Deadline and Priority Constrained Immersive Video Streaming Transmission Scheduling

TL;DR

This paper introduces a scheduling scheme for immersive video streaming that guarantees high-priority block delivery within deadlines, improving user experience by 12-31% over existing models.

Contribution

It proposes a deadline and priority-aware scheduling method with an accurate bandwidth prediction model tailored for immersive video streaming.

Findings

Achieves 12-31% QoE improvement

Effectively prioritizes media elements based on user sensitivity

Demonstrates superiority through trace-driven simulations

Abstract

Deadline-aware transmission scheduling in immersive video streaming is crucial. The objective is to guarantee that at least a certain block in multi-links is fully delivered within their deadlines, which is referred to as delivery ratio. Compared with existing models that focus on maximizing throughput and ultra-low latency, which makes bandwidth resource allocation and user satisfaction locally optimized, immersive video streaming needs to guarantee more high-priority block delivery within personalized deadlines. In this paper, we propose a deadline and priority-constrained immersive video streaming transmission scheduling scheme. It builds an accurate bandwidth prediction model that can sensitively assist scheduling decisions. It divides video streaming into various media elements and performs scheduling based on the user's personalized latency sensitivity thresholds and the media element's priority. We evaluate our scheme via trace-driven simulations. Compared with existing models, the results further demonstrate the superiority of our scheme with 12{\%}-31{\%} gains in quality of experience (QoE).