Network Optimization Controller for Cable TV Revenue
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing bandwidth optimization methods in content-based networks, such as broadcast switched architectures, fail to efficiently combine network resource availability with subscriber viewing profiles, leading to suboptimal revenue generation and requiring manual operator intervention and continuous vigilance to manage bandwidth effectively.
Innovation Solution
A method and apparatus that evaluate and optimize program viewing requests on a per-CPE basis in real-time, considering operational and business factors like bandwidth and revenue, using demographic data to select the most cost-effective delivery options, such as creating new program streams or switching to existing ones, to maximize network resource utilization and revenue potential.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual operator intervention is used to manage bandwidth, then bandwidth can be controlled, but operational efficiency decreases and latency increases
Solution Approach 1:
The system implements automated evaluation and selection of program delivery options based on real-time bandwidth availability and subscriber profiles. The apparatus automatically determines whether to create new program streams or switch existing subscribers to alternative streams without manual operator intervention, enabling self-service bandwidth management that improves operational efficiency while maintaining reliable control
Solution Approach 2:
The system continuously monitors bandwidth usage and subscriber viewing profiles, using this feedback to dynamically adjust program delivery decisions. This closed-loop feedback mechanism enables automated bandwidth management that responds in real-time to changing network conditions, eliminating manual intervention latency while maintaining reliable bandwidth control
2Device complexity
If static bandwidth planning is used, then network infrastructure requirements are reduced, but bandwidth utilization efficiency decreases
Solution Approach 1:
The system transitions from static bandwidth planning to dynamic bandwidth allocation by continuously evaluating bandwidth availability and subscriber profiles in real-time. The automated apparatus adjusts program stream creation and substitution decisions based on current network conditions, maximizing bandwidth utilization efficiency without requiring additional network infrastructure
Solution Approach 2:
The system changes the operational parameters of bandwidth management from fixed, pre-planned allocations to dynamic, real-time adjustments based on actual bandwidth availability and subscriber demand. This parameter change enables more efficient bandwidth utilization while maintaining the same network infrastructure capacity
3Productivity
If continuous monitoring of bandwidth is performed, then bandwidth optimization is improved, but system complexity increases
Solution Approach 1:
The automated apparatus performs multiple functions including bandwidth monitoring, subscriber profile analysis, program stream evaluation, and delivery decision-making within a single integrated system. This multi-functional approach achieves continuous bandwidth optimization without proportionally increasing system complexity, as one unified system handles all these tasks rather than separate systems for each function
Data Source
AI summary
Methods and apparatus for optimizing the distribution and delivery of multimedia or other content within a content-based network. In one embodiment, the network comprises a broadcast switched cable television network, which utilizes a Network optimization controller (NOC) that processes subscriber program viewing requests to identify options available to fulfill the request (including, e.g., the creation of one or more “microcasts” specifically targeting one or more users), and evaluate these options to determine one that optimizes network operation. The NOC performs these decisions by considering various parameters including network resource availability, type of CPE, subscriber's targeted advertisement profile, and business rules programmed by operator of the network.


