Distributed Mobile Core Data Services for Latency Reduction
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Solution Overview
Problem
Next-generation wireless communication networks face challenges in meeting low latency and high reliability requirements for services like cognitive assistance, as simply reducing air interface latency is insufficient, and existing approaches for distributing data and computing planes present scalability, compatibility, reliability, and security issues.
Innovation Solution
A mobile core network with distributed data services is implemented, featuring a central data center hosting a central mobile core data service agent and geographically distributed local agents that provide storage and replication of context information, allowing for independent scaling of data and control functionalities, and coordinating to pre-fetch and synchronize context information across sites.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If data and computing planes are moved towards the edge to reduce communication latency, then latency is reduced, but system design complexity and implementation challenges increase
Solution Approach 1:
The patent segments the mobile core network into multiple distributed data service agents deployed across different data centers. Each agent independently handles local data service requests, while synchronization mechanisms maintain consistency across the distributed system. This segmentation enables edge computing capabilities to reduce latency while distributing system complexity across multiple manageable nodes rather than concentrating it in a single complex centralized system.
Solution Approach 2:
The patent introduces a data service agent as an intermediary layer between the user equipment and the core network functions. This agent handles data plane operations locally at the edge, mediating between local computing needs and centralized network control. The intermediary enables latency reduction through local processing while maintaining compatibility with existing network architectures through standardized interfaces.
2Speed
If distributed network services are deployed to reduce latency, then communication speed improves, but reliability and security challenges increase
Solution Approach 1:
The patent implements local quality by deploying data service agents with specific functional capabilities at distributed data centers closer to users. Each agent is optimized for local data service operations, providing fast response times for local requests. The system maintains reliability through selective replication of critical functions and data across multiple agents, ensuring that local optimizations do not compromise overall system reliability.
Solution Approach 2:
The patent implements preliminary synchronization actions where data service agents proactively synchronize data and state information with other agents before failures occur. This preliminary action ensures that redundant copies of critical information are already available at distributed locations, maintaining system reliability and availability even when network partitions or failures occur in the distributed architecture.
3Productivity
If context information is pre-fetched and synchronized across distributed sites, then service responsiveness improves, but data synchronization complexity increases
Solution Approach 1:
The patent implements preliminary action by having data service agents proactively pre-fetch context information about user equipment before actual service requests occur. Agents monitor predicted user movements and service patterns, synchronizing relevant data in advance to distributed caches. This preliminary data preparation enables immediate service responsiveness when users actually access services, while the synchronization complexity is managed through event-driven updates rather than continuous synchronization.
Solution Approach 2:
The patent enables self-service through autonomous data service agents that independently make decisions about when and what data to synchronize based on local observations and predictions. Each agent monitors its own data freshness requirements and autonomously initiates synchronization operations with other agents, reducing the need for complex centralized coordination. This self-service approach improves responsiveness while simplifying the overall synchronization architecture through distributed autonomy.
Data Source
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AI summary
A mobile core network with distributed data services is provided. The mobile core network includes distributed mobile cores associated with mobile data service (MDS) agents at distributed data centers. A central MDS agent is host at a central data center providing legacy mobility management entity (MME) functions. The central MDS agent and the MDS agents at the distributed data centers coordinate with each other for synchronizing context information, such as subscriber data, session context data and metrics data of UEs, so that the context information is available at the central data center and the distributed data centers when or before it is requested.