Signal Attenuation Module for Wireless Network Testing
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Solution Overview
Problem
Wireless network performance verification often fails to match assumed channel conditions during testing, leading to discrepancies between testing-plan and testing-scenario conditions.
Innovation Solution
A method and system that emulate testing-plan channel conditions by identifying data-rate thresholds and channel conditions, selecting an attenuation offset based on comparisons between testing-scenario and testing-plan conditions, and measuring data rates with a signal-attenuation module to ensure compliance with testing plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If drive testing is conducted in actual field conditions, then real-world network performance can be measured, but the channel conditions do not match the assumed testing-plan conditions
Solution Approach 1:
A signal attenuation module is introduced as an intermediary device between the wireless network and the testing equipment. This module applies controlled attenuation to the received signal, acting as a mediator that adjusts the signal strength to match expected conditions. By using this intermediary, the system can bridge the gap between actual field conditions and planned testing conditions, allowing accurate verification of network performance under specified channel conditions.
Solution Approach 2:
The system dynamically changes the attenuation parameter of the received signal based on the difference between actual and expected channel conditions. By adjusting the attenuation level in real-time, the system transforms the actual channel conditions to match the planned testing conditions. This parameter adjustment allows the testing equipment to measure network performance as if the expected channel conditions were present, resolving the mismatch between actual and planned conditions.
2Measurement precision
If signal attenuation is applied to emulate expected conditions, then channel condition matching is improved, but system complexity increases
Solution Approach 1:
The signal attenuation functionality is extracted as a separate, dedicated module that can be independently controlled and adjusted. By taking out the attenuation function as a distinct component, the system manages complexity through modularity. The attenuation module can be configured based on specific testing requirements without affecting other parts of the testing system, allowing precise channel condition matching while maintaining manageable system complexity through functional separation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for accurate emulation of testing-plan channel conditions, ensuring that wireless network performance meets specified metrics by adjusting signal attenuation in real-time to account for differences between assumed and actual channel conditions, thereby validating network coverage and data throughput.
Implementation Method 1
a signal-attenuation module coupled inline in a receive path between the antenna structure and the modem
Data Source
AI summary
Disclosed herein are methods and systems for emulating testing-plan channel conditions in wireless networks. One embodiment takes the form of a process that includes identifying a data-rate threshold and one or more testing-plan channel conditions. The process also includes identifying testing-scenario channel conditions corresponding to the testing-plan channel conditions. The process also includes selecting an attenuation offset based on a comparison of the one or more identified testing-scenario channel conditions to the one or more identified testing-plan channel conditions. The process also includes measuring a data rate with a testing-scenario attenuation level set equal to the selected attenuation offset. The process also includes storing testing-plan-compliance data associated with the measured data rate and the data-rate threshold.