Cell Site Placement System Using Tile Clustering and Polygon Generation

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Solution Overview

Problem

Current methods for prioritizing cell site deployments in telecommunications networks are manual, time-consuming, and prone to errors, especially for new technologies like 5G, which require precise placement to avoid coverage gaps and additional infrastructure costs.

Innovation Solution

A system that generates tiles for a designated region, classifies them based on deployment zones, clusters relevant tiles, and forms polygons to identify optimal areas for new or additional services or infrastructure using machine learning and statistical classification models.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual methods are used for cell site deployment prioritization, then flexibility in decision-making is maintained, but the process becomes time-consuming and error-prone

Engineering Contradiction:
Improveaccuracy of deployment prioritizationVSAvoidtime required for deployment prioritization
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical processes with an automated computer system that uses machine learning models and statistical classification to perform tile classification, clustering, and polygon generation. This substitution eliminates human error and significantly reduces the time required for deployment prioritization while maintaining or improving accuracy through algorithmic precision.

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

Solution Approach 2:

The system enables self-service automation where the computer automatically performs the entire deployment prioritization process without human intervention. The system classifies tiles, clusters them based on deployment zones, generates polygons, and produces deployment prioritization maps autonomously, freeing operators from manual work while ensuring consistent, error-free results.

Inventive Principle:
Principle #25Self-service

2Productivity

If automated systems are implemented for cell site placement, then processing speed and consistency improve, but system complexity increases

Engineering Contradiction:
Improvespeed of deployment prioritizationVSAvoidcomplexity of automated system
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent segments the complex automated system into distinct functional modules: a tile classification module that categorizes geographic tiles based on deployment zones, a clustering module that groups classified tiles, a polygon generation module that creates geometric representations, and a map generation module that produces visual outputs. This segmentation manages complexity by organizing functions into separate, manageable components while maintaining high productivity through their integrated operation.

Inventive Principle:
Principle #1Segmentation

3Manufacturing precision

If precise placement is required for 5G cell sites, then coverage quality improves, but the difficulty of placement increases

Engineering Contradiction:
Improveprecision of cell site placementVSAvoiddifficulty of identifying optimal placement locations
Core Design Contradiction:
Manufacturing precisionVSDifficulty of detecting and measuring

Solution Approach 1:

The patent replaces manual site selection processes with automated computer-based analysis that uses machine learning models to precisely identify optimal cell site locations. The system processes network performance data, classifies tiles by deployment zones, and generates precise polygon boundaries that define optimal placement areas, achieving high precision while reducing the difficulty of identification through algorithmic analysis.

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

Solution Approach 2:

The patent introduces an intermediary computational layer between raw network data and final placement decisions. The system uses classified tiles and generated polygons as intermediaries that translate complex network performance metrics into clear, actionable deployment zones, making it easier to identify precise placement locations without manual analysis of raw data.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS11082862B1Cell site placement system
Publication Date: 2021.08.03 AT&T INTELLECTUAL PROPERTY I L P
  • US11082862B1 patent drawing
  • US11082862B1 patent drawing
  • US11082862B1 patent drawing

AI summary

A device includes a processor and a memory. The processor effectuates operations including generating a plurality of tiles for a designated region and classifying each of the plurality of tiles based on whether each tile is associated with a deployment zone. The operations further including clustering locations associated with one or more tiles of the plurality of tiles, wherein the one or more tiles are classified as being associated with the deployment zone, wherein the clustering generates at least one vertex. The operations further including forming a polygon based on the at least one vertex. The operations further including providing a map of the designated region including the polygon at a location in the map associated with the deployment zone, wherein the deployment zone is one or more areas of service within the designated region that are prioritized for new or additional services, or infrastructure based on design criteria.