Grid-Based Measurement Density Optimization Considering Multipath Environments for Efficient Wireless Quality Assessment

The utilization of high frequency bands, such as millimeter-waves, is advancing to enhance the channel capacity of mobile communication systems. It is generally known that high frequency bands have strong directivity but poor penetration capabilities, necessitating the investigation of wireless quality through simulations and measurements tailored to specific environments to stabilize communication quality. This paper proposes a grid-based measurement density optimization method for efficient wireless quality assessment. This novel approach adjusts the number of measurement points per grid based on the gradient of the ratio between primary and secondary reflected path components, serving as an indicator of multipath environments. The effectiveness of the proposed method is validated through ray-tracing simulations on an actual city environment. The evaluation results demonstrate that referencing the multipath environment indicator to set the density of measurement points effectively reduces measurement costs while maintaining high interpolation accuracy.