Dynamic SSC Mode Selection Using Machine-Learned Handover Status
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Solution Overview
Problem
Existing SSC modes in 5G networks are pre-set by carriers and may not align with the actual communication status of terminals, leading to inefficient resource use and network load imbalance.
Innovation Solution
An information processing apparatus and method that utilizes machine learning to predict communication status after handover and dynamically determine the optimal SSC mode for a communication terminal based on its predicted status, using a network data analytic function (NWDAF) or session management function (SMF) to manage session continuity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a pre-set SSC mode is used for all terminals, then network configuration is simplified, but communication resources are not used efficiently and network load becomes high
Solution Approach 1:
The patent applies dynamics by transitioning from a static pre-set SSC mode to a dynamic SSC mode selection mechanism. The system continuously monitors terminal communication status and handover conditions, then dynamically determines the optimal SSC mode (Mode 1, 2, or 3) for each terminal based on real-time network conditions and terminal requirements, thereby optimizing communication resource efficiency while maintaining manageable network configuration complexity
Solution Approach 2:
The patent changes the parameter of SSC mode selection from a fixed carrier-preset value to a dynamically determined parameter based on terminal communication status. By monitoring parameters such as handover frequency, communication duration, and network conditions, the system adjusts the SSC mode parameter adaptively, resolving the contradiction between configuration simplicity and resource efficiency
2Loss of time
If SSC mode 3 is used for terminals with no real-time requirement, then IP address continuity is achieved with less delay, but communication resources are not used efficiently
Solution Approach 1:
The patent applies local quality by tailoring the SSC mode selection to individual terminal characteristics and communication needs. Instead of applying a uniform SSC mode 3 to all terminals, the system evaluates each terminal's specific conditions (such as handover frequency, communication duration, and service requirements) to determine the most appropriate SSC mode, thereby optimizing both time continuity and resource efficiency for each local case
Solution Approach 2:
The patent implements feedback mechanisms where the system monitors terminal communication status and handover behavior, then uses this feedback information to adjust SSC mode selection. By continuously evaluating actual communication patterns and comparing them with predicted patterns, the system optimizes SSC mode choice to balance IP address continuity with communication resource efficiency
3Reliability
If SSC mode is determined in advance for each terminal, then communication status can be optimized, but communication resources are not used efficiently and network load becomes high
Solution Approach 1:
The patent applies preliminary action by predicting terminal communication status and handover patterns before they actually occur. The system uses machine learning models to forecast future communication behavior based on historical data, allowing proactive SSC mode selection that optimizes communication status while avoiding unnecessary network resource allocation and load
Data Source
AI summary
An information processing apparatus executes an acquiring process, a prediction process, and a determination process. The acquiring process is a process for acquiring, from a communication apparatus, a communication status for the communication apparatus before handover. The prediction process is a process for predicting, based on the communication status before handover, a communication status for the communication apparatus after handover using machine learning. The determination process is a process for determining, based on the predicted communication status after handover, an Service and Session Continuity (SSC) mode to be used by the communication apparatus after handover.