5G MICO Mode Management with NWDAF Analytics for Power and Service Quality
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Solution Overview
Problem
Existing 5G mobile network systems face challenges in optimizing Mobile Initiated Communication Only (MICO) mode management, leading to increased power consumption and potential service degradation due to inefficient parameter setting for terminals.
Innovation Solution
A method and device that utilize network data analytics functions (NWDAF) to optimize MICO mode parameters, including artificial intelligence and machine learning, to determine optimal settings based on terminal behavior and network conditions, ensuring reduced power consumption and minimal service degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If MICO mode parameters are set to reduce terminal power consumption, then power consumption decreases, but service quality may deteriorate
Solution Approach 1:
The patent dynamically adjusts MICO mode parameters (such as periodic registration timer values, active time settings, and communication intervals) based on terminal behavior patterns and network conditions. By changing these parameters adaptively rather than using fixed values, the system optimizes the balance between power consumption and service quality for different scenarios.
Solution Approach 2:
The system implements feedback mechanisms where the network analyzes terminal communication patterns, service types, and performance metrics to continuously refine MICO mode parameter settings. This feedback loop ensures that parameter adjustments maintain service quality while achieving power savings, preventing degradation by learning from actual system performance.
2Use of energy by moving object
If MICO mode parameters are optimized for power saving, then power consumption decreases, but communication efficiency may be reduced
Solution Approach 1:
The patent introduces dynamic parameter adjustment where MICO mode settings are not static but adapt in real-time based on terminal activity patterns, service requirements, and network conditions. This dynamics allows the system to switch between more aggressive power-saving settings and performance-optimized settings as conditions change, maintaining communication efficiency while achieving power savings.
Solution Approach 2:
The system performs preliminary analysis of terminal behavior patterns and service characteristics before finalizing MICO mode parameter settings. By predicting future communication needs based on historical data and current context, the system pre-optimizes parameters to prevent both power waste and communication inefficiency, ensuring parameters are set optimally before communication events occur.
3Reliability
If network analysis information is collected and processed, then MICO mode optimization improves, but network complexity increases
Solution Approach 1:
The patent introduces a network data analytics function (NWDAF) as an intermediary component that专门 handles the complex tasks of collecting, processing, and analyzing terminal behavior data. This intermediary separates the optimization intelligence from the core MICO mode management, allowing the network to benefit from sophisticated analysis without significantly increasing the complexity of the MICO management logic itself. The NWDAF acts as a dedicated analytics layer that simplifies the overall system architecture.
Data Source
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AI summary
A communication technique of integrating a 5th generation (5G) or pre-5G communication system for supporting a higher data transmission rate after a 4th generation (4G) communication system such as long term evolution (LTE) with an IoT technology, and a system thereof. The disclosure may be applied to an intelligent service (for example, a smart home, a smart building, a smart city, a smart car, or a connected car, health care, digital education, retails, security and a safety related service, and the like) based on the 5G communication technology and the IoT related technology. According to various embodiments, a device and a method for optimizing mobile initiated communication only (MICO) mode related parameter values for reducing power consumption of a terminal in a mobile communication system.