QoE-Driven Coupled Uplink and Downlink Rate Adaptation for 360-Degree Video Live Streaming
Autor: | Wei Sun, Jie Li, Qiyue Li, Ransheng Feng, Zhi Liu |
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Rok vydání: | 2020 |
Předmět: |
FOS: Computer and information sciences
Degree (graph theory) Computer science Real-time computing Video server 020206 networking & telecommunications 02 engineering and technology Virtual reality Live streaming Multimedia (cs.MM) Computer Science Applications Modeling and Simulation Telecommunications link 0202 electrical engineering electronic engineering information engineering Bandwidth (computing) Quality of experience Electrical and Electronic Engineering Computer Science - Multimedia |
Zdroj: | IEEE Communications Letters. 24:863-867 |
ISSN: | 2373-7891 1089-7798 |
DOI: | 10.1109/lcomm.2020.2966193 |
Popis: | 360-degree video provides an immersive 360-degree viewing experience and has been widely used in many areas. The 360-degree video live streaming systems involve capturing, compression, uplink (camera to video server) and downlink (video server to user) transmissions. However, few studies have jointly investigated such complex systems, especially the rate adaptation for the coupled uplink and downlink in the 360-degree video streaming under limited bandwidth constraints. In this letter, we propose a quality of experience (QoE)-driven 360-degree video live streaming system, in which a video server performs rate adaptation based on the uplink and downlink bandwidths and information concerning each user's real-time field-of-view (FOV). We formulate it as a nonlinear integer programming problem and propose an algorithm, which combines the Karush-Kuhn-Tucker (KKT) condition and branch and bound method, to solve it. The numerical results show that the proposed optimization model can improve users' QoE significantly in comparison with other baseline schemes. |
Databáze: | OpenAIRE |
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