Adaptive Handover Rules Engine for Wireless Networks
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Solution Overview
Problem
Current handover mechanisms in communication networks do not adequately account for user preferences and application requirements, leading to suboptimal performance and increased costs due to reliance on generalized rules rather than personalized settings.
Innovation Solution
A rules engine that allows users to create and enforce customized handover policies based on their experiences and application needs, integrating user-defined rules with network-based and device-based handover mechanisms to optimize connectivity and resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If generalized handover rules are used, then device complexity is reduced and ease of operation is improved, but adaptability to user preferences and application requirements deteriorates
Solution Approach 1:
The handover rule set is segmented into multiple components: generalized handover rules that provide baseline operation, user-defined rules that capture personal preferences, and application-defined rules that address specific application requirements. This segmentation allows each layer to operate independently while collectively providing comprehensive handover management that is both easy to operate and highly adaptable.
Solution Approach 2:
The handover mechanism is designed with multi-functionality to serve multiple purposes: it handles standard network-based handovers, device-based handovers, user-preference-based handovers, and application-requirement-based handovers within a unified framework. This universal approach maintains ease of operation while achieving broad adaptability across different scenarios.
2Adaptability or versatility
If user-defined handover rules are implemented, then adaptability to user preferences and application requirements is improved, but device complexity increases
Solution Approach 1:
The system adds a new dimension to handover management by introducing a rule-priority hierarchy. Instead of managing complexity through additional components, the solution organizes rules across dimensional layers: network-based rules, device-based rules, user-defined rules, and application-defined rules. Each layer operates with defined priority relationships, allowing complex adaptability to be managed through structured organization rather than increased complexity.
3Productivity
If multiple handover rule types are integrated, then adaptability and performance optimization are improved, but conflict between rules may increase
Solution Approach 1:
The system performs preliminary conflict detection and resolution by establishing a defined priority hierarchy among different rule types before handover decisions are made. Network-based rules, device-based rules, user-defined rules, and application-defined rules are pre-ordered with clear precedence relationships. This preliminary structuring prevents rule conflicts from causing reliability issues during actual handover operations, allowing multiple rule types to work together to optimize network performance.
Data Source
AI summary
The claimed subject matter provides a system and/or a method that facilitates optimizing handover in connection with an access network. An access network can include at least one device exchanges data therewith, wherein the device communicates with at least one access station within the access network to exchange data. A rules engine can create a user-defined rule based upon at least one of a resource requirement for a device application or a user input related to a quality of service (QoS) experience with the device. The rules engine can enforce the user-defined rule to employ handover related to the device and at least one of an access station within the access network or a disparate access network.