LAN Agent for Cloud-Based Broadband Service Optimization
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Solution Overview
Problem
Current communication systems lack centralized analysis of performance data within local area networks (LANs), which limits the ability to optimize network performance and provide targeted services to users, resulting in suboptimal user satisfaction and device performance.
Innovation Solution
A downloadable agent is deployed within the LAN to collect and transmit performance data to a cloud-based server for comprehensive analysis, allowing for comparison with benchmark data and dynamic adjustment of service profiles to enhance user experience and network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a centralized analysis system is implemented to collect and analyze broadband performance data, then user satisfaction and service targeting improve, but system complexity and data processing requirements increase
Solution Approach 1:
The patent introduces an agent as an intermediary component that is downloaded to the user's communication device. This agent collects performance data locally and transmits it to the service provider's analysis system, thereby enabling centralized analysis without requiring direct complex interactions between the user device and the service provider's system. The agent acts as a mediator that simplifies the overall system architecture while enabling sophisticated service targeting.
Solution Approach 2:
The system is divided into distinct functional components: the agent residing on the user's communication device for data collection, the transmission mechanism for sending data, and the service provider's analysis system for processing. This segmentation allows each component to be optimized independently and reduces the complexity burden on any single element of the system.
2Reliability
If performance data is collected and analyzed centrally, then communication device performance optimization improves, but information transmission and processing overhead increase
Solution Approach 1:
The patent extracts only the necessary performance data from the user's communication device and transmits it to the centralized analysis system. Rather than transmitting all device data, the system selectively extracts relevant performance metrics such as broadband service performance, network conditions, and usage patterns. This extraction approach minimizes data transmission overhead while ensuring that the analysis system receives sufficient information for effective performance optimization.
Solution Approach 2:
The system implements a feedback mechanism where the analyzed performance data is used to generate recommendations and adjustments that are communicated back to the user's communication device. This feedback loop enables continuous optimization of device performance based on centralized analysis, ensuring that the reliability improvements are sustained and adapted to changing conditions.
3Productivity
If comprehensive performance monitoring is implemented, then network efficiency improves, but user privacy and data security concerns increase
Solution Approach 1:
The patent implements local quality by performing data processing and analysis at the user's communication device through the downloaded agent, rather than transmitting all raw data to the service provider. The agent can process and anonymize data locally before transmission, ensuring that only necessary aggregated information is sent to the centralized system. This approach maintains network efficiency through comprehensive monitoring while protecting user privacy by keeping sensitive information local.
Data Source
AI summary
Described is a method for controlling a broadband service, the method comprising: collecting user behavior, usage data, and physical layer data associated with the broadband service; analyzing the collected data to determine whether a different broadband service can be offered to a user compared to existing broadband service; and providing the user a targeted offer according to the analysis. Described is also a method for recommending a service profile, the method comprising: receiving broadband data from an agent, wherein the agent is executable on a computing device coupled to a LAN of a broadband subscriber; identifying a current service profile of the broadband subscriber; analyzing the received broadband data in view of the current service profile; determining a new service profile for the broadband subscriber according to the analyzed broadband data; and recommending the new service profile to the broadband subscriber and the broadband subscriber's service provider.