Dynamic Access Policy Determination for 5G Terminal Devices
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Solution Overview
Problem
In 5G networks with coexisting eLTE and NR access types, the existing methods for terminal device access are not flexible enough, as they primarily rely on a single target RAT or access frequency, failing to adapt to varying service experiences and requirements.
Innovation Solution
A policy determining method and system that uses analytics information from a data analytics network element to dynamically select a radio access type (RAT) or access frequency for terminal devices based on service experience requirements, considering factors like service type, time, and area, to optimize access network flexibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single target RAT or access frequency is used for terminal device access, then the access method is simple, but the flexibility of accessing the access network is insufficient
Solution Approach 1:
The patent implements dynamic access information selection by allowing the terminal device to choose from multiple candidate RATs or access frequencies based on real-time conditions. The network provides multiple access options rather than a fixed single target, enabling the access method to adapt dynamically to varying service requirements and network states, thus resolving the contradiction between flexibility and complexity.
Solution Approach 2:
The patent changes the parameter of access information from a single fixed value to multiple variable options. By providing multiple candidate RATs and access frequencies with different priorities and conditions, the system allows parameter selection based on service types and network conditions, thereby improving flexibility without requiring fundamentally complex access procedures.
2Adaptability or versatility
If multiple candidate RATs or access frequencies are provided for terminal device access, then the flexibility of accessing the access network is improved, but the complexity of determining the access policy increases
Solution Approach 1:
The patent introduces an access and mobility management function network element as an intermediary that handles the complex policy determination. This intermediary receives service experience analytics information, processes multiple candidate access options, and provides simplified access recommendations to the terminal device. The complexity is thus shifted from the terminal to the network-side intermediary, maintaining flexibility while reducing device complexity.
Solution Approach 2:
The patent implements feedback mechanisms where the terminal device reports service experience information back to the network, which then adjusts the candidate access information and priorities accordingly. This feedback loop enables automated optimization of access policies based on actual service performance, reducing the need for manual complex policy configuration and simplifying the determination process.
3Reliability
If dynamic allocation of RAT or access frequency is implemented based on analytics information, then service experience requirement is met, but the network system complexity increases
Solution Approach 1:
The patent segments the network system into distinct functional modules: a data analytics network element that generates service experience analytics information, an access and mobility management function network element that processes this information and determines access policies, and terminal devices that execute the policies. This segmentation allows each module to specialize in specific tasks, improving service experience quality while managing overall system complexity through modular architecture.
Solution Approach 2:
The patent enables the network system to automatically adjust RAT or access frequency allocation based on analytics information without manual intervention. The data analytics network element continuously monitors service experience, and the access and mobility management function automatically updates candidate access information and priorities, allowing the system to self-optimize for service quality while reducing operational complexity.
Data Source
AI summary
This application provides a policy determining method. The method includes: A first network element obtains first analytics information from a data analytics network element, where the first analytics information includes at least one of the following information: radio access type (RAT) related information or access frequency related information, and service experience analytics information corresponding to a RAT or an access frequency; and the first network element determines an access information selection policy of a terminal device based on the first analytics information, where the access information selection policy includes a target RAT or a target access frequency corresponding to the terminal device. The data analytics network element generates analytics information based on obtained network data and service data, and provides the analytics information for a network function network element.