Prequalification Server for Wireless Network Performance Estimation
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Solution Overview
Problem
Potential customers of wireless networks face difficulties in determining the availability and quality of wireless connections due to environmental influences like fading and self-interference, making it hard to pre-qualify for network services.
Innovation Solution
A method and apparatus that involve a pre-qualification server accessing network performance data to estimate the expected level of wireless connection performance based on customer location, providing service and availability information, and suggesting equipment modifications to improve connection quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If wireless network performance data is collected and stored in a database for customer pre-qualification, then customers can determine connection availability and quality, but the system requires complex infrastructure including servers and databases
Solution Approach 1:
The system performs preliminary actions by collecting and storing wireless network performance data at various locations before customers need this information. The pre-qualification server proactively gathers signal strength, data rate, and other performance metrics, stores them in a database, and makes them available for future customer queries, eliminating the need for real-time measurement systems at customer premises.
Solution Approach 2:
A pre-qualification server acts as an intermediary between the wireless network infrastructure and potential customers. This server collects performance data from the network, processes it against customer location inputs, and provides pre-qualified service availability information, simplifying the interaction for both customers and network operators.
2Reliability
If customers are provided with detailed network performance data and equipment suggestions, then connection quality can be improved, but the information processing and analysis complexity increases
Solution Approach 1:
The system implements feedback by comparing customer location against stored performance data and providing equipment suggestions based on the expected level of service. The pre-qualification server analyzes the match between customer requirements and network capabilities, then recommends specific equipment configurations to optimize connection quality, creating a closed-loop system that continuously improves reliability.
Solution Approach 2:
The system changes parameters by providing equipment suggestions that modify physical characteristics such as antenna gain, transmission power, and frequency selection. These parameter changes are recommended based on the analyzed performance data to optimize the wireless connection for specific customer locations and requirements.
3Area of stationary object
If wireless networks operate in environments with fading and multi-path effects, then coverage area can be expanded, but signal quality and transmission reliability deteriorate
Solution Approach 1:
The system performs preliminary measurements of signal strength and data rate at various locations across the network coverage area. By collecting this performance data before customer deployment, the system identifies locations where environmental factors like fading and multi-path effects significantly degrade signal quality, allowing for proactive optimization rather than reactive troubleshooting.
Data Source
AI summary
An apparatus and method of pre-qualifying a potential customer of a wireless network is disclosed. The prequalification includes obtaining a location input by the potential customer, and accessing a wireless network performance database. An expected level of wireless connection performance of the potential customer is estimated based upon the location input by the potential customer, and wireless network performance stored within the network performance database. The expected level of performance is communicated to the potential customer.