Radio Resource Manager for Adaptive Media Streaming
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In wireless networks, especially in LTE environments, the current resource management strategies for multimedia delivery, such as DASH (Dynamic Adaptive Streaming over HTTP), lead to suboptimal distribution of radio communication resources due to clients consistently requesting the highest quality media content, resulting in increased bandwidth demands and inefficient use of available resources.
Innovation Solution
A radio resource manager is implemented to dynamically assign communication resources based on the media presentation description, allowing for the selection of lower quality media versions during high strain situations, optimizing the trade-off between total bandwidth and quality measures, and adjusting resource allocation based on current network conditions and user priorities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If clients consistently request the highest quality media content, then media quality is improved, but bandwidth consumption increases and resource distribution becomes suboptimal
Solution Approach 1:
The system dynamically adjusts media quality based on current network conditions and resource availability. The radio resource manager continuously monitors bandwidth status and modifies the media representation description to reflect available resources, enabling adaptive quality adjustment rather than static high-quality requests
Solution Approach 2:
The invention changes the parameters of media delivery by modifying the media presentation description to indicate lower quality versions when resources are strained. This involves altering bandwidth parameters and quality metrics in the media description to match current network capabilities
2Ease of operation
If the highest quality media versions are always provided, then user satisfaction is improved, but the number of users that can be served simultaneously decreases
Solution Approach 1:
The system applies different quality levels to different users based on their individual resource allocations and network conditions. Instead of providing uniform high quality to all users, each user receives media quality appropriate to their specific situation, optimizing overall system capacity
Solution Approach 2:
The system provides partial quality action by delivering media at the highest quality that current resources can support, rather than always providing excessive high quality. This allows resources to be distributed across more users while maintaining acceptable quality levels
3Productivity
If radio resources are allocated based solely on channel situation and user profiles, then resource allocation efficiency is improved, but adaptation to actual media delivery needs is reduced
Solution Approach 1:
The system implements feedback by having the radio resource manager inspect the media presentation description and use this information to adjust resource allocation. The media delivery status and requirements feed back into the resource management decision-making process, creating a closed-loop system
Solution Approach 2:
The radio resource manager performs multiple functions: it manages radio resources based on channel conditions, considers user profiles, and now also inspects media presentation descriptions to adapt to specific media delivery requirements. This multi-functionality enhances both efficiency and adaptability
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Resource manager inspects a media request from a client to a server,requesting a wanted version of a media content, and decides to forward, modify or intercept the media request. A media presentation description describes versions of differing bandwidth of the media content and is sent from the server to the client.