Remote Wireless Performance Measurement via Intermediary Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Measuring radio communication performance in areas with multiple radio base stations is challenging due to interference between nearby stations, requiring extensive personnel and preparation, as well as varying measurement conditions based on antenna number, standard type, and location-specific environments.
Innovation Solution
A method and system where a measurement station collects performance information from radio base stations and terminal stations, generates measurement conditions, and sends control signals to terminal stations to perform remote measurements, allowing for traffic flow and comparison of results, with options for remeasurement, reconnection, or power reboot as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If radio base stations are measured sequentially one by one, then measurement preparation is simplified, but measurement accuracy deteriorates due to interference between nearby base stations
Solution Approach 1:
A measurement server is introduced as an intermediary to coordinate and control the measurement process. The measurement server collects information about multiple base stations, determines optimal measurement conditions, and controls measurement terminals to perform measurements under conditions that account for interference between base stations, thereby achieving accurate measurements without complex manual preparation
Solution Approach 2:
The measurement server dynamically adjusts measurement parameters such as measurement timing, terminal positions, and measurement conditions based on collected base station information. By changing these parameters automatically, the system achieves accurate measurements that account for interference patterns while simplifying the measurement process
2Measurement precision
If radio terminal stations are deployed at multiple locations for comprehensive measurement, then measurement accuracy improves, but operational workload and preparation tasks increase significantly
Solution Approach 1:
Measurement terminals are equipped with automatic functionality to perform measurements at multiple locations without requiring manual deployment. The measurement server automatically controls terminals to move to different positions and perform measurements, eliminating the need for operators to manually set up terminals at various locations while still achieving comprehensive measurement coverage
Solution Approach 2:
The measurement server collects base station information and pre-determines optimal measurement locations and conditions before actual measurements begin. This preliminary planning allows the system to automatically execute measurements at multiple locations without requiring operators to prepare each location manually, reducing operational workload while maintaining measurement accuracy
3Adaptability or versatility
If measurers manually adjust settings for different base station configurations, then measurement adaptability improves, but measurement time and productivity decrease
Solution Approach 1:
The measurement server provides a universal measurement framework that automatically adapts to different base station configurations. By collecting information about various base station types and configurations, the server applies appropriate measurement conditions automatically, eliminating the need for operators to manually adjust settings for each different base station while maintaining adaptability to diverse measurement scenarios
Solution Approach 2:
The measurement server collects information about base station configurations and measurement results, then uses this feedback to automatically adjust measurement conditions for subsequent measurements. This closed-loop approach enables the system to adapt to different base station types automatically without manual intervention, improving both adaptability and measurement efficiency
Data Source
AI summary
A measurement station collects radio base station performance information related to a radio communication performance of each radio base station, radio connection information related to a radio communication performance and a communication status of a corresponding radio terminal station, generates a measurement condition and an expected measurement result based on the radio base station performance information and the radio connection information, and notifies a measurement control signal corresponding to the measurement condition to the radio terminal station through the radio base station; the radio terminal station performs a communication setting of an own station based on the notified measurement control signal, and notifies a measurement preparation status to the measurement station; and the measurement station measures the radio communication performance by causing a flow of a measurement traffic to the radio terminal station through the radio base station, acquiring a measurement result, and determining whether the measurement result is within a range of the expected measurement result.