Cellular Azimuth Planning Using Geospatial Density Analysis

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Solution Overview

Problem

Conventional network planning for cellular networks is complex, manual, and inefficient, leading to challenges in azimuth estimation and network coverage optimization due to undefined planning processes, siloed approaches, and the inability to scale, resulting in network coverage issues and cell overlaps.

Innovation Solution

A system and method that automates azimuth estimation by creating cones around nominal points, analyzing infrastructure density, and calculating azimuth differences between sectors to optimize antenna placement, considering infrastructure density and reducing manual effort.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional manual network planning is used, then engineers can perform detailed analysis, but the process becomes complex and time-consuming with huge man-hours required

Engineering Contradiction:

Improveazimuth estimation accuracyVSAvoidplanning time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs automated azimuth estimation by having the processor independently analyze geospatial data, identify infrastructure elements, and calculate optimal antenna orientations without requiring manual engineer intervention for each calculation, thereby reducing planning time while maintaining accuracy

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical manual process of azimuth estimation with an automated computational system that uses processors to analyze geospatial data and calculate antenna orientations, eliminating the need for manual measurements and calculations

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If conventional network planning is used, then detailed analysis can be performed, but the process is cumbersome and cannot scale

Engineering Contradiction:

Improvecoverage analysis accuracyVSAvoidplanning throughput

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The automated system independently performs coverage analysis by processing geospatial data and calculating signal propagation patterns without requiring manual engineer intervention, enabling the system to handle multiple sites simultaneously and scale productivity while maintaining analysis accuracy

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system divides the network planning process into discrete automated tasks including geospatial data processing, infrastructure identification, coverage calculation, and azimuth determination, allowing each segment to be processed independently and in parallel to improve overall productivity

Inventive Principle:

Principle #1Segmentation

3Reliability

If manual data collection and pre-processing is performed, then accurate input data can be obtained, but huge man-hours are required for collecting and pre-processing data

Engineering Contradiction:

Improvedata accuracyVSAvoiddata preparation time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system replaces manual data collection and pre-processing with automated computational processes that retrieve geospatial data from databases and processors, automatically validate data quality, and prepare input data for azimuth estimation without manual intervention, thereby maintaining data accuracy while eliminating time-consuming manual preparation

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs preliminary automated processing of geospatial data including validation, filtering, and organization before the main azimuth estimation process, ensuring data accuracy is established early while reducing the time required during the actual planning phase

Inventive Principle:

Principle #10Preliminary action

4Measurement precision

If conventional planning tools are used, then engineers can perform analysis, but the approach is siloed and requires steep learning curves

Engineering Contradiction:

Improvesite selection accuracyVSAvoidsystem usability

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The integrated system performs multiple functions including geospatial data processing, infrastructure identification, coverage analysis, and azimuth estimation within a single unified platform, eliminating the need for multiple separate tools and reducing the learning curve while maintaining site selection accuracy

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent combines previously siloed planning functions into a single integrated automated system that handles data collection, analysis, and decision-making in one unified process, improving ease of operation by eliminating the need to switch between multiple tools while preserving analytical precision

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS20260012807A1System and method for azimuth estimation

Publication Date: 2026.01.08 JIO PLATFORMS LTD

AI summary

The present disclosure envisages a system (110) and a method (300) for azimuth planning The system (110) automates the process of azimuth estimation by providing a simple web interface where a user (102) can provide input site locations 5 pertaining to multiple site locations. The system (110) utilizes multiple site locations and automatically generates azimuth estimation and planning. The system (110) automates the entire process of ingesting huge crowdsource data, geospatial data, generating predictions and an analysis for estimating optimal sites during network planning.