuring low latency, high data rate, and reliability to support XR services poses significant challenges. This letter presents a novel AI-assisted service provisioning scheme that leverages predicted frames for processing rather than relying solely on actual frames. This method virtually increases the network delay budget and consequently improves service provisioning, albeit at the expense of minor prediction errors. The proposed scheme is validated by extensive simulations demonstrating a multi-fold increase in supported XR users and also provides crucial network design insights.

翻译：扩展现实（XR）是5G/6G中最关键的媒体应用之一，它将从根本上改变人类交互方式。然而，确保低延迟、高数据速率和可靠性以支持XR服务仍面临巨大挑战。本文提出了一种新颖的AI辅助服务提供方案，该方案利用预测帧而非仅依赖实际帧进行数据处理。此方法实质性地增加了网络延迟预算，从而改进服务提供能力，尽管会引入轻微预测误差。通过大量仿真验证，所提方案可使支持的XR用户数量提升数倍，并为网络设计提供重要见解。