Radio Interference Estimation via Channel Segmentation
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Solution Overview
Problem
Existing systems face challenges in accurately estimating the activation rate of interference in WiFi channels, particularly in distinguishing active interferers and handling cases of overlapping interference, which affects radio resource management and monitoring in applications like Communication-Based Train Control (CBTC).
Innovation Solution
A method implemented by computer means for estimating interference on a radiofrequency system using a set of channels, involving determining a set of all possible configurations of transmission band occupation, building a matrix from these configurations, obtaining measurements of channel occupation, and computing probabilities to estimate the activation rate of interferers within a given observation time window.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measurements are taken on a frequency band smaller than the WiFi signal bandwidth, then the measurement precision is improved, but the difficulty of detecting and measuring interferers increases due to overlapping transmission bands
Solution Approach 1:
The patent segments the continuous frequency band into multiple discrete channels (e.g., 16 channels in the ISM band). Each channel can be independently measured and analyzed. This segmentation allows the system to take precise measurements on smaller frequency units (channels) while still being able to detect and characterize interferers that span multiple channels by analyzing the pattern of occupied channels.
Solution Approach 2:
The patent introduces a temporal dimension by performing measurements over multiple time instances and building a database of measurements associated with vehicle positions. This transforms the problem from a single-frequency-band measurement into a multi-dimensional analysis involving frequency channels, time, and spatial position, enabling better interferer discrimination through pattern recognition across dimensions.
2Adaptability or versatility
If the radio system uses ISM band for communication, then the adaptability is improved, but the object-affected harmful factors increase due to interference from WiFi and other devices
Solution Approach 1:
The patent implements a feedback mechanism where interference measurements are continuously taken, stored in a database, and used to identify interferers. The system feeds back this information to make informed decisions about channel selection and resource management. This feedback loop allows the radio system to adapt to interfering devices by learning their behavior patterns and avoiding their transmission bands.
Solution Approach 2:
The patent introduces an intermediary processing layer that analyzes interference patterns and translates raw measurements into actionable information. This intermediary system (including the database and analysis algorithms) mediates between the physical interference environment and the radio system's decision-making process, enabling the system to navigate around interferers while maintaining adaptability to use the ISM band.
3Reliability
If cognitive radio technology is used for interference avoidance, then the reliability is improved, but the quantity of substance increases due to the need for extensive measurements to feed the database
Solution Approach 1:
The patent performs preliminary actions by continuously building and maintaining a database of interference measurements during normal operation. This preliminary data collection and analysis prepare the system in advance, so when interference avoidance decisions are needed, the system already has pre-processed information about interferer locations and patterns, reducing the need for extensive new measurements at decision points.
Data Source
AI summary
A method includes: determining a set of all possible configurations of occupation or non-occupation of a set of transmission bands, defined as a set of possible vectors; building a matrix from a stacking of all the possible vectors; obtaining measurements of occupation of at least a part of the set of channels, at respective time instants; and computing probabilities using a channel transition function so as to determine, for each transmission band, an estimated activation rate, on the basis of the measurements. The estimated activation rate corresponds to an occupation rate of a transmission band by an interferer within the given observation time window, and the probabilities computations include an iterative resolution of a non-linear optimization problem with a constraint derived from the Gibbs' inequality.