5G Network Coverage Optimization via Call Data Analysis
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Solution Overview
Problem
Current methods for improving wireless communication network coverage and capacity are resource-intensive and time-consuming, particularly in large geographic areas, necessitating a more efficient approach for optimizing cell coverage and capacity.
Innovation Solution
A coverage analysis tool that utilizes geolocated call data to identify under-shooter or over-shooter cells by analyzing radio frequency properties and distances between serving cells and neighbor cells, recommending corrective actions such as antenna tilt adjustments or power changes to optimize cell coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If drive testing is used to measure and assess network coverage, then coverage quality can be evaluated, but the process becomes expensive, time consuming, and resource intensive
Solution Approach 1:
The patent uses existing call detail records (CDR) as a copy or substitute for actual drive testing data. Instead of physically driving through areas to measure coverage, the system analyzes recorded call data that already exists from normal network operations, providing coverage assessment without the time and resource costs of traditional drive testing
Solution Approach 2:
The network system uses its own operational data (call detail records) to perform self-assessment of coverage quality. The network generates and analyzes its own performance data automatically during normal operations, eliminating the need for external drive testing resources
2Reliability
If drive testing is performed to assess network coverage, then coverage issues can be identified, but the process requires significant resources and is costly
Solution Approach 1:
The system replaces complex physical drive testing equipment and processes with automated analysis of existing call detail records. The CDR data serves as a digital copy that contains sufficient information to assess coverage reliability without requiring physical presence or specialized testing equipment
Solution Approach 2:
The patent replaces the mechanical drive testing process (physical vehicles, equipment, and personnel) with an automated computational system that processes call detail records electronically, significantly reducing device complexity and resource requirements while maintaining assessment reliability
3Manufacturing precision
If traditional methods are used to optimize cell coverage, then coverage improvements can be achieved, but the process is time consuming and resource intensive
Solution Approach 1:
The system automatically identifies under-shooter and over-shooter cells by analyzing call detail records, and generates recommendations without requiring manual drive testing or analysis. This self-service approach maintains precision while dramatically increasing productivity by eliminating manual processes
Solution Approach 2:
The system can continuously analyze call detail records as they are generated during normal network operations, allowing for ongoing coverage optimization rather than periodic manual assessments. This continuous operation maintains precision while improving productivity through automated, uninterrupted analysis
Data Source
AI summary
The described technology provides a system and method for identifying cells in a wireless communication network for corrective action to improve coverage and capacity of the network. A coverage analysis tool receives network traffic information, extracts call or data traffic information for a particular radio access technology (RAT), and determines based on radio frequency (RF) information and distances between serving cells and call data, and serving cells and adjacent neighbor cells, whether the serving cells are over-shooter or under-shooter cells. The coverage analysis tool recommends remedial action to improve the network's coverage and capacity including adjusting antenna tilt and/or adjusting transmit power.