Radio Wave Environment Analysis at Different Locations Based on Frequent Pattern Mining | Zendy

Nobuo Suzuki | Zendy; Hiromi Matsuno | Zendy

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Radio Wave Environment Analysis at Different Locations Based on Frequent Pattern Mining

Author(s) -

Nobuo Suzuki,

Hiromi Matsuno

Publication year - 2017

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2017.08.061

Subject(s) - computer science , radio wave , wireless , fading , sequence (biology) , radio frequency , data mining , big data , radio channel , telecommunications , radio propagation , high frequency , internet of things , series (stratigraphy) , sample (material) , channel (broadcasting) , world wide web , geophysics , geology , ionosphere , paleontology , genetics , chemistry , chromatography , biology

IoT devices using radio wave functions continue to significantly increase. Since the frequency resources of radio waves are insufficient, acquiring them is a big problem for 5th generation wireless communication systems. Frequency sharing with radio systems is one of critical techniques to get more frequency resources. Data mining technologies are often used to determine the overall tendencies from some sample data. Frequent sequence mining technology is sometimes used to get the characteristics by a series of data. This study analyzed the characteristics of the radio environments of the ground and the sky in suburban areas using frequent sequence mining technology and identified the differences in the appearance of the sequences of every place and frequency. This study also observed the effects of radio wave fading in a series of high frequent sequences.

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