Receptivity Driven Policy Management in Communications Networks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current network policies are operator-determined and lack user control over the type of content received and applied policies, limiting user receptivity and control over their communications experience.
Innovation Solution
Implementing a system that stores subscriber preference information to determine willingness to receive specific content types, generating and communicating policy and charging rules to enhance network policies based on user receptivity, allowing users to control the content they receive and the associated network policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If network policies are determined solely by operators, then network control and management are simplified, but user control over content reception and policy application is lost
Solution Approach 1:
The policy management system is segmented into multiple functional components: a policy repository storing base policies, a policy generation module that creates customized policies, a user preference module that captures user receptivity settings, and a policy application module that enforces policies at network edges. This segmentation allows user control without overwhelming system complexity.
Solution Approach 2:
User preferences and receptivity settings are captured and stored in advance before content delivery or policy application occurs. The system pre-generates customized policies based on these stored preferences, so that when content is delivered or policies are applied, the process is efficient and does not add real-time complexity.
2Adaptability or versatility
If customized policies are generated for each user based on preferences, then user receptivity and satisfaction are improved, but network policy management complexity increases
Solution Approach 1:
The system enables users to self-configure their own policy preferences and receptivity settings through user-friendly interfaces. Users can independently adjust their content reception preferences without requiring manual policy configuration by network operators, thereby achieving high adaptability while keeping the policy management system relatively simple.
Solution Approach 2:
The system manages complexity by changing parameters rather than restructuring policies. User preferences are stored as adjustable parameters (receptivity settings) that modify existing base policies. The policy generation module efficiently creates customized policies by adjusting these parameters rather than creating entirely new policy structures, reducing system complexity.
3Loss of information
If user preferences are stored and processed, then personalized content delivery is enabled, but information storage and processing requirements increase
Solution Approach 1:
The system extracts only the essential user preference information needed for policy customization, storing it separately in a dedicated user profile repository. This extracted preference data is then applied to generate customized policies, avoiding the need to store and process all possible user data, thereby reducing overall data storage requirements while maintaining personalization capability.
Data Source
AI summary
Methods, systems, and computer readable media for providing user receptivity driven policy in a communications network are disclosed. The method includes storing subscriber preference information indicating a willingness of a subscriber to receive a first type of content as well as policy and charging enhancement information associated with the subscriber preference information. Content is received from a content provider. Based on the subscriber preference information, it is determined whether the subscriber is willing to receive the content. In response to determining that the subscriber is willing to receive the content, the content is communicated to the subscriber and a policy and charging rules function (PCRF) is communicated with for temporarily enhancing a network or charging policy of the subscriber based on the policy charging enhancement information.