Message Bus Rerouting for High-Throughput 5G and 6G Data
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Solution Overview
Problem
Current wireless data networks, particularly in 5G and beyond, face challenges with centralized data management that is costly and time-consuming, leading to reduced speed advantages due to increased data volumes and complexity from disaggregated RAN components, necessitating improved data transmission and processing methods.
Innovation Solution
Implementing message buses for direct data pathways between producers and consumers, enabling scalable and flexible data transmission without permanent connections, and utilizing topic governance for efficient data distribution, with controllers for rerouting in case of failures, and edge deployment of pre-generated message buses for low-latency data consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If centralized data management is implemented, then data collection and distribution capacity is improved, but transmission time and cost increase
Solution Approach 1:
The patent segments the centralized data management system into distributed edge computing nodes. Data is processed and managed at multiple edge locations rather than being funneled through a single central point, reducing transmission distances and time while maintaining comprehensive data collection capabilities
Solution Approach 2:
The patent introduces a spatial dimension to data management by deploying edge computing resources across multiple geographic locations. This transforms the traditional single-point centralized management into a multi-dimensional distributed architecture, enabling parallel data processing and reducing transmission latency
2Quantity of substance
If centralized data management is implemented, then data collection capacity is improved, but cost increases
Solution Approach 1:
The patent divides the centralized management function into distributed edge nodes that independently process and manage data locally. This segmentation eliminates the need for expensive centralized data transmission and processing infrastructure, reducing overall management costs while maintaining data collection capacity
Solution Approach 2:
Edge computing nodes autonomously process and manage data at the network edge without requiring constant centralized control. This self-service capability reduces the operational overhead and cost associated with centralized data management while preserving comprehensive data collection
3Adaptability or versatility
If disaggregated RAN components are used, then network flexibility and scalability are improved, but data transmission complexity increases
Solution Approach 1:
The patent implements a unified message bus system that serves multiple functions across disaggregated RAN components. This universal communication infrastructure handles data routing, governance, and transmission across diverse network elements, reducing the complexity that would otherwise arise from managing multiple specialized protocols and interfaces
Solution Approach 2:
The message bus acts as an intermediary layer between disaggregated RAN components, providing standardized communication protocols and data governance rules. This mediator simplifies interactions between flexible but complex network elements, enabling scalability without proportionally increasing transmission complexity
Data Source
AI summary
Technologies for providing large data throughput communication in a next generation cellular network (e.g., 5G wireless network, 6G wireless network) are described. The method includes connecting a producer to a message bus based on producer configurations and connecting a consumer to a message bus to receive data from the producer via the message bus. Upon detection of a fault in the message bus, the system can reconfigure connections through a secondary message bus between the first producer and the second producer to reenable data transmission.