Communication System Controller for Utility-Based Action Selection

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Solution Overview

Problem

Existing communication systems face challenges in achieving a balanced and dynamic selection of system operational actions due to varying traffic loads and conflicting system operational characteristics, leading to inefficiencies and potential failures.

Innovation Solution

A system controller that utilizes utility theory to evaluate system operational actions based on quantitative outcomes and associated probabilities, determining a utility score for each action to select the one with the highest utility, thereby optimizing system performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If system entities are dimensioned for peak traffic load, then system reliability during peak times is improved, but device complexity and deployment costs increase

Engineering Contradiction:
Improvesystem reliabilityVSAvoiddevice complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent implements dynamic dimensioning of system entities based on real-time traffic load conditions. The system automatically adjusts the number of active system entities (e.g., OCS instances) according to current traffic demands, transitioning between peak and off-peak operational modes. This dynamic adaptation allows the system to maintain high reliability during peak times while reducing complexity during off-peak periods, resolving the contradiction between reliability and device complexity.

Inventive Principle:
Principle #15Dynamics

2Device complexity

If system entities are dimensioned for average traffic load, then device complexity is reduced, but system reliability deteriorates during peak times

Engineering Contradiction:
Improvedevice complexityVSAvoidsystem reliability
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The system dynamically scales system entity capacity based on traffic load predictions and real-time conditions. During off-peak times, the system operates with reduced entity count to minimize complexity, while automatically scaling up during predicted peak periods to maintain reliability. This dynamic dimensioning strategy allows the system to achieve both low average complexity and high peak reliability.

Inventive Principle:
Principle #15Dynamics

3Ease of operation

If manual selection of system operational actions is used, then ease of operation is improved, but productivity decreases

Engineering Contradiction:
Improveease of operationVSAvoidproductivity
Core Design Contradiction:
Ease of operationVSProductivity

Solution Approach 1:

The system implements self-service operational action selection through automated utility evaluation. The system controller automatically evaluates candidate actions based on current system conditions and predicted outcomes, selecting the optimal action without requiring manual intervention from operation and maintenance staff. This automation maintains ease of operation while significantly improving productivity through rapid, data-driven decision-making.

Inventive Principle:
Principle #25Self-service

4Productivity

If automated selection of system operational actions is used, then productivity is improved, but device complexity increases

Engineering Contradiction:
ImproveproductivityVSAvoiddevice complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The automated action selection system uses feedback from operational history and outcome data to refine its decision-making. The system learns from past actions and their results, improving its utility evaluation accuracy over time. This feedback mechanism allows the system to achieve high productivity through automated decision-making while managing complexity through intelligent, experience-based algorithms rather than brute-force approaches.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20250274366A1Method, system controller, and computer program for selection of system operational action in a communication system
Publication Date: 2025.08.28 TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
  • US20250274366A1 patent drawing
  • US20250274366A1 patent drawing
  • US20250274366A1 patent drawing

AI summary

There is provided mechanisms for selection of system operational action in a communication system. A method is performed by a system controller. Operation and maintenance data identifying current system conditions in the communication system is obtained. Based on the obtained operation and maintenance data, a set of system operational actions that are candidates to be performed is determined. Each of the system operational actions impacts system operational characteristics of the communication system according to quantitative outcomes with associated probabilities. Each of the system operational actions provides a system operation utility in the communication system. A utility score is determined for each of the system operational actions. The system operational action with highest utility score is selected. Execution of the selected system operational action is initiated in the communication system.