| Presentation | 2020-01-31 [Poster Presentation] A Study of MCS Index Prediction Using Depth Images for Bit-Rate Control in mmWave Communications Tomoya Mikuma, Takayuki Nishio, Masahiro Morikura, Yusuke Asai, Ryo Miyatake, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In millimeter-wave (mmWave) communications, link quality is decreased seriously when a line-of-sight (LOS) path is blocked by human bodies while its large bandwidth enables multi-Gbit/s transmission rates. In order to solve this degradation problem, a vision-assisted proactive network control scheme and a link quality prediction scheme have been proposed. However, the bit-rate needs to be controlled predictively in order to avoid high packet loss rates in a situation crowded with people. This paper proposes the proactive MCS Index prediction scheme for controlling the bit-rate predictively. Specifically, a deep neural network learns the relationship between measured depth images and MCS Index corresponding to the received power in several hundred milliseconds ahead of the time at which the depth images are obtained. Then, a future MCS Index can be directly predicted from depth images. The experimental results show that the proposed scheme reduces the outage probability and improves the average throughput in the proactive bit-rate control based on the predicted MCS Index. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | mmWave communication / IEEE 802.11ad / RGB-D camera / MCS Index prediction / bit-rate control |
| Paper # | SeMI2019-111 |
| Date of Issue | 2020-01-23 (SeMI) |
| Conference Information | |
| Committee | SeMI |
|---|---|
| Conference Date | 2020/1/30(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Susumu Ishihara(Shizuoka Univ.) |
| Vice Chair | Kazuya Monden(Hitachi) / Koji Yamamoto(Kyoto Univ.) |
| Secretary | Kazuya Monden(Kyoto Univ.) / Koji Yamamoto(NTT DOCOMO) |
| Assistant | Akira Uchiyama(Osaka Univ.) / Kenji Kanai(Waseda Univ.) / Masafumi Hashimoto(Osaka Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Sensor Network and Mobile Intelligence |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] A Study of MCS Index Prediction Using Depth Images for Bit-Rate Control in mmWave Communications |
| Sub Title (in English) | |
| Keyword(1) | mmWave communication |
| Keyword(2) | IEEE 802.11ad |
| Keyword(3) | RGB-D camera |
| Keyword(4) | MCS Index prediction |
| Keyword(5) | bit-rate control |
| 1st Author's Name | Tomoya Mikuma |
| 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 | Yusuke Asai |
| 4th Author's Affiliation | NTT(NTT) |
| 5th Author's Name | Ryo Miyatake |
| 5th Author's Affiliation | NTT(NTT) |
| Date | 2020-01-31 |
| Paper # | SeMI2019-111 |
| Volume (vol) | vol.119 |
| Number (no) | SeMI-406 |
| Page | pp.pp.51-52(SeMI), |
| #Pages | 2 |
| Date of Issue | 2020-01-23 (SeMI) |