Handover Parameter Optimization via Mobility Robustness Feedback

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

In LTE telecommunication systems, the lack of a central radio network controller for handover decisions leads to inconsistencies and complexity in optimizing handover parameters across different base stations from various vendors, making it difficult to ensure consistent handover behavior and react to quick changes in the handover environment.

Innovation Solution

A method and apparatus that collect and analyze measurements from successful handovers to estimate handover failure probability and adjust parameters dynamically, using a Mobility Robustness Optimization algorithm to compare the probability with a target failure rate and modify handover parameters accordingly.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If handover decisions are made by distributed base stations in LTE, then system architecture is simplified and scalability is improved, but consistency and reliability of handover parameters across different vendors deteriorates

Engineering Contradiction:
Improvesystem architectureVSAvoidhandover parameter consistency
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The patent implements a feedback mechanism where base stations report handover success/failure statistics back to the network. This feedback loop enables the network to collect real-world performance data and adjust handover parameters accordingly, ensuring consistent behavior across different vendors while maintaining the simplified distributed architecture.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent creates a universal handover optimization framework that works across multiple vendor implementations. By establishing common measurement and reporting mechanisms, the system achieves multi-functionality in handling handovers from different base station vendors, ensuring parameter consistency without requiring vendor-specific centralized control.

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

2Measurement precision

If handover parameters are optimized manually, then control precision is improved, but response time to environmental changes deteriorates

Engineering Contradiction:
Improveparameter optimization precisionVSAvoidresponse time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent enables the network to self-optimize handover parameters by automatically analyzing handover success/failure reports from base stations. The system performs self-diagnosis and self-adjustment based on real-world performance data, eliminating the need for manual optimization while maintaining precision and enabling rapid response to environmental changes.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The automated feedback mechanism continuously monitors handover performance and triggers parameter adjustments when failures are detected. This closed-loop system provides both precise optimization based on actual performance data and rapid response to changing network conditions, resolving the contradiction between precision and response time.

Inventive Principle:
Principle #23Feedback

3Reliability

If handover failures are used to trigger parameter adjustments, then parameter optimization is improved, but system stability deteriorates due to slow update rate

Engineering Contradiction:
Improveparameter optimizationVSAvoidparameter update frequency
Core Design Contradiction:
ReliabilityVSDuration of action of stationary object

Solution Approach 1:

The patent establishes a feedback mechanism that continuously collects handover performance data from base stations. By monitoring success/failure rates in real-time, the system can detect degradation trends and trigger parameter adjustments proactively, maintaining both optimization effectiveness and system stability through timely updates.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs preliminary analysis of handover statistics to predict potential failures before they occur. By detecting patterns in handover success/failure rates, the network can preemptively adjust parameters to prevent failures, maintaining stability while enabling continuous optimization without waiting for actual failures to trigger updates.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS9357464B2Arrangement and method for optimising handling of handovers in telecommunication systems
Publication Date: 2016.05.31 HUAWEI TECH CO LTD
  • US9357464B2 patent drawing
  • US9357464B2 patent drawing
  • US9357464B2 patent drawing

AI summary

An apparatus configured to operate in a telecommunications network comprising a first base station configured to serve at least a first cell and a second base station configured to serve at least a second cell, wherein said apparatus comprises a controller configured to receive measurements related to a successful handover of a user equipment from a first cell to a second cell, wherein said measurements relate to measurements being taken before and/or during said handover.