Decision Graph Construction for Mobile Network Mobility Management
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Solution Overview
Problem
Existing techniques for managing application flows across heterogeneous access networks fail to dynamically adapt mobility decisions to individual applications and users, leading to inefficient handovers and quality of service issues, as they rely on either centralized decision-making or manual parameter distribution, resulting in suboptimal mobility and service quality.
Innovation Solution
A method for dynamically constructing decision graphs through configuration and decision messages between decision modules, allowing for the creation of active decision graphs specific to each application and user, enabling adaptive mobility management and quality of service allocation by distributing decision-making power across the network and terminal entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized decision-making is used for mobility management, then control of terminal mobility is maintained, but adaptability to individual applications and users deteriorates
Solution Approach 1:
The decision-making process is segmented into multiple decision modules distributed across the network architecture. Each module handles specific aspects of mobility decisions for particular applications or users, allowing both centralized coordination and localized adaptability. The segmentation enables the system to maintain overall control while adapting to individual application requirements.
Solution Approach 2:
The invention implements dynamic decision graphs that can be constructed and modified in real-time based on application characteristics and user policies. The decision-making structure transitions from static centralized control to dynamic distributed decision-making, where the architecture adapts its decision paths according to the specific needs of each application flow.
2Device complexity
If manual parameter distribution is used, then device complexity is reduced, but productivity of mobility management deteriorates
Solution Approach 1:
The system implements self-service mechanisms where decision modules automatically exchange configuration messages and construct decision graphs without manual intervention. The network elements autonomously distribute parameters and make decisions based on pre-defined policies and real-time conditions, eliminating the need for manual parameter distribution while maintaining simplicity.
Solution Approach 2:
The invention pre-configures decision modules with policies and parameters before mobility events occur. Decision graphs are prepared in advance with all necessary information about applications and users, enabling rapid automatic decision-making when mobility events occur without requiring manual parameter distribution at the time of handover.
3Loss of energy
If information exchange between network elements is limited, then signaling overhead is reduced, but measurement precision of mobility decisions deteriorates
Solution Approach 1:
The invention implements local quality by allowing each decision module to retain and process locally relevant information about specific applications and users. Instead of centralized collection of all parameters, each module maintains the precision needed for its specific decision context while exchanging only essential configuration messages with other modules, reducing overall signaling overhead.
Solution Approach 2:
The system performs preliminary information exchange during configuration phases where decision modules share necessary parameters and build decision graphs in advance. This preliminary action ensures that all measurement data and application characteristics are available before mobility decisions are made, achieving high measurement precision without requiring extensive real-time information exchange during actual handover events.
Data Source
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AI summary
The invention concerns a method for constructing at least one decision graph for managing at least one applicative stream assigned to a terminal (TM) and set up between said terminal and a correspondent via at least one communication network. Said method includes a step (71) of dynamically constructing at least one possible decision graph for said one applicative stream assigned to said terminal, itself including a step of exchanging at least one configuration message (73 to 711) between at least two decision modules pertaining to a predetermined set of decision modules (MD1 to MD6).