Presentation | 2016-05-20 [Invited Talk] MmWave communication control scheme employing machine learning algorithm and RGB-D camera Masahiro Morikura, Takayuki Nishio, Koji Yamamoto, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In millimeter-wave (mmWave) communications, a frame loss rate increases and throughput is decreased sharply when a pedestrian blocks a line-of-sight path. To solve this problem, we propose two novel schemes. The first proposal is a proactive routing control scheme. The conventional reactive communication controls based on communication quality such as received signal strength indicator and frame loss rate have been studied, but it is difficult to avoid a period in which the human blockage degrades throughput until after the operation of reactive control has been completed. The proposed proactive routing control scheme for mmWave communications is based on human blockage prediction using RGB-D cameras. Our experimental results show that the proactive traffic control schemes reduce the duration in which human blockage degrades throughput performance. The second proposal is related with a base station handover to solve the human blockage problem. In order to quickly transfer a mobile station communicating with one base station to another base station which provides higher throughput, the handover system obtains and updates throughput information between the station and each of base stations. Therefore, many control signals are required to transmit to obtain the throughput information and would waste mmWave radio resources. In this paper, we propose a mmWave throughput estimation scheme using an online machine learning algorithm and depth-image. The experiment results confirm that the scheme estimates temporal variation of throughputs more accurately than a compared scheme in various scenarios. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | mmWave communication / IEEE 802.11ad / human blockage / routing control / communication quality / RGB-D camera / WLAN |
Paper # | IN2016-14,RCS2016-40 |
Date of Issue | 2016-05-12 (IN, RCS) |
Conference Information | |
Committee | IN / RCS |
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Conference Date | 2016/5/19(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Kikai-Shinko-Kaikan Bldg. |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Hidetsugu Kobayashi(NTT) / Makoto Taromaru(Fukuoka Univ.) |
Vice Chair | Katsunori Yamaoka(Tokyo Inst. of Tech.) / Hidekazu Murata(Kyoto Univ.) / Satoshi Denno(Okayama Univ.) / Yukitoshi Sanada(Keio Univ.) |
Secretary | Katsunori Yamaoka(NTT) / Hidekazu Murata(KDDI) / Satoshi Denno(Mitsubishi Electric) / Yukitoshi Sanada(NTT DoCoMo) |
Assistant | Yuichi Sudo(NTT) / Kunitake Kaneko(Keio Univ.) / Jun Mashino(NTT) / Tetsuya Yamamoto(Panasonic) / Takamichi Inoue(NEC) / Tomoya Tandai(Toshiba) / Toshihiko Nishimura(Hokkaido Univ.) |
Paper Information | |
Registration To | Technical Committee on Information Networks / Technical Committee on Radio Communication Systems |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | [Invited Talk] MmWave communication control scheme employing machine learning algorithm and RGB-D camera |
Sub Title (in English) | |
Keyword(1) | mmWave communication |
Keyword(2) | IEEE 802.11ad |
Keyword(3) | human blockage |
Keyword(4) | routing control |
Keyword(5) | communication quality |
Keyword(6) | RGB-D camera |
Keyword(7) | WLAN |
1st Author's Name | Masahiro Morikura |
1st Author's Affiliation | Kyoto University(Kyoto Univ.) |
2nd Author's Name | Takayuki Nishio |
2nd Author's Affiliation | Kyoto University(Kyoto Univ.) |
3rd Author's Name | Koji Yamamoto |
3rd Author's Affiliation | Kyoto University(Kyoto Univ.) |
Date | 2016-05-20 |
Paper # | IN2016-14,RCS2016-40 |
Volume (vol) | vol.116 |
Number (no) | IN-45,RCS-46 |
Page | pp.pp.73-78(IN), pp.89-94(RCS), |
#Pages | 6 |
Date of Issue | 2016-05-12 (IN, RCS) |