Spectral Interference Estimation for Base Station Licensing
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Solution Overview
Problem
Cellular network providers face challenges in accurately estimating spectral interference when installing new base stations, as obtaining empirical interference values is a slow and expensive process, hindering the licensing process due to limited frequency spectrum and interference from frequency reuse techniques.
Innovation Solution
A method using a computer model that estimates spectral interference by inputting parameters such as transmitter and receiver locations, antenna characteristics, and channel models, allowing for the identification of base stations with high interference and their removal to meet threshold values, with empirical validation for a subset of stations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If empirical spectral interference values are obtained for all proposed base stations, then measurement precision is improved, but loss of time and cost increase significantly
Solution Approach 1:
The patent segments the base station evaluation process into two groups: a first proper subset where empirical spectral interference values are obtained through measurement, and a second proper subset where modeled spectral interference values are used. This segmentation allows the system to achieve adequate measurement precision for licensing decisions without the prohibitive time cost of measuring all base stations, by strategically selecting which stations require empirical validation.
Solution Approach 2:
The patent creates a computer model that replicates the spectral interference characteristics of base stations. Instead of obtaining empirical values for all stations, the model generates modeled spectral interference values that serve as proxies for actual measurements. This copying approach maintains sufficient accuracy for licensing decisions while dramatically reducing the time required, as modeled values can be computed rapidly without physical measurement campaigns.
2Measurement precision
If empirical spectral interference values are obtained for all proposed base stations, then measurement precision is improved, but cost increases significantly
Solution Approach 1:
The patent divides the base station population into two segments: those requiring empirical measurement (first proper subset) and those using modeled values (second proper subset). This segmentation reduces the overall cost by limiting expensive empirical measurements to only the most critical cases while relying on computational modeling for the remainder, thereby maintaining adequate precision without prohibitive costs.
Solution Approach 2:
The computer model serves as a cost-effective copy of the physical measurement process. By generating modeled spectral interference values that approximate empirical measurements, the system avoids the high costs associated with deploying measurement equipment and personnel for every base station, while still providing sufficiently accurate data for licensing decisions.
3Productivity
If frequency reuse techniques are implemented to maximize spectrum utilization, then productivity is improved, but spectral interference increases
Solution Approach 1:
The patent implements a feedback mechanism where spectral interference values (both empirical and modeled) are obtained for proposed base stations and used to evaluate whether interference levels remain acceptable. This feedback loop allows the system to maintain high spectrum utilization through frequency reuse while identifying and adjusting configurations that would generate excessive interference, thereby balancing productivity gains against harmful interference effects.
Data Source
AI summary
A method and system of determining spectral interference are disclosed. In one embodiment, a spectral interference model for a first set of proposed base stations is obtained. The spectral interference model is implemented for the first set of proposed base stations to calculate first modeled spectral interference values, wherein each of the first modeled spectral interference values indicates a spectral interference value for a corresponding one of the first set of proposed base stations. The first set of proposed base stations are updated based on the first modeled spectral interference values to obtain a second set of proposed base stations. First empirical spectral interference values are then obtained for a first proper subset of the second set of proposed base stations. The first empirical spectral interference values are compared with the modeled spectral interference values and the second set of proposed base stations are updated based on the comparison.