Gateway Selection Based on User Behavior Profiling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current networking architectures face challenges in optimally supporting nomadic and mobile users due to inefficient gateway selection, which leads to sub-optimal routing and increased bandwidth usage, as they are designed assuming highly mobile users, failing to adapt to varying user behaviors and bandwidth consumption patterns.
Innovation Solution
A decision function coupled with a profiling function evaluates end-user behavior to determine the optimal point of attachment, either as a mobile or nomadic user, triggering the selection of appropriate gateway intelligence, either as a distributed or centralized point, using a database query and RADIUS messaging for profile-based gateway selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If networking architectures assume highly mobile users and use centralized gateway selection, then mobile user support is improved, but nomadic user efficiency deteriorates and bandwidth consumption increases
Solution Approach 1:
The system dynamically selects between centralized and distributed gateway intelligence based on user behavior profiling. Mobile users are routed through centralized gateways for optimal mobility support, while nomadic users are routed through distributed gateways for efficient local access, making the architecture adaptive rather than static
Solution Approach 2:
Different gateway selection strategies are applied to different user types: centralized gateway selection for mobile users and distributed gateway selection for nomadic users. This local quality approach ensures each user type receives the most appropriate gateway architecture for their specific needs
2Reliability
If centralized gateway intelligence is used for all users, then mobile user mobility is improved, but network resource usage deteriorates
Solution Approach 1:
The user base is segmented into mobile and nomadic categories through behavior profiling. This segmentation allows the system to apply centralized gateway intelligence only to mobile users who require it, while nomadic users are served by distributed gateways, thus optimizing network resource usage
3Loss of energy
If distributed gateway selection is used, then bandwidth efficiency is improved, but support for mobile user mobility deteriorates
Solution Approach 1:
The gateway selection mechanism dynamically adapts to user mobility characteristics. Users exhibiting mobile behavior patterns are automatically routed through centralized gateways that provide optimal mobility support, while users with nomadic patterns are routed through distributed gateways for bandwidth efficiency
4Device complexity
If networking architectures are simplified, then device complexity is reduced, but ability to support varying user behaviors deteriorates
Solution Approach 1:
A behavior profiling function serves as an intermediary between the simplified network architecture and diverse user behaviors. This intermediary analyzes user patterns and makes intelligent routing decisions, allowing the core network architecture to remain simple while still adapting to varying user behaviors through the profiling layer
Data Source
AI summary
An apparatus is provided in one example embodiment and includes a gateway configured to be coupled to a profiling function that evaluates past end user behavior in order to make a point of attachment determination in a network for the end user. In cases where the end user had previously operated as a nomadic user, the profiling function triggers the gateway to define an Internet Protocol (IP) service for the end user and the point of attachment is the gateway. In more specific embodiments, if the end user is determined to be mobile, the gateway establishes a mobility tunnel to a hierarchical gateway, which acts as the point of attachment to the network for the end user. In still other embodiments, the profiling function includes querying a database that includes a profile for the end user. A profile for the end user can be identified in a RADIUS accounting request.