AMF Resource Scaling for Variable 5G Network Demand
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Solution Overview
Problem
In 5G NR cellular networks, certain parameters are not dynamically modifiable, leading to potential compromises in the promised higher throughput and lower latency.
Innovation Solution
Implementing a system with an AMF resource manager that monitors and dynamically scales AMF resources based on parameters such as UE count, base station status, and traffic interfaces, adjusting resource parameters like memory, CPU, and bandwidth to meet demand.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If AMF resources are configured statically or manually, then network stability is maintained, but resource allocation efficiency deteriorates leading to over-provisioning or under-provisioning
Solution Approach 1:
The patent implements dynamic resource scaling for AMF by continuously monitoring parameters such as number of UEs, base station status, and interface traffic. The system automatically adjusts resource parameters (CPU, memory, bandwidth) based on real-time demand, transitioning from static to dynamic resource configuration. This enables the system to adapt to varying network conditions and optimize resource utilization without manual intervention.
Solution Approach 2:
The patent establishes a feedback mechanism where the AMF resource manager monitors network parameters and uses this information to determine appropriate resource levels. The system compares monitored parameters against threshold criteria and automatically adjusts resources accordingly, creating a closed-loop control system that continuously optimizes resource allocation based on actual network demand.
2Reliability
If AMF resources are over-provisioned to ensure high availability, then system reliability improves, but resource waste increases
Solution Approach 1:
The system dynamically adjusts AMF resource allocation based on real-time monitoring of network parameters including UE count, base station status, and traffic patterns. This enables the system to provision resources only when and where needed, preventing both over-provisioning and under-provisioning while maintaining high availability through on-demand resource scaling.
Solution Approach 2:
The patent changes resource parameters (CPU capacity, memory size, bandwidth) dynamically based on monitored network conditions. By adjusting these parameters in response to actual demand rather than using fixed configurations, the system optimizes the balance between reliability and resource efficiency, allocating sufficient resources to maintain availability while avoiding waste during low-demand periods.
3Adaptability or versatility
If dynamic resource scaling is implemented, then resource allocation optimization improves, but system complexity increases
Solution Approach 1:
The AMF resource manager performs self-adjustment by automatically monitoring network parameters, evaluating threshold criteria, and scaling resources without external intervention. The system uses its own monitored data to determine resource needs, eliminating the need for manual configuration and reducing operational complexity while maintaining high adaptability to network conditions.
Data Source
AI summary
Technologies for dynamic scaling of access and mobility management function (AMF) resources in a cellular network are described. One method include monitoring a plurality of parameters associated with an access and mobility management function (AMF) in the cellular network, the plurality of parameters being associated with a demand on performance of the AMF; dynamically determining, based on the plurality of parameters, a value of a resource parameter of the AMF; and adjusting one or more resources of the AMF according to the value of the resource parameter.