Adaptive Network Infrastructure for Dynamic SLA Compliance
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Solution Overview
Problem
Current wireless communication networks face challenges in managing diverse service demands due to limited paths capable of maintaining specific service levels, particularly in radio access networks (RANs), which affects quality of service (QoS) metrics like latency, error rate, and throughput.
Innovation Solution
The implementation of multi-access edge computing (MEC) and network slicing technologies, combined with virtualization and software-defined networking (SDN), allows for dynamic resource allocation and configuration of network slices to meet varying service requirements, enhancing QoS by optimizing resource utilization and service orchestration across different network locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional network architectures are used, then network infrastructure is simple, but the number of paths capable of maintaining specific service levels is limited
Solution Approach 1:
The network is segmented into multiple network slices, each optimized for specific service levels. This segmentation allows creation of dedicated paths with guaranteed QoS parameters while maintaining overall network simplicity through virtualization.
Solution Approach 2:
The patent introduces a virtualization dimension to the traditional network architecture. By overlaying multiple virtual network slices on top of physical infrastructure, it exponentially increases the number of capable paths without proportionally increasing physical complexity.
2Adaptability or versatility
If network slicing and virtualization are implemented, then service adaptability improves, but device and network complexity increases
Solution Approach 1:
The patent implements universal network slice templates that can be instantiated multiple times with different parameters. A single template design serves multiple service types, reducing the need for custom configurations and managing complexity through reusability.
Solution Approach 2:
The system manages complexity by parameterizing network slice configurations rather than redesigning structures. Service requirements are met by adjusting parameters (bandwidth, latency, priority) within existing slice templates rather than creating entirely new network paths.
3Reliability
If dynamic resource allocation is used, then QoS optimization improves, but control and management complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where network slice performance is continuously monitored and compared against SLA requirements. Automatic adjustments are made to resource allocation based on performance feedback, reducing manual management complexity while maintaining QoS optimization.
Solution Approach 2:
Network slices are designed with self-configuring capabilities that automatically adjust resource allocation based on traffic patterns and service requirements. This self-service behavior reduces the burden on network operators while maintaining optimized QoS performance.
Data Source
AI summary
A method, system, and computer-readable medium may provide for receiving network performance indicator data associated with a network slice connected to a user equipment (UE) device via a first type of network infrastructure; determining, based on the network performance indicator data, that one or more service level agreements (SLAs) for the network slice will not be met or are not currently being met; identifying a second type of network infrastructure based on service requirements for the network slice, wherein the network requirements include the one or more SLAs and a service profile; accessing a network function virtualization infrastructure (NFVI) inventory to determine a supportability for the instantiation of the second type of network infrastructure; and instructing an orchestrator to deploy the second type of network infrastructure over the access network.