Wireless Interference Detection via Signal Correlation
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Solution Overview
Problem
Wireless communication in mobile devices is susceptible to interference and deteriorating channel conditions, leading to reduced network performance, which existing error correction mechanisms and adaptation protocols struggle to effectively address.
Innovation Solution
Collecting and analyzing information on error rates and received signal strength to proactively identify and adapt to interference and deteriorating channel conditions, such as adjusting transmission power, data rate, and error correction coding, to maintain reliable communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If error correction redundancy is increased to correct more errors, then communication reliability is improved, but data rate is reduced
Solution Approach 1:
The patent implements dynamic adaptation of error correction redundancy based on real-time channel conditions. The system monitors error rates and signal strength, then adjusts the amount of redundancy added to packets accordingly. When channel conditions are good, less redundancy is used to maintain high data rates. When conditions deteriorate, redundancy is increased to maintain reliability, resolving the contradiction between reliability and data rate through dynamic parameter adjustment.
Solution Approach 2:
The system changes the parameter of error correction redundancy dynamically based on measured channel conditions. By monitoring error rates and signal strength indicators, the system adjusts the redundancy level (parameter) to optimize the trade-off between communication reliability and data rate, allowing the system to adapt to varying channel quality without manual intervention.
2Reliability
If transmission power is increased to overcome interference, then communication reliability is improved, but power consumption is increased
Solution Approach 1:
The patent implements dynamic adjustment of transmission power based on real-time channel conditions. The system monitors signal strength and error rates, then adapts the transmit power level accordingly. When channel conditions are good or interference is low, power is reduced to minimize consumption. When conditions deteriorate or interference increases, power is increased to maintain reliability, resolving the contradiction between reliability and power consumption through dynamic adaptation.
Solution Approach 2:
The system uses feedback from channel condition monitoring (signal strength measurements and error rate detection) to adjust transmission power. The receiver provides feedback about channel quality, and the transmitter adjusts power based on this feedback, creating a closed-loop control system that optimizes the trade-off between communication reliability and power consumption.
3Productivity
If data rate is increased to improve productivity, then communication speed is improved, but susceptibility to interference is increased
Solution Approach 1:
The patent implements dynamic adaptation of data rate based on real-time channel conditions. The system monitors error rates and signal strength, then adjusts the modulation and coding scheme to achieve the highest reliable data rate. When channel conditions are excellent, higher data rates are used to maximize productivity. When conditions deteriorate or interference increases, the data rate is reduced to maintain reliability, resolving the contradiction between communication speed and susceptibility to interference through dynamic parameter adjustment.
4Reliability
If channel conditions are monitored continuously to detect interference early, then communication reliability is improved, but device complexity is increased
Solution Approach 1:
The patent leverages existing wireless communication components to perform channel condition monitoring. The same receiver that decodes packets also measures signal strength and detects errors. The existing error correction and acknowledgment mechanisms are used to gather channel quality information. By making these existing components serve multiple functions (both communication and channel monitoring), the system achieves reliable interference detection without significantly increasing device complexity.
Data Source
AI summary
A computing device configured for wireless communication may effectively control adaptation to channel conditions. The device may be configured to identify and classify conditions impacting performance of a channel so that appropriate adaptations may be made. Interference may be detected by correlating received signal strength and packet errors. High received signal strength correlated to a high packet error rate may signify presence of a source of interference. Once a source of interference is detected, other criteria may be used to determine the nature of the interference so that an adaptation that is minimally disruptive of applications can be selected. Additionally, channel degradation may be predicted by monitoring trends in error rates, including Forward Error Correction rates, and adaptation may be used before packet error rates exceed an unacceptable level.