Interference Management System Using Pattern Mapping
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Solution Overview
Problem
Communication devices face interference issues due to crosstalk, co-channel interference, electromagnetic interference, and weather conditions, necessitating advanced methods for interference management.
Innovation Solution
The system receives interference data from various sources, creates interference patterns, and uses these patterns to identify and mitigate interference by adjusting characteristics such as frequency, power levels, and positions of interfering devices, with the aid of sensors and databases to manage and minimize interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If interference management methods are implemented, then communication reliability is improved, but system complexity increases
Solution Approach 1:
The interference management system is segmented into distinct functional modules: interference detection unit, interference pattern creation unit, interference map generation unit, and interference mitigation unit. Each module handles a specific aspect of interference management, allowing the complex overall function to be broken down into manageable, independent components that can be developed and maintained separately.
Solution Approach 2:
The patent introduces an intermediary interference map that acts as a mediator between raw interference data and mitigation decisions. This interference map consolidates interference patterns from multiple sources and provides a unified view that simplifies the decision-making process for interference mitigation, reducing the complexity of directly analyzing multiple interference sources simultaneously.
2Measurement precision
If interference patterns are created and analyzed, then interference identification accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary actions by continuously monitoring and storing interference patterns in an interference map before actual communication operations. This pre-characterization of interference environments allows the system to quickly identify and respond to interference without performing complex analysis in real-time, thus improving identification accuracy while minimizing processing time during critical operations.
Solution Approach 2:
The patent creates simplified copies of interference patterns by generating characteristic signatures that represent complex interference sources. These signatures serve as compact representations that can be quickly compared and matched, maintaining high identification accuracy while significantly reducing the computational burden and processing time required for interference analysis.
3Object-affected harmful factors
If characteristics of interference sources are modified, then interference level is reduced, but device performance may deteriorate
Solution Approach 1:
The system modifies parameters of interference sources dynamically based on the generated interference map. By changing specific parameters such as frequency, power level, or transmission timing of interfering devices, the system reduces interference levels while maintaining optimal device performance through adaptive parameter adjustment rather than static modifications.
Solution Approach 2:
The patent implements dynamic interference management where the characteristics of interference sources are adjusted in real-time based on current system conditions and interference patterns. This dynamic approach allows the system to minimize interference while maintaining device performance by adapting to changing environmental conditions and traffic patterns, rather than applying fixed modifications.
Data Source
AI summary
Methods and systems for interference management are described. Methods and systems can be used for minimizing interference among communication and/or electronic devices. Interference data can be gathered/received from interference sources such as weather and natural patterns, various electronic devices, and one or more network protocols. The interference data can be used to generate interference patterns of each interference source in an interference map. The interference map can be used to determine how a particular interference pattern can affect a system. The interference map can also be used to evaluate a new source of interference (e.g., cordless phones, weather conditions) to determine how a system can be affected. The interference data can also be associated with an interference signature (e.g., an interference pattern, a fingerprint) for an interference source in a database. The database can be used based on the interference signature to identify known and/or unknown interference sources.


