The radio map of wireless communications should be surveyed in advance when installing base stations to efficiently utilize radio waves. Generally, this is calculated using radio wave propagation simulation. Because the simulation is time-consuming, a tensor-rank minimization-based interpolation method has been proposed as fast method. However, this method interpolates the radio map using an iterative algorithm. The number of iterations required for further acceleration should be reduced; therefore, we propose a tensor interpolation using rank minimization that considers the characteristics of radio wave propagation. Furthermore, we proved that the proposed method could interpolate with fewer iterations than the existing method.
We proposed a ray-tracing (RT) acceleration method using the tensor completion technique for a three-dimensional (3D) radio map. Internet of things (IoT) has become widespread recently, and analysis of indoor radio wave propagation has become important in optimizing the installation location of the IoT devices. Generally, RT is used for radio wave propagation analysis. However, RT is timeconsuming to simulate. The simulation time required for RT is even larger when calculating the receiving points in 3D space with many objects. Hence, in the proposed method, we reduced the number of receiving points at which the RT calculation is performed, and we interpolated by tensor completion the received power not calculated by RT.
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