Clustering of signal power distribution toward low storage crowdsourced spectrum database

Yoji Uesugi, Keita Katagiri, Koya Sato, Kei Inage, Takeo Fujii

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we propose a spectrum database for storing received signal power distribution using clustering for reducing the types of registered distribution. In order to estimate radio environment, a measurement-based spectrum database (MSD) is considered and the distribution of the received signal is important for keeping the outage probability of the system performance. However, if we consider the database stores all of the distributions corresponding to each location, the amount of stored data becomes very large. In order to construct a practical database, the amount of stored data should be reduced while the highly estimation accuracy is maintained. Therefore, in this paper, the database firstly estimates the received signal power distribution in each location. Then, the similar distributions are integrated by clustering so the amount of stored data can be reduced. We evaluated the accuracy of the clustering and showed that similar distributions can be accurately clustered. In addition. we performed the transmit power control (TPC) by using the clustered distributions. The results showed that the permissible outage probability can be guaranteed while the amount of stored data can be drastically reduced.

Original languageEnglish
Title of host publication2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728112206
DOIs
Publication statusPublished - Sep 2019
Event90th IEEE Vehicular Technology Conference, VTC 2019 Fall - Honolulu, United States
Duration: 22 Sep 201925 Sep 2019

Publication series

NameIEEE Vehicular Technology Conference
Volume2019-September
ISSN (Print)1550-2252

Conference

Conference90th IEEE Vehicular Technology Conference, VTC 2019 Fall
CountryUnited States
CityHonolulu
Period22/09/1925/09/19

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  • Cite this

    Uesugi, Y., Katagiri, K., Sato, K., Inage, K., & Fujii, T. (2019). Clustering of signal power distribution toward low storage crowdsourced spectrum database. In 2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings [8891469] (IEEE Vehicular Technology Conference; Vol. 2019-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2019.8891469