Interlayer Handover Parameter Optimization in Wireless Networks

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Solution Overview

Problem

Optimizing interlayer handover configuration parameters in wireless cellular communications networks is challenging due to varying interference and propagation conditions, leading to sub-optimal performance and the need for costly field trials, which are difficult to quantify and often result in conservative parameter selection.

Innovation Solution

Retrieving performance information from an Operation and Support System (OSS) using Key Performance Indicators (KPIs) and averaging it over time to generate new configuration parameters for interlayer handovers, which are applied cell-by-cell, allowing for peak network quality and performance without extensive field trials.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If a generic set of configuration parameters is utilized for all cell sites, then the complexity of parameter optimization is reduced, but network performance and quality become sub-optimal

Engineering Contradiction:

Improveparameter optimization complexityVSAvoidnetwork performance

Core Design Contradiction:

Device complexityVSReliability

Solution Approach 1:

The patent applies local quality by transitioning from generic network-wide parameters to cell-specific parameters. Each cell's configuration parameters are optimized individually based on its unique propagation conditions, interference environment, and traffic characteristics. This allows each cell to operate at peak performance while the overall system complexity remains manageable through automated optimization.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The optimization system performs self-service by automatically analyzing network performance data and generating optimized parameters without requiring manual field trials. The system uses real-time measurements and simulations to self-adjust parameters, eliminating the need for costly and time-consuming manual tuning while achieving superior performance.

Inventive Principle:

Principle #25Self-service

2Measurement precision

If field trials are conducted to tune configuration parameters, then parameter accuracy may be improved, but the cost and time required increase significantly

Engineering Contradiction:

Improveparameter accuracyVSAvoidtuning time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary action by conducting virtual field trials through simulations before deploying parameters to the live network. Performance measurements are collected and analyzed in advance, allowing the system to predict parameter effects and optimize configurations without interrupting normal network operations or requiring physical field testing.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent uses copying by creating virtual models of network cells and their propagation environments. These digital twins allow for extensive parameter testing and optimization in a risk-free simulation environment, producing accurate results without the time and cost constraints of physical field trials. The optimized parameters are then copied to the actual network deployment.

Inventive Principle:

Principle #26Copying

3Stability of the object's composition

If conservative parameter selection is used during tuning, then network stability is maintained, but achievable performance is limited

Engineering Contradiction:

Improvenetwork stabilityVSAvoidnetwork capacity

Core Design Contradiction:

Stability of the object's compositionVSProductivity

Solution Approach 1:

The system applies dynamics by implementing adaptive parameters that automatically adjust to changing network conditions. Rather than using fixed conservative values, the optimization system continuously monitors performance metrics and dynamically tweaks parameters to maintain stability while maximizing capacity. This allows the network to operate at peak performance during favorable conditions while automatically retreating to conservative settings when instability is detected.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS9179386B1Optimization of interlayer handovers in multilayer wireless communication networks

Publication Date: 2015.11.03 ERICSSON INC

AI summary

Technologies are described herein for parameter optimization of at least one interlayer handover in a multilayer wireless cellular communication network. Performance information for the communication network is retrieved. The retrieved performance information for the communication network is then averaged over a predetermined period of time. A determination is made based on the performance information as to whether optimization of the communication network is required. If so, the interlayer handover is optimized by capturing a current set of configuration parameters for the interlayer handover, generating a new set of configuration parameters for the interlayer handover based on the retrieved performance information and the current set of configuration parameters, and applying the new set of configuration parameters to the communication network.