| Presentation | 2018-10-31 [Poster Presentation] Time Series Analysis of Multiple Primary Users by Cooperative Sensing based on SDAR Algorithm Akihisa Abe, Yuya Aoki, Takeo Fujii, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | As a way to utilize the limited frequency resource efficiently, frequency sharing based on the spectrum database has been attracted attention. In the spectrum database, the high accuracy recognition of radio environment is achieved by statistically analyzing the radio environment information observed by wireless terminals of each location. However, in the conventional spectrum database, observation values are statistically analyzed without taking transition of the communication state of the primary user (PU) into consideration. Therefore, if the communication state of the PU varies with time, the error between the observed value and the statistical value becomes large, and the frequency sharing performance may deteriorate. Thus, in this paper, we propose the method to construct the spectrum database with considering PU state transition. Specifically, multiple PUs and secondary users (SUs) situation are considered, and the SUs observe the radio environment information by cooperative sensing and detect PUs’ states transitions by sequential discounting auto regressive (SDAR) algorithm. Based on the detection results, each SU estimates the channel utilization rates of PUs, the average duration of PUs’ ON / OFF, and the average received power value, then reports them to the spectrum database. By using the proposed method, we show that the PUs’ states transitions can be detected accurately and estimation error of received power value can be improved compared with the conventional spectrum database. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Frequency SharingSpectrum DatabaseSequential Discounting Auto Regressive |
| Paper # | SR2018-80 |
| Date of Issue | 2018-10-23 (SR) |
| Conference Information | |
| Committee | SR |
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| Conference Date | 2018/10/30(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Mandarin Hotel, Bangkok, Thailand |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | SmartCom2018 |
| Chair | Kenta Umebayashi(Tokyo Univ. of Agric. and Tech.) |
| Vice Chair | Masayuki Ariyoshi(NEC) / Suguru Kameda(Tohoku Univ.) |
| Secretary | Masayuki Ariyoshi(NICT) / Suguru Kameda(ATR) |
| Assistant | Gia Khanh Tran(Tokyo Inst. of Tech.) / Syusuke Narieda(Mie Univ.) / Koji Ohshima(Kozo Keikaku Engineering) / Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) |
| Paper Information | |
| Registration To | Technical Committee on Smart Radio |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] Time Series Analysis of Multiple Primary Users by Cooperative Sensing based on SDAR Algorithm |
| Sub Title (in English) | |
| Keyword(1) | Frequency SharingSpectrum DatabaseSequential Discounting Auto Regressive |
| 1st Author's Name | Akihisa Abe |
| 1st Author's Affiliation | The University of Electro-Communications(UEC) |
| 2nd Author's Name | Yuya Aoki |
| 2nd Author's Affiliation | The University of Electro-Communications(UEC) |
| 3rd Author's Name | Takeo Fujii |
| 3rd Author's Affiliation | The University of Electro-Communications(UEC) |
| Date | 2018-10-31 |
| Paper # | SR2018-80 |
| Volume (vol) | vol.118 |
| Number (no) | SR-274 |
| Page | pp.pp.49-50(SR), |
| #Pages | 2 |
| Date of Issue | 2018-10-23 (SR) |