Video Data Usage Estimation for Unlimited Bandwidth Allocation
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Solution Overview
Problem
Estimating video data usage without bandwidth limits is challenging for ISPs, as conventional methods fail to accurately predict data volume increases and manage network resources effectively when video bandwidth limits are removed, impacting network performance and user experience.
Innovation Solution
A system and method for adjusting bandwidth allocation from a limited to no bandwidth limit, measuring and computing metrics for communication devices, and allocating network resources based on these metrics to manage video traffic effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video bandwidth limits are removed to improve user experience and network performance, then video data usage increases significantly, but network capacity becomes overloaded and data management becomes difficult
Solution Approach 1:
The patent performs preliminary actions by actively testing video content services and measuring data rate increases before full deployment. It conducts controlled experiments with selected devices to predict future data usage patterns, allowing the network to prepare capacity and pricing structures in advance rather than reacting to overload after it occurs.
Solution Approach 2:
The patent changes key parameters including bandwidth allocation (from limited to unlimited), video resolution (adaptive based on device), and pricing models (unlimited plans with potential overage charges). These parameter changes allow the system to transition from a constrained network to an expanded capacity network while maintaining manageability through dynamic adjustment.
2Measurement precision
If conventional estimation methods are used to predict video data usage increase, then measurement simplicity is maintained, but estimation accuracy deteriorates
Solution Approach 1:
The patent implements feedback mechanisms by continuously measuring actual video data usage from selected devices during testing phases, comparing these measurements against predictions, and using this feedback to refine estimation models. This closed-loop approach improves accuracy progressively while maintaining a manageable measurement system through iterative learning rather than complex upfront modeling.
Solution Approach 2:
The patent applies partial action by testing with a selected subset of devices rather than all devices simultaneously. This partial measurement approach provides sufficient data for accurate estimation without the complexity of measuring every device, allowing the system to achieve good measurement precision with reduced system complexity.
3Quantity of substance
If bandwidth limits are imposed on mobile devices with small screens to prevent excessive data consumption, then network overload is reduced, but user experience and video quality deteriorate
Solution Approach 1:
The patent applies local quality by implementing device-specific bandwidth allocation based on screen size and capabilities. Instead of uniform bandwidth limits across all devices, the system tailors video resolution and data allocation to each device type (e.g., 4-inch mobile devices receive appropriate resolution content), preventing excessive data consumption on small screens while providing optimal user experience on each device category.
Solution Approach 2:
The patent introduces dynamics through adaptive bandwidth management that adjusts video quality and data allocation in real-time based on network conditions, device capabilities, and user behavior patterns. This dynamic approach allows the system to optimize between data consumption control and user experience rather than relying on static bandwidth limits.
4Adaptability or versatility
If video bandwidth limits are removed to meet customer demand for premium video experience, then user satisfaction increases, but network capacity requirements and costs increase
Solution Approach 1:
The patent applies universality by creating a multi-functional bandwidth management system that serves multiple purposes: it provides unlimited video access to meet customer demand for premium experience, simultaneously monitors and measures data usage patterns, predicts future capacity requirements, and enables flexible pricing strategies. This single system handles both user service delivery and network resource management functions.
Solution Approach 2:
The patent introduces an intermediary measurement and prediction system that sits between the unlimited video service and the physical network capacity. This intermediary layer actively tests and measures actual data usage, providing buffered information that helps plan and allocate network resources more efficiently, thereby reducing the shock to network capacity when bandwidth limits are removed.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, adjusting bandwidth allocated for a first group of communication devices communicatively coupled to a first communication network from a bandwidth limited allocation to a no bandwidth limited allocation, and measuring a first group of metrics associated with the first group of communication devices associated with the first communication network. Further embodiments include computing a second group of metrics associated with a second group of communication devices communicatively coupled to a second communication network according to the first group of metrics, the second group of communication devices have the no bandwidth limited allocation, and allocating a first group of network resources for the second group of communication devices according to the second group of metrics. Other embodiments are disclosed.