Dynamic Bandwidth Allocation for Video QoE
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Solution Overview
Problem
As mobile devices increasingly consume higher definition video content, existing communication networks face challenges in providing a satisfactory Quality of Experience (QoE) due to the growing demand for bandwidth, leading to inefficiencies in bandwidth allocation and potential wastage.
Innovation Solution
A system and method that determine appropriate bandwidth for video content transmission by analyzing trigger messages from content providers, generating policy control rules to allocate optimal bandwidth based on video content characteristics, and dynamically adjusting bandwidth allocation to prevent wastage by deallocating bandwidth when content is no longer being transmitted.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If bandwidth is allocated to mobile devices for video content consumption, then Quality of Experience is improved, but bandwidth wastage increases when content is no longer being transmitted
Solution Approach 1:
The system dynamically adjusts bandwidth allocation based on real-time monitoring of video content transmission status. Bandwidth is allocated when video content is being transmitted and automatically deallocated when transmission completes or pauses, making the bandwidth allocation flexible and adaptive to current needs rather than static
Solution Approach 2:
The system implements a feedback mechanism by monitoring trigger messages from content providers to detect when video content is being transmitted. This feedback loop enables the network to continuously adjust bandwidth allocation based on actual transmission status, ensuring bandwidth is available when needed and released when not needed to prevent wastage
2Adaptability or versatility
If bandwidth is allocated based on subscription levels, then service differentiation is achieved, but network efficiency decreases due to over-provisioning
Solution Approach 1:
The system changes the parameter for bandwidth allocation from static subscription-based levels to dynamic content-based requirements. By analyzing trigger messages and video content characteristics, the system adjusts bandwidth allocation parameters in real-time to match actual transmission needs, improving network efficiency while maintaining service differentiation through intelligent resource management
3Reliability
If bandwidth is pre-allocated for high definition video, then Quality of Experience is maintained, but bandwidth availability for other users decreases
Solution Approach 1:
The system performs preliminary actions by monitoring trigger messages from content providers to detect upcoming video transmissions. This allows the system to proactively allocate bandwidth before transmission begins, ensuring Quality of Experience is maintained from the start of video playback while allowing bandwidth to be released for other users when video is not being transmitted
Data Source
AI summary
Embodiments described herein are related to providing an improved quality of experience (QoE) for users consuming video content. An improved QoE may be provided to a user by allocating an appropriate bandwidth at which content is provided to the user. The appropriate bandwidth may be determined by an application function of the communications network used to provide the content to the user. The application function analyzes messages received from the content provider to determine characteristics of the content, determines the appropriate bandwidth accordingly, and generates a policy control rule to be enforced by the communications network when transmitting the content. Alternatively, a mobile device used to engage in the content determines the appropriate bandwidth at which video is to be transmitted thereto. The determined bandwidth is provided to the application function, which generates a policy control rule to be enforced by the communications network based on the determined bandwidth.


