Video Usage Estimation and Resource Planning Without Bandwidth Limits
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Solution Overview
Problem
Estimating video data usage without bandwidth limits is challenging for ISPs, as conventional methods fail to account for network and user behavior changes, leading to inefficient network management and user experience issues.
Innovation Solution
A system and method for adjusting bandwidth allocation from a limited to an unlimited state, measuring metrics, and computing additional metrics to allocate network resources effectively, incorporating insights into customer video consumption behaviors and network traffic management.
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, but network capacity and management complexity worsen
Solution Approach 1:
The patent applies preliminary action by conducting controlled field trials before full deployment. ISPs first implement unlimited video bandwidth in specific geographic regions or for selected customer groups, measure the actual data consumption patterns and network impact, then use these measurements to inform broader rollout decisions. This approach allows network operators to prepare infrastructure and management systems in advance based on real-world data rather than theoretical projections.
Solution Approach 2:
The patent applies parameter changes by transitioning from fixed bandwidth allocation to dynamic bandwidth management. Instead of imposing hard bandwidth caps, the system adjusts video streaming quality, resolution, and bitrate in real-time based on network conditions, user behavior patterns, and device capabilities. This allows the network to accommodate increased video consumption while maintaining performance through adaptive parameter adjustment rather than static limits.
2Device complexity
If conventional measurement methods are used to estimate video traffic increase, then measurement simplicity is maintained, but measurement precision deteriorates due to inability to account for behavior changes
Solution Approach 1:
The patent applies feedback by implementing continuous monitoring systems that track actual video consumption patterns, user behavior changes, and network performance metrics. These measurements feed back into predictive models that are continuously refined to improve traffic increase estimates. The system learns from real-world data how users actually respond to bandwidth limit removal, incorporating these observations into more accurate forecasting models for future network planning.
Solution Approach 2:
The patent applies universality by creating a multi-functional measurement framework that simultaneously serves multiple purposes: it monitors current traffic patterns, predicts future consumption, identifies user behavior changes, and informs both technical network capacity planning and commercial pricing strategies. This unified measurement system replaces multiple separate analysis tools with a single comprehensive platform that addresses diverse informational needs.
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.