Arrival Rate Estimation for LPWA Networks
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Solution Overview
Problem
Existing radio wave propagation simulators for IoT devices in LPWA networks primarily estimate average received power, which is insufficient for efficient station installation design, as they do not accurately account for instantaneous changes and diversity effects, leading to suboptimal communication quality.
Innovation Solution
An arrival rate estimation device that calculates average received power for each mesh and uses a cumulative distribution function to estimate communication arrival rates, considering site and antenna diversity effects, and instantaneous changes due to Rayleigh fading, allowing for more accurate prediction of radio wave arrival rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If average received power is used for station installation design, then calculation complexity is reduced and estimation speed is improved, but measurement precision of communication quality is deteriorated
Solution Approach 1:
The patent segments the complex ray trace simulation into two distinct parts: (1) average received power calculation using simplified path composite methods, and (2) arrival rate calculation using the segmented results combined with probability density functions. This segmentation allows the system to maintain measurement precision for arrival rates while avoiding the full computational complexity of traditional ray trace methods.
Solution Approach 2:
The patent performs preliminary calculation of average received power for multiple paths before conducting the final arrival rate estimation. By pre-calculating the average received power values and storing them, the system reduces the computational burden during the actual arrival rate calculation, thereby improving estimation speed without sacrificing precision.
2Measurement precision
If ray trace method with complex number composite is used, then measurement precision of instantaneous received power is improved, but calculation time is excessively increased
Solution Approach 1:
The patent extracts only the necessary component (average received power) from the full ray trace method and uses it as input for a simplified arrival rate calculation model. By taking out the average received power calculation from the complex instantaneous power calculation, the system achieves adequate precision for station installation design without the excessive calculation time of full complex number compositing.
Solution Approach 2:
The patent uses a simplified calculation approach that is computationally inexpensive and fast, accepting that it provides sufficient but not maximum precision. This disposable approximation method is adequate for the application purpose of station installation design, where exact instantaneous power values are not required but arrival rate statistics are sufficient.
3Reliability
If average received power calculation without diversity effects is used, then ease of operation is improved, but reliability of communication quality estimation is deteriorated
Solution Approach 1:
The patent changes the parameter from simple average received power to a more comprehensive parameter that includes diversity effects (CDF of received power). By modifying the calculation parameter to incorporate site diversity and antenna diversity through cumulative distribution functions, the system improves reliability of communication quality estimation while maintaining relative ease of operation through systematic calculation procedures.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution enables higher accuracy in estimating radio wave arrival rates, ensuring better communication quality by accounting for instantaneous changes and diversity effects, thereby improving the efficiency of IoT device installation and reducing costs.
Implementation Method 1
a cumulative distribution function of an instantaneous received power value, and based on the calculated communication arrival rate, calculates a communication arrival rate while giving consideration to a site diversity effect and an antenna diversity effect, the cumulative distribution function being obtained from a probability density function of an amplitude that instantaneously changes due to Rayleigh fading
Data Source
AI summary
An arrival rate estimation device includes an average received power calculation unit that calculates an average received power for each mesh that constitutes an area, with respect to each of a plurality of base stations and each of a plurality of antennas included in each of the base stations and an arrival rate estimation unit that calculates a communication arrival rate by substituting the average received power into a cumulative distribution function of an instantaneous received power value, and based on the calculated communication arrival rate, calculates a communication arrival rate while giving consideration to a site diversity effect and an antenna diversity effect, the cumulative distribution function being obtained from a probability density function of an amplitude that instantaneously changes due to Rayleigh fading.