  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.
