5G-NR API for Transport Network Analytics Sharing
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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 settings adjustment where modulation schemes, routing protocols, and application settings are automatically modified in real-time based on network conditions. This allows the network to adapt its behavior dynamically to handle varying loads, preventing performance deterioration even as device connectivity increases
Solution Approach 2:
The system continuously monitors network performance metrics and uses this feedback to adjust network settings. By implementing closed-loop control where performance data feeds back into decision-making processes, the network can respond to congestion conditions and maintain reliability despite increased device density
2Quantity of substance
If large amounts of data are transmitted to satisfy application requests, then data delivery capability is improved, but network congestion worsens
Solution Approach 1:
The patent changes network parameters such as modulation schemes and routing protocols based on traffic conditions. By adjusting these parameters dynamically, the system can optimize data transmission efficiency and reduce congestion while still satisfying large data transmission requirements
Solution Approach 2:
The system segments network traffic and applies different routing protocols and settings to different data flows. This allows large data transmissions to be managed in controlled segments rather than overwhelming the entire network at once, maintaining overall throughput while satisfying data delivery needs
3Productivity
If network settings are adjusted dynamically to optimize performance, then network efficiency is improved, but system complexity increases
Solution Approach 1:
The network system performs self-adjustment through automated monitoring and control mechanisms. Rather than requiring external manual intervention, the system autonomously optimizes its own performance by adjusting settings based on monitored conditions, reducing the operational complexity burden while maintaining high efficiency
Solution Approach 2:
The control system integrates multiple functions into unified components that can handle various network optimization tasks. By creating multi-functional control elements that can adjust modulation schemes, routing protocols, and application settings, the system reduces overall complexity compared to having separate dedicated systems for each function
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.


