5G Network Analytics API for Cross-Network Congestion Control
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Solution Overview
Problem
Challenges exist in providing reliable and high-quality service for devices using 5G-NR technology, particularly when multiple devices access the internet simultaneously, leading to network congestion and performance degradation, especially for applications with large data requirements.
Innovation Solution
Implementing application programming interfaces (APIs) and subscription services that enable 5G-NR networks (radio access, transport, and core networks) to share analytic data, allowing devices to adjust network settings for improved performance, with an external controller optimizing settings across networks for enhanced end-to-end performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple devices access the internet simultaneously through 5G-NR network, then network connectivity and service availability are improved, but network congestion increases and performance degrades
Solution Approach 1:
The patent implements a feedback mechanism where the RAN device receives analytic data from the transport network device about network conditions and performance metrics. Based on this feedback, the RAN device dynamically adjusts its network settings including scheduling parameters, resource allocation, and transmission power to optimize performance while handling multiple devices simultaneously.
Solution Approach 2:
The system enables dynamic adjustment of network settings in real-time based on current network conditions. The RAN device can modify scheduling policies, resource block allocation, and other parameters dynamically in response to changing traffic patterns and network load, allowing the system to adapt to varying numbers of connected devices.
2Adaptability or versatility
If applications with large data requirements are supported, then service capability and user experience are improved, but network congestion is exacerbated
Solution Approach 1:
The patent applies local quality by implementing differentiated service handling where the RAN device can identify and prioritize traffic based on application type and data requirements. Different scheduling algorithms and resource allocation strategies are applied locally to different traffic flows, allowing high-data applications to receive appropriate resources while preventing them from causing excessive congestion to other traffic.
Solution Approach 2:
The system changes network parameters dynamically based on application requirements. The RAN device adjusts modulation schemes, coding rates, and resource allocation parameters according to the specific needs of different applications, enabling efficient handling of large data requirements while optimizing overall network utilization and reducing congestion.
3Reliability
If network settings are adjusted to improve performance, then service quality is improved, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary mechanism where a standardized interface and protocol are established between the RAN device and transport network device. This intermediary layer simplifies the complexity by providing a defined communication framework for exchanging analytic data and control information, reducing the burden on both devices while enabling sophisticated performance optimization.
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.