Wireless Channel Qualification via Error Rate and Field Strength
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for qualifying transmission quality in frequency channels, particularly in wireless communication systems using frequency hopping, are unreliable in determining interference sources due to non-frequency-selective high bit or data packet error rates, leading to incorrect channel masking and reduced usable frequency channels.
Innovation Solution
A method that measures both data packet error rates and field strength, using an RSSI measurement to compare against threshold values, allowing accurate determination of interference and reliable channel selection by distinguishing between actual interference and distance-related errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If bit error rate or data packet error rate measurement is used alone for channel qualification, then interference detection can be performed, but incorrect channel masking occurs due to distance-related errors being misidentified as interference
Solution Approach 1:
The patent combines bit error rate measurement and field strength measurement into a unified channel qualification process. By merging these two measurement approaches, the system can distinguish between interference-induced errors and distance-related signal attenuation, thereby improving both reliability and precision of interference detection.
Solution Approach 2:
Field strength measurement serves as an intermediary indicator to differentiate between interference and distance effects. The field strength value acts as a mediator that, when combined with error rate data, enables accurate identification of whether high error rates are caused by interference or by weak signal conditions due to distance.
2Object-affected harmful factors
If frequency channels are masked out based on high error rates, then interference channels are blocked, but usable channels are reduced due to false masking from distance-related errors
Solution Approach 1:
The patent merges error rate assessment with field strength assessment to make channel masking decisions. This combination allows the system to maintain adaptability by avoiding false masking of usable channels while still effectively blocking interfered channels, thus preserving more usable frequency channels.
Solution Approach 2:
The patent changes the decision parameters for channel masking from relying solely on error rates to using a combined evaluation of error rates and field strength. This parameter change enables more accurate discrimination between interference and distance effects, reducing false masking and increasing channel availability.
3Loss of information
If field strength measurement is performed when the connection is inactive, then channel usage information can be obtained, but real-time interference assessment is delayed
Solution Approach 1:
The patent enables continuous field strength measurement during active data transmission, eliminating the need to wait for connection inactivity. This continuous measurement approach ensures real-time interference assessment without losing channel usage information, maintaining both timeliness and information completeness.
Solution Approach 2:
The patent performs field strength measurement simultaneously with error rate measurement during active connections, rather than waiting for connection inactivity. This preliminary action during the active state ensures real-time interference detection without delaying assessment.
Data Source
AI summary
In a method for qualification of a frequency channel in a wire-free communication system, data is transmitted on different frequency channels by means of an adaptive frequency hopping method. The transmission and reception are carried out in time slots using a time slot method which is based on the radio standard. In order to qualify the transmission quality of the frequency channels, data packet error rates and/or bit error rates and the field strength of the received data signal are measured, and the measured field strength is compared with a threshold value field strength in order to make a selection decision.

