| Presentation | 2019-03-08 A Study on Joint Probability Distribution Property of Busy/Idle Duration and its Impact on the Performance of Auto-regressive Based Predictor over Real Environmental Channel Yafei Hou, Kazuto Yano, Satoshi Denno, Yoshinori Suzuki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | For improving the spectrum efficiency (SE), one of efficient methods is allocating multiple bands for simultaneous wireless transmission with cognitive radio technique. To realize such purpose, the important and difficult is to analyze and predict the start and end points of busy/idle duration of channel occupancy status in a low-complexity way. This paper will study the probability distribution of succeeding busy/idle status durations and its impact on the prediction performance of a low-complexity auto-regressive (AR) based predictor using the real environment data collected at a railway station. We first analyze the probability distribution of succeeding busy/idle status durations captured at 2.4~GHz and 5~GHz bands obtained by the adaptive kernel density estimation (AKDE). The analysis shows that, by setting the previous status durations into different ranges, the final status durations can be divided into different categorization with different range. Based on these properties, we evaluate the prediction performance of the low-complexity linear AR based predictor with B/I duration categorization by separating busy/idle duration data into different streams. The proposed predictor can largely improve the prediction performance of some streams after data categorization. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Autoregressive predictorbusy/idle duration predictionheavy wireless traffic environmentadaptive kernel density estimationdata categorization |
| Paper # | SR2018-137 |
| Date of Issue | 2019-02-27 (SR) |
| Conference Information | |
| Committee | RCS / SR / SRW |
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| Conference Date | 2019/3/6(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | YRP |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mobile Communication Workshop |
| Chair | Tomoaki Otsuki(Keio Univ.) / Kenta Umebayashi(Tokyo Univ. of Agric. and Tech.) / Tadao Nakagawa(Tottori Univ.) |
| Vice Chair | Eisuke Fukuda(Fujitsu Labs.) / Satoshi Suyama(NTT Docomo) / Fumiaki Maehara(Waseda Univ.) / Masayuki Ariyoshi(NEC) / Suguru Kameda(Tohoku Univ.) / Satoshi Denno(Okayama Univ.) / Makoto Hamaminato(Fujitsu labs.) |
| Secretary | Eisuke Fukuda(Hokkaido Univ.) / Satoshi Suyama(NTT) / Fumiaki Maehara(NICT) / Masayuki Ariyoshi(ATR) / Suguru Kameda(Univ. of Electro-Comm.) / Satoshi Denno(Kyoto Univ.) / Makoto Hamaminato(Tokyo Inst. of Tech.) |
| Assistant | Kazushi Muraoka(NTT Docomo) / Shinsuke Ibi(Osaka Univ.) / Hiroshi Nishimoto(Mitsubishi Electric) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Gia Khanh Tran(Tokyo Inst. of Tech.) / Syusuke Narieda(Mie Univ.) / Koji Ohshima(Kozo Keikaku Engineering) / Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) / Hiromasa Yamauchi(Fujitsu labs.) / Hanako Noda(Anritsu) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems / Technical Committee on Smart Radio / Technical Committee on Short Range Wireless Communications |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Joint Probability Distribution Property of Busy/Idle Duration and its Impact on the Performance of Auto-regressive Based Predictor over Real Environmental Channel |
| Sub Title (in English) | |
| Keyword(1) | Autoregressive predictorbusy/idle duration predictionheavy wireless traffic environmentadaptive kernel density estimationdata categorization |
| 1st Author's Name | Yafei Hou |
| 1st Author's Affiliation | Graduate School of Natural Science and Technology, Okayama University(Okayama Univ.) |
| 2nd Author's Name | Kazuto Yano |
| 2nd Author's Affiliation | ATR Wave Engineering Laboratories(ATR) |
| 3rd Author's Name | Satoshi Denno |
| 3rd Author's Affiliation | Graduate School of Natural Science and Technology, Okayama University(Okayama Univ.) |
| 4th Author's Name | Yoshinori Suzuki |
| 4th Author's Affiliation | ATR Wave Engineering Laboratories(ATR) |
| Date | 2019-03-08 |
| Paper # | SR2018-137 |
| Volume (vol) | vol.118 |
| Number (no) | SR-475 |
| Page | pp.pp.89-96(SR), |
| #Pages | 8 |
| Date of Issue | 2019-02-27 (SR) |