Dynamic Redundant Link Management in 5G Data Centers
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Solution Overview
Problem
Current 5G network technologies face challenges in dynamically meeting latency, power, and quality of service requirements due to limitations in redeploying radio access network components and managing redundant links within data center hierarchies, leading to increased downtime and power consumption.
Innovation Solution
The deployment of virtualized distributed units (VDUs) and virtualized centralized units (VCUs) within a data center hierarchy, which allows for intelligent redeployment of radio access network components and dynamic reassignment of redundant links based on latency, power, and quality of service requirements, using containerized applications and microservices to optimize network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If radio access network components are redeployed closer to user equipment to satisfy latency requirements, then latency is reduced, but power consumption increases
Solution Approach 1:
The patent implements dynamic redeployment of virtualized radio access network components (VDUs and VCUs) within the data center hierarchy, allowing the system to adapt component locations based on changing latency and power requirements. This enables the network to optimize between edge deployment (lower latency) and centralized deployment (lower power) as conditions change.
Solution Approach 2:
The system changes the deployment parameter (location within data center hierarchy) of virtualized network functions based on operational requirements. By dynamically adjusting where VDUs and VCUs are instantiated in the hierarchy, the system can optimize for either low latency (closer to UE) or low power (closer to core) depending on current needs.
2Reliability
If redundant links are maintained for high availability, then system reliability improves, but power consumption and complexity increase
Solution Approach 1:
The patent implements dynamic management of redundant links where the system automatically generates, maintains, or removes redundant connections based on real-time failure detection and current operational requirements. This allows the network to have high availability when needed while conserving power when redundancy is less critical.
Solution Approach 2:
The system performs self-service by automatically detecting failures and generating appropriate redundant links without manual intervention. The network monitors its own health and dynamically provisions redundancy only when failures are detected, eliminating the need to permanently maintain all possible redundant paths.
3Adaptability or versatility
If virtualized network functions are dynamically reassigned to different data center layers, then adaptability improves, but system complexity increases
Solution Approach 1:
The patent creates a universal management system that handles multiple functions (deployment, monitoring, failure detection, redundant link management) through a single automated platform. This universal approach manages the complexity of dynamic reassignment while providing adaptability across different scenarios and requirements.
Solution Approach 2:
The system implements feedback mechanisms where deployment decisions are based on monitored performance metrics and failure rates. This closed-loop control automates the complex decision-making process for dynamic reassignment, reducing the perceived complexity through systematic feedback-driven management.
4Use of energy by moving object
If components are deployed at edge data centers closer to core network, then power consumption decreases, but latency increases
Solution Approach 1:
The system dynamically adjusts the deployment location of virtualized network functions within the data center hierarchy, allowing components to be positioned at edge data centers for power efficiency or at local data centers for lower latency, based on current operational requirements.
Solution Approach 2:
The deployment parameter (location in hierarchy) is changed dynamically based on whether power efficiency or latency performance is the current priority. The system can shift the same virtualized functions between different hierarchical levels to optimize for different parameters as needed.
Data Source
AI summary
Methods and apparatuses for improving telecommunications services by intelligently deploying redundant links within a data center hierarchy to satisfy latency, power, availability, and quality of service requirements are described. A data center hierarchy of a cellular network is established with a first data center layer, a second data center layer, and a third data center layer. A first redundant link is established between a first node in the first data center layer and a third node in the third data center layer. In response to detecting that a failure rate of the first data center layer exceeds a threshold failure rate, the first redundant link is removed and a second redundant link is added between the third node and a second node in the second data center layer.