Wireless Interference Evaluation Using Precomputed Lookup Tables
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Solution Overview
Problem
In environments with many wireless terminals, partial channel interference can occur, making it difficult to accurately calculate the influence of interference on wireless communication quality, especially since conventional methods require time-consuming theoretical calculations that may not accurately represent real-world conditions.
Innovation Solution
A method and device for evaluating wireless communication characteristics by acquiring interference signal power and band, calculating the interference band rate, determining steady noise power, and using real SINR to assess communication quality, which reduces calculation time and improves accuracy by using measured data from real environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If theoretical calculation methods are used to evaluate interference influence, then calculation accuracy may be sufficient, but calculation time becomes excessively long
Solution Approach 1:
The patent pre-calculates and stores interference influence data in a lookup table before actual evaluation. By performing the computation-intensive theoretical calculations in advance and storing results, the system avoids repeating lengthy calculations during real-time interference evaluation, thus resolving the contradiction between accuracy and calculation time.
Solution Approach 2:
The patent creates a simplified model by copying essential interference characteristics into a lookup table structure. Instead of performing complete theoretical calculations during evaluation, the system copies pre-computed results from the lookup table based on measured parameters, achieving fast evaluation while maintaining accuracy through the pre-stored theoretical data.
2Reliability
If conventional interference calculation methods are used, then theoretical completeness is maintained, but the evaluation does not accurately reflect real-world conditions
Solution Approach 1:
The patent changes the approach from purely theoretical parameter calculation to using actual measured parameters from the wireless environment. By incorporating real measurements of interference power and channel conditions into the evaluation process, the system achieves better real-world accuracy while maintaining theoretical completeness through the lookup table methodology.
Solution Approach 2:
The patent introduces a lookup table as an intermediary between theoretical calculation and real-world measurement. This intermediary structure stores pre-computed theoretical results that can be quickly queried using actual measured parameters, bridging the gap between theoretical completeness and real-world accuracy.
3Measurement precision
If detailed block-by-block SINR calculation is performed for each interference event, then comprehensive evaluation is achieved, but calculation complexity increases significantly
Solution Approach 1:
The patent extracts only the essential parameters needed for interference evaluation (interference power, channel bandwidth, modulation scheme) from the complex wireless environment. By taking out these key parameters and using them to query pre-computed lookup tables, the system achieves comprehensive evaluation without the complexity of detailed block-by-block calculations.
Solution Approach 2:
The patent performs the complex block-by-block SINR calculations in advance and stores the results in a lookup table. During actual interference evaluation, the system only needs to query this pre-computed table using simple parameter matching, dramatically reducing calculation complexity while maintaining comprehensive evaluation accuracy.
Data Source
AI summary
A wireless communication characteristics evaluation method for evaluating wireless communication characteristics of a wireless communication system where a plurality of wireless communication terminals perform communication by transmitting or exchanging signals, the wireless communication characteristics evaluation method including: a step 1 of acquiring power and a band of an interference signal; a step 2 of calculating an interference band rate showing a rate of the band of the interference signal that overlaps with a band of a desired signal; a step 3 of calculating an interference power rate from interference power and the interference band rate and furthermore, calculating steady noise power from the interference power and the interference power rate; a step 4 of determining a real SINR from received power of the desired signal and the steady noise power; and a step 5 of determining wireless communication characteristics of the desired signal from the real SINR.