Automated Neighbor Frequency List Generation for SON Handovers

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Solution Overview

Problem

Configuring frequency objects for wireless stations is a manual, time-consuming, and error-prone process, leading to potential handover failures and network congestion, especially when new wireless station sites and carrier frequencies are introduced, necessitating an automated solution for ensuring seamless mobility across neighboring cells.

Innovation Solution

An automated system generates neighbor frequency lists based on the transmitting frequencies and configurations of nearby wireless stations, using a self-organizing network (SON) algorithm to programmatically review and adjust sector carrier configurations, ensuring correct frequency object settings without human intervention.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If manual configuration of frequency objects is performed, then configuration accuracy can be ensured, but time consumption and error probability increase significantly

Engineering Contradiction:
Improveconfiguration accuracyVSAvoidtime consumption
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The system enables self-service through automated frequency object configuration. The computing device automatically generates neighbor frequency lists by analyzing transmitting frequencies and configurations of nearby wireless stations, eliminating the need for manual configuration while maintaining accuracy through algorithmic processing of network parameters.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical manual configuration process with an automated computational system. The computing device uses algorithms to process network data, generate frequency lists, and update configurations programmatically, substituting human operators with automated information processing and decision-making systems.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If manual configuration is used for new wireless station sites, then configuration control is maintained, but handover failures and network congestion increase

Engineering Contradiction:
Improvehandover success rateVSAvoidconfiguration complexity
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system performs self-configuration by automatically generating neighbor frequency lists when new wireless stations are deployed. The computing device analyzes the transmitting frequencies and configurations of nearby stations and programmatically configures the new station's frequency objects, ensuring reliability without increasing operational complexity.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent implements preliminary action by pre-generating neighbor frequency lists based on analyzing transmitting frequencies and configurations of nearby wireless stations before handover operations. This proactive configuration ensures that frequency objects are correctly set up in advance, preventing handover failures and network congestion.

Inventive Principle:
Principle #10Preliminary action

3Productivity

If automated frequency object configuration is implemented, then time efficiency improves, but configuration accuracy may deteriorate

Engineering Contradiction:
Improveconfiguration speedVSAvoidconfiguration accuracy
Core Design Contradiction:
ProductivityVSManufacturing precision

Solution Approach 1:

The patent replaces manual configuration with an automated computing device that uses algorithms to process network parameters and generate frequency lists. This substitution maintains accuracy by systematically analyzing transmitting frequencies and configurations of nearby wireless stations, eliminating human errors while improving configuration speed.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system incorporates feedback mechanisms by programmatically reviewing sector carrier configurations and comparing them against generated neighbor frequency lists. This closed-loop approach ensures configuration accuracy is maintained through automated validation and adjustment, preventing errors while enabling rapid deployment.

Inventive Principle:
Principle #23Feedback

4Adaptability or versatility

If manual configuration processes are used, then system simplicity is maintained, but adaptability to network changes decreases

Engineering Contradiction:
Improvenetwork adaptabilityVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system achieves adaptability through self-service automation. When new wireless station sites or carrier frequencies are introduced, the computing device automatically detects changes, analyzes transmitting frequencies and configurations of nearby stations, and updates frequency objects without human intervention, enabling the network to adapt dynamically to changes.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent implements dynamics by enabling the system to adapt configuration parameters in real-time based on network changes. The automated generation of neighbor frequency lists allows the system to dynamically respond to new wireless stations and frequency allocations, transforming a static manual process into a dynamic adaptive system.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS11496939B2System and method for frequency object enablement in self-organizing networks
Publication Date: 2022.11.08 VERIZON PATENT & LICENSING INC
  • US11496939B2 patent drawing
  • US11496939B2 patent drawing
  • US11496939B2 patent drawing

AI summary

Systems and methods provide automated generation of neighbor frequency lists for configuration of frequency objects for wireless stations. A computing device selects a target sector carrier of a wireless station of multiple wireless stations in a radio access network and identifies, based on distances from the wireless station, neighboring sector carriers of the target sector carrier. The computing device filters the neighboring sector carriers based on an azimuth of the target sector carrier to form a filtered set of neighboring sector carriers. The computing device calculates a probability of neighboring frequencies for the target sector carrier based on locations of the filtered set of neighboring sector carriers and generates, based on the calculating, a neighbor frequency list for the target sector carrier. The neighbor frequency list is used to configure frequency objects, for the target sector carrier, that ensure seamless handovers within the radio access network.