Network Node Decomposition for Edge Latency Reduction
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Solution Overview
Problem
Current telecommunications networks face challenges in deploying network functions flexibly, particularly in reducing latency by moving core network functions closer to the cell edge, which is essential for 5G applications.
Innovation Solution
The method involves decomposing network nodes into virtual machines or containers, allowing these decomposed nodes to be moved across the network, including to the edge, and reconstituted as needed, using active-standby techniques to ensure smooth reactivation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If core network functions are centralized at a single location, then network management and control is simplified, but latency increases for edge applications
Solution Approach 1:
The patent segments the core network into multiple distributed core network nodes, each capable of independent operation. This segmentation allows network functions to be distributed geographically, reducing latency for edge applications while maintaining manageable complexity through modular architecture. Each node handles specific network functions locally rather than requiring all functions to be centralized.
Solution Approach 2:
The patent transitions from a single-dimensional centralized architecture to a multi-dimensional distributed architecture where core network nodes are positioned across different geographic locations. This dimensional change enables simultaneous optimization for both latency (through local processing) and management complexity (through standardized node interfaces and protocols).
2Adaptability or versatility
If network nodes are decomposed into virtual machines or containers, then deployment flexibility and scalability improve, but system complexity increases
Solution Approach 1:
The patent implements universal virtual machine or container images that can be deployed across diverse hardware platforms and locations. These standardized images encapsulate network functions in a portable format, enabling flexible deployment while reducing complexity through reuse of the same deployment mechanisms and management interfaces regardless of the underlying platform.
Solution Approach 2:
The patent uses virtual machine or container copying to replicate network functions across multiple locations. Instead of manually configuring each node, standardized virtual images are copied and deployed automatically, greatly enhancing deployment flexibility while reducing operational complexity through automated provisioning and configuration management.
3Loss of time
If network functions are distributed across multiple locations, then latency is reduced for edge applications, but network management complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where distributed core network nodes report their status, performance metrics, and resource utilization to a centralized management system. This feedback enables automated orchestration and coordination of distributed nodes, reducing management complexity despite geographic distribution. The management system uses this feedback to dynamically allocate workloads and coordinate handovers.
Solution Approach 2:
The patent enables distributed core network nodes to autonomously perform self-configuration, self-diagnosis, and self-optimization functions. This self-service capability reduces the burden on network operators by allowing nodes to automatically adapt to changing conditions and resolve common issues without manual intervention, thereby simplifying management despite distribution across multiple locations.
Data Source
AI summary
Methods and computer software are disclosed for providing decomposition and distribution of network functions. In one example embodiment a method includes decomposing a node in a network into a decomposed node including a plurality of virtual machines or containers; and moving the decomposed node to any location across the network.