Delay-Based Content Shaping and Routing for Adaptive Streaming
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Solution Overview
Problem
Current telecommunication systems face challenges in managing bandwidth efficiently for content streaming, leading to high data consumption and user experience degradation, especially in regions with inadequate communication networks, and conventional solutions often require infrastructure build-out or user behavior changes.
Innovation Solution
The Content Optimization and Routing Architecture (CORA) technology employs a mobile application and cloud-based service stack to manage content data at the application and presentation layers, using strategies like lossy transcoding, compression, and adaptive bit rate control to reduce bandwidth requirements while maintaining user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If content is streamed at high bit rate to maintain user experience, then quality of service is improved, but bandwidth consumption increases
Solution Approach 1:
The system dynamically adjusts the bit rate of streamed content based on real-time network conditions and device capabilities. The service stack monitors bandwidth availability and automatically modifies streaming parameters to optimize the balance between quality and bandwidth consumption, rather than using a fixed high bit rate approach.
Solution Approach 2:
The invention changes key parameters such as bit rate, resolution, and codec selection based on network conditions and device characteristics. By adjusting these parameters dynamically, the system maintains acceptable user experience while significantly reducing bandwidth consumption compared to always using high bit rate streaming.
2Productivity
If network infrastructure is expanded to increase bandwidth capacity, then data transmission capability is improved, but infrastructure cost and complexity increase
Solution Approach 1:
The invention replaces physical infrastructure expansion (mechanical/system build-out) with software-based content optimization techniques. Instead of building more network capacity, the system uses service stack components to process and optimize content delivery, substituting infrastructure investment with intelligent software management.
Solution Approach 2:
The service stack acts as an intermediary between content sources and end devices, optimizing content before delivery. This intermediary layer processes content to reduce bandwidth requirements without requiring changes to the underlying network infrastructure or end-user devices.
3Productivity
If network management tools are used to control bandwidth allocation, then bandwidth management is improved, but user freedom and legal issues arise
Solution Approach 1:
The system enables devices to self-adjust their content consumption based on embedded intelligence in the service stack. Rather than imposing top-down network management controls that restrict user freedom, the optimization occurs through self-service mechanisms where the content delivery system automatically adapts to network conditions without user intervention or restrictive management policies.
4Quantity of substance
If content is optimized for lower bandwidth devices, then bandwidth consumption is reduced, but user experience quality may deteriorate
Solution Approach 1:
The system applies different optimization levels to different content elements and delivery scenarios based on specific device characteristics and network conditions. Rather than uniformly reducing quality for all low-bandwidth scenarios, the service stack selectively optimizes content while preserving quality where possible, creating locally adapted solutions for each delivery context.
Data Source
AI summary
Technologies are shown for content data transmission bandwidth management involving receiving content data for a mobile device, transmitting the content data at an initial bit rate, and introducing a delay in the communication channel to activate an adaptive bit rate (ABR) capability in the mobile device. The technologies can include receiving feedback pertaining to content data consumption in the mobile device and adjusting the delay in the communication channel to increase or decrease the bit rate of the ABR capability responsive to the feedback. The technologies can include determining an initial resolution of the content data during a trial period during transmitting content data to the mobile device and adjusting the delay in the communication channel to increase or decrease the bit rate of the ABR capability in the mobile device to a target bit rate.


