Interference Analysis Method for Wireless Terminals in Hot Spots
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Solution Overview
Problem
Existing methods for analyzing interference between data communication terminals, such as the Monte-Carlo scheme, assume uniform terminal distribution and do not accurately reflect real-world usage patterns, leading to unrealistic interference calculations and inadequate protection bands.
Innovation Solution
A method that considers specific terminal use patterns by randomly distributing interfered and interfering terminals within hot spots or hot zones, calculating initial and final signal-to-interference power ratios, and accounting for collision factors to determine effective protection bands and data throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the Monte-Carlo scheme is used to calculate interference probability, then all interference environments can be simulated, but the terminal distribution is assumed to be uniform which does not reflect real usage patterns
Solution Approach 1:
The patent applies local quality by differentiating terminal distribution characteristics across different spatial locations. Instead of assuming uniform distribution throughout the cell, the method identifies hot spots and hot zones where terminals are concentrated, and applies different distribution models to different regions. This allows the simulation to reflect real-world usage patterns where terminals are not uniformly distributed but rather clustered in specific areas with higher user density.
2Reliability
If the MCL scheme is used to calculate separation distance, then the worst case is assumed ensuring no interference, but a great separation distance is calculated that is not suitable for actual application
Solution Approach 1:
The patent applies dynamics by transitioning from the static worst-case assumption of the MCL scheme to a dynamic probabilistic approach. Instead of calculating a fixed separation distance that guarantees no interference under any condition, the method uses Monte-Carlo simulations with realistic terminal distribution to calculate interference probability. This allows the separation distance to be optimized based on acceptable interference probability thresholds, making it adaptable to different reliability requirements while reducing unnecessary separation distances.
3Device complexity
If a uniform terminal distribution is assumed in interference analysis, then calculations are simplified, but the protection band determined is inadequate for real-world scenarios
Solution Approach 1:
The patent applies preliminary action by pre-identifying and characterizing terminal distribution patterns before performing interference calculations. The method first determines hot spots and hot zones based on historical data or network configuration, establishing the spatial distribution model in advance. This preliminary characterization of terminal locations allows subsequent interference probability calculations to use realistic distribution assumptions without significantly increasing computational complexity, as the distribution pattern is predetermined rather than calculated in real-time during each simulation iteration.
Data Source
AI summary
A method may include distributing a interfered terminal; calculating an initial signal-to-interference power ratio and a data throughput of the interfered terminal; distributing interfering terminals and an interfering link base station; calculating a final transmitting power of the interfering terminal through power control between the interfering terminal and the interfering link base station; calculating a path loss and a collision factor between the interfered terminal and the interfering terminal; and calculating a final signal-to-interference power ratio and a data throughput of the interfered terminal. Accordingly, it is possible to analyze interference in consideration of a terminal use pattern in view of presence of hot spots, and to provide basic data for setting an effective emission transmitting power level of the terminal and a protection band between the terminals since the signal-to-interference power ratio and the data throughput can be calculated through interference analysis.