| Presentation | 2016-10-27 [Technology Exhibit] Realtime Throughput Estimation Using Depth Images for mmWave Communications Hironao Okamoto, Takayuki Nishio, Masahiro Morikura, Daisuke Murayama, Katsuya Nakahira, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The human blockage problem is an open issue in next-generation wireless access networks using millimeter-wave (mmWave) communications.A base station (BS) handover system is proposed for solving the human blockage problem.We proposed a camera-assisted proactive handover system where cameras observe the mmWave communication region and handover is triggered by a camera image based blockage prediction.In this paper, we propose a mmWave throughput estimation scheme using an online machine learning algorithm and depth-image.The algorithm learns the relationship between depth images and measured throughputs, and estimates throughput from depth images.The scheme provides a quantitative metric for BS selection in handover without transmitting any control frames. We conducted a proof-of-concept experiment by using the shelf IEEE 802.11ad mmWave wireless local area network devices and an RGB-D camera.The experiment confirmed that in a situation where the throughput is limited to 1 Gbit/s, the proposed scheme estimates throughput from a depth image with an RMS error of 114--178 Mbit/s in real time. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | mmWave / machine learning / RGB-D camera / communication quality estimation / IEEE 802.11ad |
| Paper # | SR2016-55 |
| Date of Issue | 2016-10-20 (SR) |
| Conference Information | |
| Committee | SR |
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| Conference Date | 2016/10/27(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Osaka Univ. Nakanoshima Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Technical Exhibition, Product Exhibition, 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) | [Technology Exhibit] Realtime Throughput Estimation Using Depth Images for mmWave Communications |
| Sub Title (in English) | |
| Keyword(1) | mmWave |
| Keyword(2) | machine learning |
| Keyword(3) | RGB-D camera |
| Keyword(4) | communication quality estimation |
| Keyword(5) | IEEE 802.11ad |
| 1st Author's Name | Hironao Okamoto |
| 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 | Masahiro Morikura |
| 3rd Author's Affiliation | Kyoto University(Kyoto Univ.) |
| 4th Author's Name | Daisuke Murayama |
| 4th Author's Affiliation | NTT Corporation(NTT) |
| 5th Author's Name | Katsuya Nakahira |
| 5th Author's Affiliation | NTT Corporation(NTT) |
| Date | 2016-10-27 |
| Paper # | SR2016-55 |
| Volume (vol) | vol.116 |
| Number (no) | SR-276 |
| Page | pp.pp.1-6(SR), |
| #Pages | 6 |
| Date of Issue | 2016-10-20 (SR) |