US 12,114,176 B2
Propagation characteristic estimation device, propagation characteristic estimation method, and propagation characteristic estimation program
Nobuaki Kuno, Musashino (JP); Wataru Yamada, Musashino (JP); Takatsune Moriyama, Musashino (JP); and Yasushi Takatori, Musashino (JP)
Assigned to NIPPON TELEGRAPH AND TELEPHONE CORPORATION, Tokyo (JP)
Appl. No. 17/765,114
Filed by NIPPON TELEGRAPH AND TELEPHONE CORPORATION, Tokyo (JP)
PCT Filed Oct. 4, 2019, PCT No. PCT/JP2019/039353
§ 371(c)(1), (2) Date Mar. 30, 2022,
PCT Pub. No. WO2021/064999, PCT Pub. Date Apr. 8, 2021.
Prior Publication US 2022/0345899 A1, Oct. 27, 2022
Int. Cl. H04B 17/00 (2015.01); G01S 5/02 (2010.01); G06T 7/13 (2017.01); H04B 17/309 (2015.01); H04W 16/18 (2009.01); H04W 16/22 (2009.01); H04W 40/00 (2009.01)
CPC H04W 16/18 (2013.01) [G06T 7/13 (2017.01); H04B 17/309 (2015.01); G06T 2207/10032 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30184 (2013.01)] 4 Claims
OG exemplary drawing
 
1. A propagation characteristic estimation device for estimating a propagation characteristic of radio waves between a transmitting station and a receiving station that perform wireless communication, the propagation characteristic estimation device comprising:
a processor; and
a storage medium having computer program instructions stored thereon, when executed by the processor, perform to:
based on input information from an external source, extract position information regarding the transmitting station and the receiving station and a frequency of radio waves transmitted by the transmitting station;
calculate a three-dimensional distance between the transmitting station and the receiving station and a free space loss of radio waves based on the position information and the frequency;
perform processing for, with use of a two-dimensional image of a region that includes the transmitting station and the receiving station, extracting an edge of a structure that reflects radio waves in the two-dimensional image;
generate input data for use in machine learning, based on the position information, the three-dimensional distance, the free space loss, and the edge; and
perform machine learning to estimate a propagation characteristic of radio waves between the transmitting station and the receiving station with use of the input data generated by the generation unit.