Clustering for Signal Power Distribution Toward Low Storage Crowdsourced Spectrum Database

This paper proposes a measurement-based spectrum database (MSD) with clustered fading distributions toward greater storage efficiencies. The conventional MSD can accurately model the actual characteristics of multipath fading by plotting the histogram of instantaneous measurement data for each space...

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Veröffentlicht in:IEICE Transactions on Communications 2021/10/01, Vol.E104.B(10), pp.1237-1248
Hauptverfasser: UESUGI, Yoji, KATAGIRI, Keita, SATO, Koya, INAGE, Kei, FUJII, Takeo
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Sprache:eng
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Zusammenfassung:This paper proposes a measurement-based spectrum database (MSD) with clustered fading distributions toward greater storage efficiencies. The conventional MSD can accurately model the actual characteristics of multipath fading by plotting the histogram of instantaneous measurement data for each space-separated mesh and utilizing it in communication designs. However, if the database contains all of a distribution for each location, the amount of data stored will be extremely large. Because the main purpose of the MSD is to improve spectral efficiency, it is necessary to reduce the amount of data stored while maintaining quality. The proposed method reduces the amount of stored data by estimating the distribution of the instantaneous received signal power at each point and integrating similar distributions through clustering. Numerical results show that clustering techniques can reduce the amount of data while maintaining the accuracy of the MSD. We then apply the proposed method to the outage probability prediction for the instantaneous received signal power. It is revealed that the prediction accuracy is maintained even when the amount of data is reduced.
ISSN:0916-8516
1745-1345
DOI:10.1587/transcom.2020DSP0011