Crowd-Sourced 5G Coverage Analysis for Cell-Level Network Optimization
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Solution Overview
Problem
Network operators face challenges in providing consistent 5G coverage due to limited coverage areas, interference from obstacles, and the lack of a standardized testing methodology, making it difficult to deploy networks at scale and compare performance across vendors.
Innovation Solution
A system and method for daily coverage analysis using crowd-sourced data, which includes a data collection module, data analysis module with machine learning for anomaly filtering, and a network optimization module to identify areas with weak or no signal coverage and optimize network performance by deploying infrastructure or adjusting antenna configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If 5G networks operate on high-frequency bands to provide faster data speeds, then data transmission speed is improved, but coverage area is reduced due to shorter wavelengths and limited range
Solution Approach 1:
The patent segments the network coverage analysis into a grid of cells, with each cell independently analyzed for coverage quality. This allows targeted optimization in specific areas without requiring complete network redesign, enabling high-frequency 5G operation while managing coverage limitations through localized cell-level adjustments.
Solution Approach 2:
The patent introduces a spatial dimension to coverage analysis by dividing the geographic area into a grid of cells and analyzing coverage metrics across multiple dimensions (signal strength, interference, throughput). This multi-dimensional approach enables comprehensive coverage optimization for high-frequency 5G networks.
2Quantity of substance
If 5G networks operate on higher frequencies to increase network capacity, then network capacity is improved, but interference from obstacles increases due to susceptibility to buildings, trees, and other obstacles
Solution Approach 1:
The patent implements feedback mechanisms by continuously collecting crowd-sourced data on signal quality, interference levels, and network performance from user devices. This feedback is used to dynamically adjust network parameters and identify areas where obstacle interference degrades high-frequency 5G performance, enabling adaptive optimization of network capacity versus interference resistance.
Solution Approach 2:
The patent changes multiple parameters simultaneously including frequency band, antenna configuration, power levels, and cell density to optimize the balance between network capacity and obstacle interference. By adjusting these parameters at the cell level, the system can maintain high network capacity while mitigating the increased interference susceptibility of high-frequency 5G signals.
3Reliability
If network operators deploy more cell sites and infrastructure to provide consistent 5G coverage, then coverage consistency is improved, but deployment cost and time increase
Solution Approach 1:
The patent performs preliminary coverage analysis using crowd-sourced data to identify areas with poor coverage or high interference before deploying additional infrastructure. This preliminary assessment allows network operators to prioritize deployment locations and adjust antenna configurations in advance, reducing unnecessary infrastructure deployment and accelerating the path to consistent 5G coverage.
Solution Approach 2:
The patent leverages crowd-sourced data from user devices to automatically identify coverage gaps and performance issues without requiring extensive manual field testing. This self-service approach to coverage analysis reduces deployment time and costs by eliminating the need for comprehensive manual site surveys while maintaining accurate identification of areas requiring infrastructure enhancement.
4Measurement precision
If network operators conduct comprehensive coverage testing to ensure consistent coverage, then measurement accuracy is improved, but testing complexity increases due to lack of standardized methodology
Solution Approach 1:
The patent creates a universal testing methodology that uses standardized grid-based coverage analysis applicable across different 5G network configurations and vendor equipment. This universal approach simplifies testing complexity by providing a single framework that works for all 5G networks while maintaining measurement precision through consistent collection and analysis of coverage metrics across the entire service area.
Data Source
AI summary
The present disclosure provides system (108) and method (200) for daily coverage analysis based on crowd source data. The system includes a data collection module to collect data from users across various locations, a data analysis module to analyze the collected data to identify areas with weak or no signal coverage, and a network optimization module to optimize coverage by deploying additional infrastructure or adjusting antenna configurations based on the analyzed data. The system provides valuable insights into network performance and usage trends, helping network operators plan and prioritize network upgrades and investments more effectively. The system provides proactive identification of areas with weak or no signal coverage.