Network Slice Selection Using Congestion Broadcast and URSP
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Solution Overview
Problem
Existing wireless networks, particularly those lacking native support for network slicing like LTE, struggle to manage network slice congestion effectively, leading to suboptimal service delivery when slices become overloaded, failing to meet Service-Level Agreements (SLAs) and impacting user experience.
Innovation Solution
Implementing a system where mobile devices receive network slice congestion information and apply User Equipment Route Selection Policy (URSP) rules to automatically or user-interactively select less congested network slices, leveraging network slice congestion information broadcasted by access stations, allowing for seamless service continuity and quality maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network slice congestion information is broadcasted and URSP rules are applied for automatic selection, then service quality and SLA compliance are improved, but device complexity and processing overhead increase
Solution Approach 1:
The system pre-configures URSP rules in mobile devices that contain routing policies for different network slice types. When congestion information is received, the device applies these pre-configured rules to quickly determine alternative slices without complex real-time decision-making, thus improving service quality while limiting processing overhead.
Solution Approach 2:
The patent introduces an intermediary mechanism where the network broadcasts congestion information and the device uses pre-configured URSP rules as a mediator to translate this information into routing decisions. This intermediary layer simplifies the decision-making process by providing structured policies rather than requiring complex algorithms.
2Stability of the object's composition
If network slice congestion information is monitored and alternative slices are selected in real-time, then service continuity is maintained, but information processing requirements and energy consumption increase
Solution Approach 1:
The system performs preliminary actions by pre-configuring URSP rules that map service types to network slice preferences. When congestion is detected, these pre-configured rules enable rapid lookup and decision-making, maintaining service continuity while minimizing real-time information processing requirements.
Solution Approach 2:
The mobile device autonomously monitors congestion information and applies URSP rules to select alternative slices without requiring network intervention. This self-service capability ensures service continuity while reducing the information processing burden on network infrastructure.
3Adaptability or versatility
If manual user selection is enabled for network slice choice, then user control and customization are improved, but operation time and user burden increase
Solution Approach 1:
The system implements a dynamic selection mechanism where the interface can switch between automatic and manual modes. By default, automatic selection based on URSP rules provides rapid service restoration, while users can opt for manual selection when customization is needed, balancing speed with user control.
Solution Approach 2:
The system provides feedback to users about congestion status and available alternative slices, enabling informed manual selection when users choose that mode. This feedback mechanism reduces the time required for manual selection by presenting relevant options rather than requiring users to navigate all available slices.
Data Source
AI summary
A device includes a memory that stores a User Equipment Route Selection Policy (URSP) and a processor. The processor is configured to: receive a signal broadcast from an access station; obtain network slice congestion information from the signal; apply the URSP to the network slice congestion information to select a network slice; and establish a session with the selected network slice.