Geotagged Antenna Adjustment for Wireless Network Performance
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Solution Overview
Problem
Conventional network optimization methods fail to utilize geolocation information and lower/upper layer metrics effectively, leading to suboptimal network performance and user experience.
Innovation Solution
A system and method that utilizes geotagged data samples from user devices to determine antenna adjustments, predicting performance improvements by integrating geolocation with lower and upper layer measurements for network tuning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If geolocation information and lower/upper layer metrics are integrated for network optimization, then network performance and user experience are improved, but data availability and collection complexity are reduced
Solution Approach 1:
The system enables user devices to automatically collect and report geolocation information, signal strength, signal quality, download speed, and latency metrics without requiring manual intervention. The devices self-service the data collection process by integrating with applications already running on the devices, eliminating the need for separate dedicated measurement tools.
Solution Approach 2:
The optimization system integrates multiple data collection functions into a single platform that handles geolocation tracking, signal measurement, performance metric collection, and optimization recommendation generation. This multi-functional approach consolidates what would otherwise require separate systems for each measurement type.
2Measurement precision
If geotagged data samples from multiple user devices are collected, then measurement precision is improved, but loss of information increases
Solution Approach 1:
The system merges data from multiple user devices measuring the same cell, combining geolocation information, signal strength, signal quality, download speed, and latency metrics into unified geotagged data samples. This aggregation of multiple measurements improves statistical accuracy while the system manages to preserve all relevant information through structured data collection.
Solution Approach 2:
The system implements feedback mechanisms where optimization recommendations are generated based on collected data, then applied to network configuration, and subsequent measurements verify the improvements. This closed-loop feedback ensures continuous refinement of measurements and maintains data quality throughout the optimization process.
Data Source
AI summary
A system for network optimization using geo-data may access a set of geotagged data samples associated with a cell. The set of geotagged data samples may be obtained from an application associated with one or more user equipment associated with the cell and the cell includes at least one antenna. The system may also determine a metric associated with the cell based on the set of geotagged data samples, generate one or more antenna adjustments based on the metric, and predict, based on the one or more antenna adjustments, a performance improvement associated with the cell.