Hybrid Feedback-Guided Learning Approach Targets Wireless Panoramic Scene Delivery
A new arXiv preprint proposes a hybrid feedback-guided optimal learning method for delivering interactive panoramic content over wireless networks. The work addresses the tight latency, frame rate, and synchronization demands of immersive VR and AR applications, where edge servers must render scenes and stream them to users. It frames the problem as jointly optimizing rendering and transmission decisions under feedback from the wireless channel and viewer interaction.