Self-Organizing Network Resource Allocation for Frequency Congestion

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Solution Overview

Problem

Self-Organizing Networks (SON) face bandwidth constraints in certain frequency ranges due to increased network usage, particularly when public service entities utilize designated frequencies, leading to congestion and reduced user satisfaction.

Innovation Solution

A common Application Programming Interface (API) for SON tools enables multiple components to communicate and generate updated network configurations based on performance indicators, transitioning users from congested frequency ranges to less congested ones, while preventing return to the original range to ensure availability for public service entities.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If public service entities use designated frequency ranges, then availability for public service is improved, but network congestion increases and user satisfaction deteriorates

Engineering Contradiction:
Improveavailability for public service entitiesVSAvoiduser satisfaction
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The frequency spectrum is segmented into multiple frequency ranges, allowing the system to divide users across different segments. When public service entities occupy a designated frequency range, the system segments remaining users into other available frequency ranges, preventing congestion in any single segment while ensuring public service availability.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The network dynamically reallocates users between frequency ranges based on real-time conditions. When public service entities begin using a designated frequency range, the system dynamically transitions affected users to alternative frequency ranges, maintaining both public service reliability and overall network productivity through adaptive resource management.

Inventive Principle:
Principle #15Dynamics

2Productivity

If users are transitioned to different frequency ranges, then network congestion is reduced, but system complexity increases

Engineering Contradiction:
Improvenetwork efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system implements a universal SON tool architecture that can perform multiple functions: monitoring performance indicators, determining congestion conditions, transitioning users between frequency ranges, and preventing return to congested ranges. This multi-functional approach reduces overall system complexity compared to having separate specialized tools for each function.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system enables self-service through automatic user transition and prevention mechanisms. When congestion is detected in a frequency range used by public service entities, the system automatically transitions affected users to alternative ranges and implements prevention mechanisms to block return to congested ranges, eliminating the need for manual intervention and reducing operational complexity.

Inventive Principle:
Principle #25Self-service

3Productivity

If congestion management mechanisms are implemented, then network performance is optimized, but ease of operation deteriorates

Engineering Contradiction:
Improvenetwork performanceVSAvoidoperational simplicity
Core Design Contradiction:
ProductivityVSEase of operation

Solution Approach 1:

The congestion management system operates autonomously by automatically monitoring performance indicators, determining when congestion occurs in frequency ranges used by public service entities, transitioning affected users to alternative ranges, and implementing prevention mechanisms. This self-service operation optimizes network performance while maintaining operational simplicity by eliminating the need for manual management interventions.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system continuously monitors performance indicators and uses this feedback to automatically adjust user allocations across frequency ranges. When congestion is detected, the feedback loop triggers automatic user transition and prevention mechanism activation, optimizing network performance through real-time adjustments without requiring manual operational intervention.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS9860818B2Resource allocation for self-organizing networks
Publication Date: 2018.01.02 T MOBILE US INC
  • US9860818B2 patent drawing
  • US9860818B2 patent drawing
  • US9860818B2 patent drawing

AI summary

A self-organizing network includes one or more tools. Such tools may be configured to determine, based on one or more performance indicators, that network usage in a first portion of a frequency spectrum satisfies a first usage threshold of the first portion. Such tools may also be configured to transition, in response to the determining, the plurality of users from the first portion to a second portion of the frequency spectrum different from the first portion. Such tools may further be configured to hinder the plurality of users from returning to the first portion from the second portion.