Femto Access Point Aggregating User Content Preferences
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Mobile broadband communication networks lack the ability to reliably transmit subscription-free content information tailored to user preferences within a household, as they do not always have information on preferred content types or applications for groups of users.
Innovation Solution
An access point entity collects user-specific content preferences and aggregates them to create a group-specific set of preferences, using user identifiers like IMSI to anonymize the data and classify content types, enabling targeted information distribution through various channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If user-specific content preferences are collected and aggregated to create group-specific preferences, then content delivery accuracy is improved, but device complexity increases
Solution Approach 1:
The access point entity acts as an intermediary between users and the content delivery system. It collects user-specific content preferences, aggregates them into group-specific preferences, and uses these aggregated preferences to receive and forward targeted content to the household. This intermediary function resolves the contradiction by centralizing the complexity of preference management at the access point while maintaining accurate content delivery to end users.
2Reliability
If user identifiers are discarded to anonymize data, then user privacy is protected, but user-specific tracking capability is reduced
Solution Approach 1:
The system extracts and discards user identifiers from the aggregated content preferences, removing the ability to trace preferences back to specific users. This extraction of identifying information protects user privacy while retaining the useful content preference data. The access point maintains group-specific preferences without associating them with individual user identities, thus resolving the contradiction between privacy protection and tracking capability.
3Measurement precision
If deep packet inspection is used to classify content preferences, then content classification accuracy is improved, but processing time increases
Solution Approach 1:
The access point entity performs deep packet inspection and content classification in advance, during the preference aggregation phase, before actual content delivery occurs. By classifying content preferences upfront and storing the aggregated group-specific preferences, the system avoids time-consuming classification operations during real-time content delivery, thus resolving the contradiction between classification accuracy and processing time.
Data Source
Figure 1
Figure 2
AI summary
An access point entity comprises a storage (101) for storing user-specific content preferences, the user-specific content preferences indicating contents associated with each user of a certain group of users, and a processor (103) for aggregating the user-specific content preferences to obtain a group-specific set of content preferences, the group-specific set of content preferences indicating group-specific contents associated with the certain group of users.