5G-NR API for Dynamic Network Slice Optimization
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Solution Overview
Problem
5G-NR networks face challenges in providing reliable and high-quality service due to congestion, especially when multiple devices access the internet simultaneously, leading to performance issues such as slowed video game performance and increased latency.
Innovation Solution
Implementing APIs and subscription services that enable 5G-NR networks to share analytic data across radio access, transport, and core networks, allowing devices to adjust network settings such as modulation schemes, routing protocols, and application settings to optimize performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple devices access the internet simultaneously through 5G-NR networks, then network capacity and connectivity are improved, but network congestion increases and performance deteriorates
Solution Approach 1:
The patent implements dynamic network slicing that adapts in real-time based on traffic conditions, device requirements, and network load. Network slices are not static but can be created, modified, or terminated dynamically to optimize performance for each service type while accommodating varying numbers of connected devices
Solution Approach 2:
The network is divided into multiple virtual network slices that segment traffic by service type, priority, or application requirements. This segmentation allows different devices and services to operate in isolated virtual networks, preventing congestion in one slice from affecting others, thereby maintaining reliability as device quantity increases
2Adaptability or versatility
If large amounts of data are transmitted in network requests, then application functionality is improved, but network congestion increases and service reliability deteriorates
Solution Approach 1:
Different network slices are allocated with specific quality characteristics optimized for their intended applications. High-bandwidth applications like video streaming receive slices with large data transmission capacity, while latency-sensitive applications like online gaming receive slices with optimized response time, allowing each application to function at its optimal level without interfering with others
Solution Approach 2:
The network slice management system acts as an intermediary that monitors traffic patterns, application requirements, and network conditions, then dynamically adjusts slice parameters to balance data transmission needs with overall network reliability, preventing any single large data request from causing system-wide congestion
3Reliability
If network settings are adjusted to optimize performance for specific applications, then application-specific quality is improved, but overall system complexity increases
Solution Approach 1:
The network slice management system automatically monitors application performance requirements and dynamically adjusts network slice configurations without manual intervention. The system self-optimizes by detecting when applications need specific settings and automatically modifying slice parameters, thereby maintaining high application performance while avoiding the complexity of manual configuration management
Data Source
AI summary
Apparatuses, systems, and techniques including APIs, subscription services, and controllers to enable one or more fifth generation new radio (5G-NR) networks to share information. For example, a processor comprising one or more circuits can perform an API or subscription service to cause a device in a radio access network (RAN) to share its analytic data with a device in a transport network, and said device in said transport network can use said analytic data to adjust its network settings to improve performance.