Cloud-Native RAN Container Scaling for Subscriber Throughput
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Solution Overview
Problem
Conventional radio access networks (RANs) face challenges in efficiently scaling subscriber handling capacity and throughput, leading to underutilization of compute resources when processing demands fluctuate below peak levels, necessitating dynamic scaling mechanisms in cloud native RANs.
Innovation Solution
Implementing methods and systems for determining and adjusting processing capacity in cloud native RANs by comparing it to predetermined thresholds, transitioning user equipment between containers, and altering identifiers during scaling operations to optimize resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional radio access networks are configured for peak subscriber processing capacity demands, then the network can handle maximum load, but compute resources become under-utilized when processing capacity falls below peak
Solution Approach 1:
The patent implements dynamic scaling of container instances based on real-time processing capacity thresholds. When processing capacity exceeds a first threshold, the system scales out by adding container instances; when it falls below a second threshold, the system scales in by removing container instances. This dynamic adjustment resolves the contradiction by allowing the network to handle peak loads reliably while avoiding compute resource under-utilization during low-demand periods.
Solution Approach 2:
The system changes the number of container instances as a variable parameter based on processing capacity thresholds. By monitoring processing capacity and adjusting the instance count dynamically, the system adapts resource allocation to actual demand, preventing both overload and under-utilization of compute resources.
2Loss of energy
If cloud native RANs implement dynamic scaling mechanisms, then resource utilization improves, but system complexity increases
Solution Approach 1:
The system implements self-service automation where the network automatically monitors processing capacity, compares it against predefined thresholds, and executes scaling operations without manual intervention. The system self-adjusts the number of container instances based on real-time conditions, reducing operational complexity while maintaining optimal resource utilization.
Solution Approach 2:
The patent employs feedback mechanisms by continuously monitoring processing capacity and using threshold comparisons to trigger appropriate scaling actions. This closed-loop control simplifies the scaling mechanism by using clear, rule-based decision logic rather than complex algorithms, making the system easier to manage while achieving efficient resource utilization.
Data Source
AI summary
A method, an apparatus, and a computer program product for scaling of subscriber capacity in a cloud native radio access network (RAN). A processing capacity being assigned to one or more containers in a plurality of containers of a cloud native radio access network for providing communication to at least one user equipment in a plurality of user equipments is determined. The determined processing capacity is compared to at least one predetermined threshold in a plurality of predetermined thresholds. Based on the comparing a determination is made whether to change an assignment of the processing capacity.