Dynamic Video Compression for Triple-Play Network Bandwidth Management
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Solution Overview
Problem
Triple play networks face challenges in dynamically managing and compressing video streams to efficiently provide video, data, and voice services to end-user devices, especially with increasing bandwidth demands and varying user requirements.
Innovation Solution
A method and system that assign multicast and unicast addresses to end-user devices based on bandwidth constraints and quality of service rules, allowing for dynamic compression of video streams and allocation of bandwidth, while ensuring quality of service levels are maintained through a video-aware unit and data-aware unit coordination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video streams are transmitted without compression to multiple end-user devices, then video quality is maintained, but network bandwidth consumption increases and network congestion occurs
Solution Approach 1:
The patent creates compressed copies of video streams at the video headend office before distribution. Instead of transmitting full-quality video to all users, the system generates compressed versions that can be efficiently transmitted over the access network while maintaining acceptable video quality for end users.
Solution Approach 2:
The patent dynamically changes video stream parameters (compression ratios, resolution, bit rate) based on network conditions, user location, and service type. The video headend office adjusts these parameters to optimize the balance between video quality and bandwidth consumption for different scenarios.
2Adaptability or versatility
If the network is designed to support maximal bandwidth consumption scenarios, then all user demands can be met, but network infrastructure cost and complexity increase
Solution Approach 1:
The patent implements dynamic bandwidth allocation and compression ratio adjustment based on real-time network conditions and user demands. The system can adaptively change video stream parameters and allocate network resources dynamically, allowing the network to handle varying loads without requiring infrastructure designed for peak maximal scenarios.
Solution Approach 2:
The patent applies different quality levels and compression ratios to different video streams and user groups based on their specific requirements and network conditions. Instead of providing uniform high quality to all users, the system optimizes video quality locally for each user or user group, reducing overall bandwidth consumption while maintaining acceptable quality.
3Productivity
If video streams are compressed to reduce bandwidth consumption, then network efficiency improves, but video quality deteriorates
Solution Approach 1:
The patent dynamically adjusts compression parameters (ratio, resolution, bit rate) based on network conditions, user location, and service type. The video headend office can change these parameters in real-time to optimize the balance between network efficiency and video quality, applying different compression levels for different scenarios.
Solution Approach 2:
The system implements dynamic compression that adapts to changing network conditions and user demands. Instead of using fixed compression ratios, the patent dynamically adjusts compression parameters to maintain video quality while optimizing network efficiency under varying conditions.
4Quantity of substance
If multicast addresses are used for video distribution, then bandwidth consumption is reduced, but flexibility in addressing individual user quality requirements is limited
Solution Approach 1:
The patent segments the video distribution system into multiple components: video headend office for compression and encoding, access network for transmission, and residential gateways for delivery. This segmentation allows different parts of the system to handle different aspects of video delivery, enabling both efficient multicast distribution and user-specific quality control.
Solution Approach 2:
The video headend office acts as an intermediary between the video source and end users. It performs video compression, encoding, and parameter adjustment before distribution, allowing centralized control of video quality and compression parameters while still enabling efficient multicast delivery through the access network.
Data Source
AI summary
Method and system for providing data, video and voice to a group of end user devices includes receiving end user device group quality of service rules and access network node bandwidth constraints; assigning multicast addresses and unicast addresses to end user devices of the group in response to the access node bandwidth constraints; and providing, in response to the end user device group quality of service rules and requests to receive services from the residential gateways, data, video and voice utilizing the assigned multicast addresses and unicast addresses. Further methods include receiving location information representative of distances between multiple end user devices and access nodes; defining end user bandwidth constraints in response to the location information and in response to access node bandwidth constraints; and providing, in response to the end user bandwidth constraints and to requests to receive services from the end user devices, data, compressed video and voice.