| Presentation | 2021-09-10 Link Quality Prediction using Multiple cameras in Indoor Environment for Wireless LAN Systems Kahoko Takahashi, Riichi Kudo, Tomoaki Ogawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper proposes a received power prediction scheme that uses deep-neural-network based camera image object detection in indoor environments. The proposed scheme uses two-step machine learning. The first block detects the connected device using multiple camera images and the second block predicts the received signal strength index using the detected object’s information. To evaluate its performance, an autonomous locomotion robot was developed and indoor experiments were conducted using a wireless LAN system with 5.6 GHz channel. Experiments show that the proposal matched or bettered the performance of conventional robot position-based prediction regardless of lead time. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Link Quality Prediction / Wireless LAN / Machine Learning / Object Detection |
| Paper # | CQ2021-53 |
| Date of Issue | 2021-09-02 (CQ) |
| Conference Information | |
| Committee | CQ |
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| Conference Date | 2021/9/9(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Wireless Communications Quality, 6G, IoT, Resource Management, Wireless Transmission, Cross layer Technologies, etc. |
| Chair | Jun Okamoto(NTT) |
| Vice Chair | Takefumi Hiraguri(Nippon Inst. of Tech.) / Gou Hasegawa(Tohoku Univ.) |
| Secretary | Takefumi Hiraguri(NTT) / Gou Hasegawa(Ritsumeikan Univ.) |
| Assistant | Yoshiaki Nishikawa(NEC) / Ryoichi Kataoka(KDDI Research) / Kimiko Kawashima(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Communication Quality |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Link Quality Prediction using Multiple cameras in Indoor Environment for Wireless LAN Systems |
| Sub Title (in English) | |
| Keyword(1) | Link Quality Prediction |
| Keyword(2) | Wireless LAN |
| Keyword(3) | Machine Learning |
| Keyword(4) | Object Detection |
| 1st Author's Name | Kahoko Takahashi |
| 1st Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| 2nd Author's Name | Riichi Kudo |
| 2nd Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| 3rd Author's Name | Tomoaki Ogawa |
| 3rd Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| Date | 2021-09-10 |
| Paper # | CQ2021-53 |
| Volume (vol) | vol.121 |
| Number (no) | CQ-173 |
| Page | pp.pp.77-81(CQ), |
| #Pages | 5 |
| Date of Issue | 2021-09-02 (CQ) |