Dynamic Noise Floor Estimation for Wireless Base Stations
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wireless communication systems rely on outdated, hard-coded noise floor values that do not accurately reflect real-time interference levels, leading to suboptimal system performance and reliability, especially in varying environmental conditions and system loading.
Innovation Solution
A method for dynamically estimating noise floor values and rise over thermal (ROT) by continuously updating them based on sampled receive strength indications, reverse link loading, and reference noise floor values, allowing for periodic resets to ensure accuracy and adaptability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If hard-coded noise floor values are used for 24 hours, then system stability is maintained, but measurement precision deteriorates due to outdated values not reflecting real-time conditions
Solution Approach 1:
The patent implements dynamic noise floor estimation by continuously updating the noise floor value based on sampled receive strength indications (RSSI) from active reverse link channels. Instead of using a static hard-coded value, the system adapts the noise floor estimate in real-time by comparing sampled RSSI values against the current noise floor estimate and updating when appropriate, allowing the system to track changing interference conditions while maintaining operational simplicity through standardized update procedures.
2Measurement precision
If noise floor is continuously updated based on sampled RSSI, then measurement precision improves, but loss of time increases due to continuous sampling and processing
Solution Approach 1:
The patent employs periodic sampling of receive strength indications at predetermined intervals rather than continuous monitoring. The system samples RSSI values from active reverse link channels at specific time points, compares these samples against the current noise floor estimate, and updates the estimate periodically when conditions warrant. This periodic approach maintains measurement accuracy while minimizing processing overhead and time loss compared to continuous updating.
3Reliability
If empirical noise floor values are used across different cells and paths, then ease of operation is maintained, but reliability deteriorates due to hardware variations and environmental differences
Solution Approach 1:
The patent implements cell-specific and path-specific noise floor estimation by sampling RSSI values from each individual cell's active reverse link channels and updating the noise floor estimate locally for that specific cell and diversity path. Rather than using a single empirical value across the entire system, each cell maintains its own adaptive noise floor estimate based on its local sampling, accounting for hardware variations, environmental conditions, and interference patterns unique to each location while maintaining operational simplicity through standardized local update procedures.
Data Source
AI summary
The present invention provides a method for dynamically estimating noise floor by continuously updating a noise floor value based on the noise floor value and sampled receive strength indications. In an alternative, the noise floor may be updated based on sampled receive strength indications and the reverse link loading value. In yet another alternative, the noise floor may be updated based on sampled receive strength indications and a range relative to a reference noise floor value.