Subscriber Session Resource Allocation in Wireless Networks
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Solution Overview
Problem
Wireless access gateway resources are often wasted on inactive or disinterested user equipment, leading to denial of service for genuine users attempting to access a wireless local area network, due to the lack of effective management and allocation strategies in large and complex wireless local area networks.
Innovation Solution
An apparatus and method for determining subscriber session policies and performing resource allocation based on current subscriber session analytic data, which includes data indicative of session conditions, to manage access points and allocate resources efficiently, such as by setting session management parameters like timeout, quality of service, and whitelisting/blacklisting, to optimize resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If wireless access gateway resources are allocated to all connected user equipment, then network coverage and accessibility are improved, but resource wastage increases when users are inactive or disinterested
Solution Approach 1:
The patent implements dynamic resource allocation by continuously monitoring subscriber session analytic data (such as user activity status, session duration, and engagement metrics) and adjusting resource allocation in real-time. When users become inactive or disinterested, the system dynamically retracts resources, thereby preventing resource wastage while maintaining network accessibility for active users.
Solution Approach 2:
The system changes key parameters such as session timeout values, quality of service levels, and resource allocation thresholds based on monitored analytic data. By adjusting these parameters dynamically, the system optimizes resource utilization - maintaining high resource allocation for active users while reducing or retracting resources for inactive users, thus resolving the contradiction between accessibility and resource wastage.
2Reliability
If resource allocation is increased for all subscriber sessions, then service availability is improved, but genuine users may be denied access due to resource exhaustion from inactive sessions
Solution Approach 1:
The patent employs feedback mechanisms where subscriber session analytic data is continuously collected and fed back to the resource allocation system. This feedback loop enables the system to identify inactive or disinterested users and adjust resource allocation accordingly, ensuring that resources are available for genuine users while preventing resource exhaustion from wasteful allocations to inactive sessions.
Solution Approach 2:
The system extracts or isolates inactive subscriber sessions from the active resource pool by identifying them through analytic data monitoring. By separating these inactive sessions and retracting their resource allocations, the system prevents resource exhaustion while maintaining service availability for genuine users, thus resolving the contradiction between reliability and access efficiency.
3Device complexity
If simple connection management is used, then system complexity is reduced, but effective management of inactive users and resource allocation cannot be achieved
Solution Approach 1:
The patent introduces an intermediary component - a resource allocation system that acts as a mediator between simple connection management and complex resource optimization needs. This intermediary layer monitors subscriber session analytic data and automatically makes resource allocation decisions, achieving effective management of inactive users without requiring complex manual intervention or overwhelming system complexity.
Solution Approach 2:
The system implements self-service mechanisms where the resource allocation automatically adjusts based on monitored analytic data without requiring external intervention. The system autonomously identifies inactive users, retracts their resources, and reallocates them to active users, achieving high resource allocation efficiency while maintaining relatively simple system architecture through automated self-management.
Data Source
AI summary
A method is provided in one example and includes determining at least one subscriber session policy, determining at least one current subscriber session analytic data, the current subscriber session analytic data comprising subscriber session analytic data that is indicative of at least one current subscriber session condition, and performing resource allocation based, at least in part, on the subscriber session policy and the current subscriber session analytic data.