Cell Identifier Reassignment for Handover Failure Control

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Solution Overview

Problem

Non-optimal allocation of cell identifier codes in cellular communications networks leads to handover failures due to overlapping frequency-cell identifier code pairs, particularly in densely populated areas or near borders, causing unreliable handovers and reduced network performance.

Innovation Solution

An automated method to analyze handover failures and adjust cell identifier codes by removing erroneous neighbors and setting new codes for cells with excessive failures, using a predefined threshold to ensure systematic and infrequent changes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If cell identifier codes are allocated to cells in close proximity, then the network can serve more users in dense areas, but handover failures increase due to conflicts in frequency-cell identifier code pairs

Engineering Contradiction:
Improvenetwork capacityVSAvoidhandover success rate
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The system dynamically changes cell identifier codes (PCI/SC) based on detected handover failure patterns. When conflicts are identified between neighboring cells, the system automatically reassigns different identifier codes to resolve the conflict, thereby maintaining network capacity while improving handover reliability.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The system implements a feedback mechanism that monitors handover failure rates between cell pairs. When the failure rate exceeds a threshold, the system triggers an analysis and reconfiguration process, then verifies the improvement after reassignment. This closed-loop feedback ensures that identifier code allocations continuously adapt to maintain optimal handover performance.

Inventive Principle:
Principle #23Feedback

2Reliability

If cell identifier codes are frequently changed to resolve handover failures, then handover reliability improves, but network stability deteriorates due to unpredictable changes

Engineering Contradiction:
Improvehandover success rateVSAvoidnetwork configuration stability
Core Design Contradiction:
ReliabilityVSStability of the object's composition

Solution Approach 1:

The system performs preliminary analysis of handover failure patterns before making any changes. It collects statistical data over time, identifies persistent conflict patterns, and only then proceeds with identifier code reassignment. This preliminary action ensures that changes are made only when necessary and predictable, based on established failure patterns rather than random fluctuations.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements dynamic identifier code assignment that adapts to changing network conditions. Rather than static allocations, the system continuously monitors handover performance and adjusts identifier codes in response to detected patterns, creating a dynamically stable configuration that maintains reliability while adapting to network evolution.

Inventive Principle:
Principle #15Dynamics

3Manufacturing precision

If manual analysis of handover failures is performed to identify erroneous neighbors, then allocation accuracy improves, but operation time increases

Engineering Contradiction:
Improveidentifier code allocation accuracyVSAvoidnetwork optimization time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The system performs self-service by automatically monitoring its own handover performance, identifying conflict patterns, and executing reconfiguration without external intervention. The network autonomously collects data, analyzes failure patterns, determines erroneous neighbor relationships, and implements corrections, eliminating the need for manual analysis while maintaining high allocation accuracy.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system replaces manual mechanical analysis processes with automated electronic monitoring and analysis. Instead of human operators manually examining handover logs and identifying conflicts, the system uses automated algorithms to process handover data, detect patterns, and determine erroneous neighbors, dramatically reducing the time required while improving accuracy through consistent algorithmic analysis.

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

Data Source

PatentUS12634775B2Controlling communications network
Publication Date: 2026.05.19 ELISA OYJ
  • US12634775B2 patent drawing
  • US12634775B2 patent drawing
  • US12634775B2 patent drawing

AI summary

A computer implemented method for controlling a communications network. It is checked whether amount of handover failures from a first cell to a second cell exceeds a first threshold. Responsive to identifying that the amount of handover failures from the first cell to the second cell exceeds (301) the first threshold, a new cell identifier code is set (306) for the second cell in the communication network.