Active Video Bandwidth Management via Dynamic Bitrate Adjustment
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Solution Overview
Problem
Current SDV systems face challenges in efficiently managing bandwidth, particularly due to increasing demand for high-speed data and VOD services, leading to pressure on available bandwidth resources.
Innovation Solution
Implementing an active bandwidth management system that dynamically adjusts bitrate profiles by reallocating existing SDV sessions to low bitrate variants when bandwidth thresholds are met, using a dynamic tier approach with multiple bitrate profiles and scheduling-based methods to optimize QAM utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed narrowcast bandwidth is allocated to carry content in SDV systems, then peak bandwidth requirements are met during peak usage times, but bandwidth availability decreases for high-speed data services and VOD content services
Solution Approach 1:
The patent implements dynamic bitrate adjustment where the system transitions from fixed rate-capped video streams to variable bitrate streams based on real-time bandwidth availability. The rate shaping product dynamically modifies the bitrate of video content according to current network conditions, allowing the system to adapt between guaranteed peak capacity and efficient bandwidth utilization.
Solution Approach 2:
The system changes the bitrate parameter of video content dynamically. Instead of using a fixed rate cap (e.g., 3.75 Mbps for SD, 14 Mbps for HD), the system adjusts the actual transmitted bitrate based on available narrowcast bandwidth, allowing optimization of bandwidth allocation between video services and other data services.
2Productivity
If rate capping is performed by a rate shaping product, then variable bitrate content is converted to fixed rate for efficient QAM utilization, but bandwidth cannot be dynamically allocated to other services
Solution Approach 1:
The rate shaping product is enhanced with dynamic capabilities that allow it to adjust bitrate in real-time based on network conditions. This enables the system to allocate bandwidth flexibly between video content and other services, transitioning from a static rate-capping approach to a dynamic bandwidth management system.
Solution Approach 2:
The system incorporates feedback mechanisms where the rate shaping product monitors available narrowcast bandwidth and adjusts video bitrate accordingly. This feedback loop enables dynamic bandwidth allocation that responds to real-time network conditions, allowing optimization for both video quality and overall system efficiency.
Data Source
AI summary
Methods and systems to manage narrowcast bandwidth are disclosed. In one embodiment, the method includes receiving a channel tune request from a set top box associated with a service group, and determining whether current total bandwidth use by the service group is at or above a first predetermined threshold. The method additionally includes multicasting a high bitrate version of a requested channel to the set top boxes of the service group when the current total bandwidth use by the service group is below the first predetermined threshold. The requested channel corresponds to the received channel tune request. The method further includes multicasting a low bitrate version of the requested channel to the set top boxes of the service group when the current total bandwidth use by the service group is at or above the first predetermined threshold.