WLAN Access Point Deployment Automation via Coverage Cost Modeling

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Solution Overview

Problem

The manual adjustment of WLAN AP deployment positions and configurations leads to increased costs and poor network performance due to random deployment, lacking an efficient planning mechanism.

Innovation Solution

A method and system that automatically determine the deployment scheme of WLAN APs by combining coverage information and cost information using a WLAN competition model, eliminating the need for manual adjustment and optimizing deployment costs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual adjustment is used to determine AP deployment positions and configurations, then flexibility in deployment is maintained, but costs increase and network performance deteriorates due to random deployment

Engineering Contradiction:

Improvedeployment flexibilityVSAvoidnetwork performance

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The system performs self-service by automatically determining optimal AP deployment positions and configurations through computer-based calculation using coverage data, capacity data, and floor planning data, eliminating the need for manual adjustment while ensuring optimal network performance

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical/manual adjustment process with an automated computer-based system that uses algorithms to calculate optimal AP deployment, substituting human operation with automated computational methods to improve both efficiency and network performance

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Ease of manufacture

If manual adjustment is used to determine AP deployment positions and configurations, then deployment can be performed, but costs become limitless

Engineering Contradiction:

Improvedeployment capabilityVSAvoiddeployment cost

Core Design Contradiction:

Ease of manufactureVSQuantity of substance

Solution Approach 1:

The system automatically determines optimal AP deployment positions and configurations through computer-based calculation, eliminating the need for costly manual adjustment processes while maintaining full deployment capability

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual deployment adjustment with automated computational algorithms that calculate optimal positions based on coverage and capacity requirements, substituting expensive manual processes with cost-effective automated systems

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If random deployment is used for APs, then deployment speed is fast, but network performance decreases and manageability becomes poor

Engineering Contradiction:

Improvedeployment speedVSAvoidnetwork performance

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system performs preliminary action by pre-calculating optimal AP deployment positions and configurations using coverage data, capacity data, and floor planning data before actual deployment, ensuring both speed and optimal network performance without random placement

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces random deployment with automated algorithm-based position determination that rapidly calculates optimal locations based on mathematical models of coverage and capacity, substituting random placement with computationally-determined optimal positions

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS8705405B2Method and system for obtaining a deployment scheme of wireless local area network access points

Publication Date: 2014.04.22 HUAWEI TECH CO LTD

AI summary

A method for obtaining a deployment scheme of Wireless Local Area Network (WLAN) Access Points (APs) is provided. The method includes obtaining coverage information of each AP according to a WLAN competition model and deployment information; and combining a constraint relationship between the coverage information of each AP and cost information of each AP, and obtaining the deployment scheme of the APs through calculation. A device and a system are further provided, so as to automatically obtain a deployment scheme of APs, and control the cost.