Message Bus Channels for Real-Time and Deferred 5G Data Flow
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Solution Overview
Problem
Current wireless data networks, particularly in 5G and beyond, face challenges with centralized data management that is expensive 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 managed message buses that enable direct pathways for data transmission between producers and consumers, allowing for scalable, low-latency communication without the need for permanent connections, and utilizing topic governance to ensure accurate and relevant data delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If centralized data management is implemented, then data distribution capability is improved, but transmission speed and latency are worsened
Solution Approach 1:
The patent segments the centralized data management system into distributed edge computing nodes. Instead of routing all data through a central point, data is processed and distributed across multiple edge locations closer to consumers. This segmentation maintains the adaptability of centralized management while reducing transmission latency by eliminating long-distance data routing.
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 architecture into a multi-dimensional distributed network, allowing data to be managed centrally while being processed locally at edge nodes, thus improving both distribution capability and transmission speed.
2Adaptability or versatility
If centralized data management is implemented, then data distribution capability is improved, but time and financial costs are worsened
Solution Approach 1:
The patent implements preliminary action by pre-positioning data and computing resources at edge locations before they are needed. Data is replicated and cached at distributed edge nodes in advance, so when consumers need access, the data is already locally available. This eliminates the time required for real-time data retrieval from centralized sources, significantly reducing processing delays while maintaining centralized control over data replication.
3Adaptability or versatility
If disaggregated RAN components are used, then network flexibility and scalability are improved, but data volume and complexity increase
Solution Approach 1:
The patent introduces an intermediary layer of edge computing platforms that mediate between disaggregated RAN components and consumers. These edge nodes aggregate and standardize data from multiple heterogeneous RAN components, transforming complex, fragmented data streams into unified, manageable formats. This intermediary layer maintains network flexibility while reducing the complexity burden on consumers and central systems.
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 receiving requests from producers and consumers for integration into a communication pathway. Based on producer data output, the producer can be connected to a message bus that can store data from the producer in short-term data store or long-term data store. A data consumer can request data of a data type or from a data producer be provided from the message bus to the data consumer. Based on the immediate usability of the data by the consumer, the consumer can direct to the message bus to store data in a short-term data store for quick transfer to the consumer for real-time data consumption, or to a long-term data store to be stored until the consumer is available for the data.