Optimal Resource Allocation for Loss-Tolerant Multicast Video Streaming

Area of Science:

• Computer Science
• Electrical Engineering
• Telecommunications

Background:

• Video streaming, particularly live events, generates substantial network traffic, often causing congestion.
• Multicast is efficient for delivering content to many users simultaneously but is limited by users with the weakest network connections.
• Existing multicast systems are vulnerable to outages for users with poor channel conditions.

Purpose of the Study:

• To design a loss-tolerant video multicasting system that mitigates congestion in live streaming.
• To leverage the inherent packet loss tolerance of video streams to enhance multicast performance.
• To reduce the system's dependency on users with the weakest network channels.

Main Methods:

• Developed a resource allocation strategy for multimedia broadcast multicast services (MBMS).
• Transformed the resource allocation problem into stabilizing a virtual queuing system.
• Proposed and evaluated two novel loss-optimal policies using realistic video traffic data.

Main Results:

• The proposed policies effectively managed resource allocation in MBMS systems.
• Numerical examples demonstrated that users experienced packet loss below their tolerable limits.
• Achieved significantly lower peak Signal-to-Noise Ratio (SNR) degradation compared to existing schemes.

Conclusions:

• The designed loss-tolerant system enhances video multicasting efficiency and user experience.
• The virtual queuing system approach provides an effective framework for resource allocation.
• The proposed policies offer a robust solution for live streaming congestion and quality management.