Interference Probability Detection in RF Bands
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Solution Overview
Problem
Wireless telecommunication networks face interference issues when user equipment (UEs) communicate via new RF bands, causing disruptions and resource wastage due to packet loss, latency, and jitter, as existing systems lack effective methods to predict and prevent interference with incumbent receivers.
Innovation Solution
A network analysis system determines an interference score by adjusting historical signal power measurements from one RF band to model estimated power for another band, using geographical information and mathematical adjustments to predict interference, allowing for proactive measures to prevent disruptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If base stations enable wireless telecommunication services via new RF bands, then service coverage and capacity are improved, but interference with incumbent receivers occurs causing packet loss, latency, and jitter
Solution Approach 1:
The system performs preliminary interference probability detection by analyzing historical communication data and adjusting signal power measurements before actual communication occurs. This allows the base station to identify potential interference issues with incumbent receivers in advance and take preventive actions, such as adjusting transmission parameters or avoiding certain RF bands, thereby preventing packet loss, latency, and jitter before they occur
Solution Approach 2:
The system implements a feedback mechanism where interference probability detection results are continuously monitored and used to adjust base station communication parameters. The detection system provides real-time feedback about potential interference conditions, enabling dynamic adaptation of transmission power, frequency selection, and other communication parameters to minimize interference while maintaining service coverage
2Reliability
If interference detection and prevention systems are implemented, then communication quality is improved, but system complexity increases
Solution Approach 1:
The system uses signal power measurements from one RF band as a proxy or copy to estimate and detect potential interference in another RF band. By adjusting historical signal power measurements from a first RF band to model estimated power measurements for a second RF band, the system can predict interference probability without requiring direct measurement in the target band, thereby reducing detection complexity while maintaining reliability
Solution Approach 2:
The system transforms and adjusts signal power parameters from one frequency band to another using mathematical models. By changing the parameter representation (adjusting measurements from first RF band to model second RF band), the system simplifies the detection process while maintaining accurate interference probability assessment, reducing the need for complex direct measurements in multiple bands
Data Source
AI summary
A device may receive location information associated with a fixed service satellite station (receiver) configured to communicate via a first radio frequency (RF) band. The device may obtain historical communication data associated with the location and relating to previous communications conducted via a second RF band, of user equipment (UEs). The historical communication data may include historical signal power measurements of the previous communications. The device may adjust the historical signal power measurements to model estimated signal power measurements relating to a UE to communicating via a first RF band. The device may determine, based on the estimated signal power measurements, an interference score associated with a probability of a UE interfering with the receiver when communicating, via a first RF band, with a base station.