| Presentation | 2017-01-19 Transmitter Identification using Hidden Markov Model for Radio Environment Map Construction Koji Ichikawa, Takeo Fujii, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we discuss a method to construct a radio environment map (REM) in an environmentwith multiple primary users (PUs). The REM provides statistical information about the PU signal at each location. It enables the secondary user to access the licensed band dynamically. We derive the measurement architecturebased on the “ crowd-sourcing ” scheme to gather large-scale measurement data with inexpensive sensor nodes. The PU detection or identification scheme is key part of the REM construction then there are multiple PUs in theenvironment. However, it is difficult to identify multiple PUs in an individual user terminal. Therefore, the PUdetection or identification problem is solved at the REM servers using the Hidden Markov Model (HMM), whichis a time-seriesbased machine learning technique. The proposed HMM method classifies the measurement datadepending on the combined state of each transmitter, which can be either active or idle. The results show that theproposed method exhibits better performance than the existing unsupervised clustering method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Cognitive Radio / Spectrum Sharing / Radio Environment Map |
| Paper # | SR2016-83 |
| Date of Issue | 2017-01-12 (SR) |
| Conference Information | |
| Committee | SR |
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| Conference Date | 2017/1/19(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Himegin Hall |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Cognitive wireless network, Cross layer wireless technology, SDN, etc. |
| Chair | Takeo Fujii(Univ. of Electro-Comm.) |
| Vice Chair | Kenta Umebayashi(Tokyo Univ. of Agric. and Tech.) / Masayuki Ariyoshi(NEC) / Suguru Kameda(Tohoku Univ.) |
| Secretary | Kenta Umebayashi(Shinshu Univ.) / Masayuki Ariyoshi(NICT) / Suguru Kameda |
| Assistant | Kazuto Yano(ATR) / Mamiko Inamori(Tokai Univ.) / Hiroyuki Shiba(NTT) / Gia Khanh Tran(Tokyo Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Smart Radio |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Transmitter Identification using Hidden Markov Model for Radio Environment Map Construction |
| Sub Title (in English) | |
| Keyword(1) | Cognitive Radio |
| Keyword(2) | Spectrum Sharing |
| Keyword(3) | Radio Environment Map |
| 1st Author's Name | Koji Ichikawa |
| 1st Author's Affiliation | The University of Electro-Communications(UEC) |
| 2nd Author's Name | Takeo Fujii |
| 2nd Author's Affiliation | The University of Electro-Communications(UEC) |
| Date | 2017-01-19 |
| Paper # | SR2016-83 |
| Volume (vol) | vol.116 |
| Number (no) | SR-409 |
| Page | pp.pp.27-32(SR), |
| #Pages | 6 |
| Date of Issue | 2017-01-12 (SR) |