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Technical Committee on Smart Radio (SR) (Searched in: 2021)
Search Results: Keywords 'from:2022-01-24 to:2022-01-24'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SR | 2022-01-24 09:50 |
Online | Online | High-sensitivity detection method by signal waveform shaping in OFDM modulation Sotaro Ichikawa, Osamu Takyu (Shinshu Univ)  SR2021-58 |
[more] | SR2021-58 pp.1-6 |
| SR | 2022-01-24 10:15 |
Online | Online | Adaptive channel selection by co-channel interference power and occupancy estimation method in LoRa Gaku Kobayashi, Osamu Takyu (Shinshu Univ.), Koichi Adachi (The UEC), Mai Ohta (Fukuoka Univ.), Takeo Fujii (The UEC) SR2021-59 |
The authors have proposed a method for estimating the interference power and occupancy of other systems using chirp demo... [more] | SR2021-59 pp.7-10 |
| SR | 2022-01-24 10:50 |
Online | Online | [Invited Talk]
Research & Development of Robust CoMP for Millimeter Communications with Random Blockages Koji Ishibashi, Sota Uchimura (UEC), Tetsuya Iye, Yoshimi Fujii (KKE), Takahide Murakami, Hiroyuki Shinbo (KDDI Research, Inc.) SR2021-60 |
Next-generation mobile communications (Beyond 5G/6G) have to meet diverse demands of users such as ultra-high speed, low... [more] | SR2021-60 p.11 |
| SR | 2022-01-24 13:30 |
Online | Online | [Invited Talk]
10GbE fiber transmission 7.5GHz-band DBF using 1-bit direct digital RF transmitter Noriharu Suematsu, Ryo Tamura, Mizuki Motoyoshi, Suguru Kameda (Tohoku Univ) SR2021-61 |
In DBF system, large number of element antennas should have each transceivers. The transceiver can be separated to an ou... [more] | SR2021-61 pp.12-16 |
| SR | 2022-01-24 14:30 |
Online | Online | [Invited Talk]
Deep Learning-based Beamforming and Resource Allocation Optimization for Sub-6GHz/mmWave Integrated Networks Megumi Kaneko (NII) SR2021-62 |
[more] | SR2021-62 p.17 |
| SR | 2022-01-24 15:30 |
Online | Online | Priority message statistics of disaster and crisis management report sent from quasi-zenith satellite Michibiki Satoshi Takahashi (Hiroshima City Univ.) SR2021-63 |
The signals broadcast by the quasi-zenith satellite Michibiki include not only signals for positioning and augmentation,... [more] | SR2021-63 pp.18-24 |
| SR | 2022-01-24 15:55 |
Online | Online | Calibration of Measurement Error for Radio Map Keita Katagiri, Takeo Fujii (UEC) SR2021-64 |
[more] | SR2021-64 pp.25-30 |
| SR | 2022-01-24 16:20 |
Online | Online | Channel Selection of Environment-Adaptive Sensor Networks Using Channel Occupancy Rate Taiki Matsushima, Takeo Fujii (UEC) SR2021-65 |
In Wireless Sensor Networks (WSNs), it is possible to transmit packets efficiently by implementing an autonomous distrib... [more] | SR2021-65 pp.31-36 |
| SR | 2022-01-24 17:00 |
Online | Online | [Short Paper]
Deep reinforcement learning based secondary user transmit power control for cognitive radio networks Kouhei Katou, Xiaoyan Wang, Masahiro Umehira (Ibaraki Univ) SR2021-66 |
[more] | SR2021-66 pp.37-39 |
| SR | 2022-01-24 17:15 |
Online | Online | [Short Paper]
Deep Reinforcement learning based analog beamforming in cellular network Hang Zhou, Xiaoyan Wang, Masahiro Umehira (ibaraki Univ.) SR2021-67 |
[more] | SR2021-67 pp.40-42 |
| SR | 2022-01-24 17:30 |
Online | Online | [Short Paper]
Implementation of fractional delay filter for USRP software defined radio Syun'ya Yoshiyama, Yoji Yamada (NIT), Suguru Kameda (Hiroshima Univ.), Noriharu Suematsu (Tohoku Univ.) SR2021-68 |
This paper proposes a performance criterion for implementing subsample delay by means of relative delay differences. Con... [more] | SR2021-68 pp.43-45 |
| SR | 2022-01-24 17:45 |
Online | Online | Experimental evaluation of LO synchronization accuracy for USRP/daughter boards applying UHD timed commands Haruto Nakamura, Yoji Yamada (NIT), Suguru Kameda (Hiroshima Univ.), Noriharu Suematsu (Tohoku Univ.) SR2021-69 |
Local oscillator (LO) phase synchronization using UHD timed commands has been used as a method to establish phase synchr... [more] | SR2021-69 pp.46-53 |
| SR | 2022-01-25 09:00 |
Online | Online | Characteristics of Energy Detection Based Carrier Sense Shusuke Narieda (Mie Univ.), Takeo Fujii (UEC) SR2021-70 |
[more] | SR2021-70 pp.54-61 |
| SR | 2022-01-25 09:25 |
Online | Online | Sub-GHz Band LPWAN with Energy Detection Based Carrier Sense Shusuke Narieda (Mie Univ.), Takeo Fujii (UEC) SR2021-71 |
[more] | SR2021-71 pp.62-67 |
| SR | 2022-01-25 09:50 |
Online | Online | Performance Evaluation of Position Estimation with Power Detectors Delivered by Physical Wireless Parameter Conversion Sensor Networks Masafumi Oda, Osamu Takyu (Shinshu Univ.) SR2021-72 |
A method for position estimation using a large number of sensors has been studied, but the problem is that it takes time... [more] | SR2021-72 pp.68-72 |
| SR | 2022-01-25 10:25 |
Online | Online | Classification of tomato flowers shape for pollination using CNN and proof experiments Eisuke Fukuyama, Takefumi Hiraguri, Nobuhiko Itoh, Takuya Shindo, Hiroyuki Shimizu (NIT) SR2021-73 |
[more] | SR2021-73 pp.73-77 |
| SR | 2022-01-25 10:50 |
Online | Online | High efficiency of epidemic communications in drones swarm flight Tatsuya Kurosawa (NIT), Tomotaka Kimura (Doshisha Univ.), Takefumi Hiraguri (NIT) SR2021-74 |
[more] | SR2021-74 pp.78-81 |
| SR | 2022-01-25 11:15 |
Online | Online | An evaluation of CNN using Deep Residual Learning and Long Short-term Memory for LTE and WLAN Systems Classifications Teruji Ide (NIT, Kagoshima college), Rozeha Rashid, M A Sarijari (UTM) SR2021-75 |
In this study, we investigate and present a deep residual (ResNet) learning for modulation classification. The simulatio... [more] | SR2021-75 pp.82-89 |
| SR | 2022-01-25 13:10 |
Online | Online | [Short Paper]
Frequency Analyses for Measurement Results of LPWA Radiowave Propagation at Half Wavelength Intervals Shusuke Narieda, Natsuki Miyoshi, Tomoyuki Kawashima (Mie Univ.), Takeo Fujii (UEC), Hiroshi Naruse (Mie Univ.) SR2021-76 |
[more] | SR2021-76 pp.90-92 |
| SR | 2022-01-25 13:25 |
Online | Online | [Short Paper]
AI image analysis by drones on the sky Keita Endo (NIT), Tomotaka Kimura (Doshisha Univ.), Nobuhiko Itoh, Takefumi Hiraguri (NIT) SR2021-77 |
Smart agriculture has been garnering attention to improve the efficiency of agricultural works. For example, advanced te... [more] | SR2021-77 pp.93-95 |
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