RAN Node Assignment for Balanced Security Gateway Load

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing communication networks face challenges in efficiently assigning radio access network (RAN) nodes to security gateways, leading to resource utilization imbalances and potential overloading, particularly in handling encrypted and non-encrypted traffic.

Innovation Solution

A method involving measuring performance indicators and utilization metrics of RAN nodes and security gateways, performing regression analysis to build models, and creating optimization models that account for resource constraints to determine optimal assignments or reassignments of RAN nodes to security gateways.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If RAN nodes are assigned to security gateways without optimization, then the network can handle encrypted traffic, but resource utilization becomes unbalanced and gateways may become overloaded

Engineering Contradiction:

Improvenetwork stabilityVSAvoidresource utilization efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system performs regression analysis and creates optimization models in advance to predict future resource needs of security gateways. By calculating optimal RAN node assignments before actual traffic patterns develop, the system proactively prevents overload conditions and maintains balanced resource utilization, resolving the contradiction between network stability and efficiency.

Inventive Principle:

Principle #10Preliminary action

2Productivity

If more RAN nodes are assigned to a security gateway, then more encrypted traffic can be handled, but the gateway may become overloaded and performance degrades

Engineering Contradiction:

Improvetraffic handling capacityVSAvoidgateway performance

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The optimization model dynamically determines the optimal number of RAN nodes to assign to each security gateway based on predicted resource needs, current gateway capacity, and traffic patterns. This dynamic assignment allows the system to maximize traffic handling capacity while maintaining gateway performance by adjusting assignments in real-time rather than using fixed allocations.

Inventive Principle:

Principle #15Dynamics

3Productivity

If regression analysis and optimization modeling are performed, then optimal RAN node assignments can be determined, but system complexity increases

Engineering Contradiction:

Improveassignment optimizationVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system employs self-service mechanisms where the optimization model automatically collects performance data from security gateways, performs regression analysis, and generates optimal assignments without requiring manual intervention. This automation reduces operational complexity despite the sophisticated algorithms used, as the system serves itself by continuously optimizing assignments based on observed patterns.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS12483603B2(RE) assigning of nodes on security and priority network

Publication Date: 2025.11.25 AT&T INTELLECTUAL PROPERTY I L P

AI summary

Aspects of the subject disclosure may include, for example, determining regression models that predict resource utilization at security gateways as a function of performance indicator values measured at radio access network (RAN) nodes. Optimization models are built using the regression models and constraints related to the security gateway resources. Solutions to the optimization models include assignments of RAN nodes to communicate with security gateways, where the assignments satisfy the constraints in the optimization models. Other embodiments are disclosed.