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Technical Committee on Smart Radio (SR) (Searched in: 2021)
Search Results: Keywords 'from:2021-11-04 to:2021-11-04'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SR | 2021-11-04 09:30 |
Online | Online | Direct RF undersampling method without anti-aliasing top filter Takashi Shiba (Tohoku Univ.), Suguru Kameda (Hiroshima Univ.), Noriharu Suematsu (Tohoku Univ.)  SR2021-41 |
Direct RF undersampling method is important technique for digital circuit and digital devices because sampling frequency... [more] | SR2021-41 pp.1-8 |
| SR | 2021-11-04 09:55 |
Online | Online | Wideband Single-bit Bandpass Delta Sigma Modulator Takashi Maehata (SEI), Noriharu Suematsu (Tohoku University) SR2021-42 |
In 5G and next-generation mobile communication systems, to achieve high-speed communication, massive multiple-input and ... [more] | SR2021-42 pp.9-16 |
| SR | 2021-11-04 10:20 |
Online | Online | SDR Implementation of Analog FM Broadcast Multipath Filter Kenji Rikitake (KRPEO/Pepabo R&D Institute) SR2021-43 |
Reduction of the reception degradation caused by multipath propagation is essential for the high-quality reception of an... [more] | SR2021-43 pp.17-24 |
| SR | 2021-11-04 10:55 |
Online | Online | Study on Differential Packet-Level Index Modulation for LPWA Mai Ohta (Fukuoka Univ.), Takeo Fujii (UEC) SR2021-44 |
In this study, packet-level index modulation (PLIM) method for LPWA (Low Power Wide Area) system is focused. The PLIM ha... [more] | SR2021-44 pp.25-30 |
| SR | 2021-11-04 11:20 |
Online | Online | Clustering Techniques for Performance Improved End Devices Under Poor Condition in LPWAN with Carrier Sense Shusuke Narieda (Mie Univ.), Takeo Fujii (UEC) SR2021-45 |
[more] | SR2021-45 pp.31-36 |
| SR | 2021-11-04 13:05 |
Online | Online | [Invited Talk]
Policy for dynamic frequency sharing Yasuhiro Yanagisako (MIC) SR2021-46 |
In recent years, the age of digital transformation is reached. In order to secure the spectrum on new radio utilization ... [more] | SR2021-46 p.37 |
| SR | 2021-11-04 14:05 |
Online | Online | [Invited Talk]
5G experimental trial based on smart spectrum in 5G-Enhance project Kenta Umebayashi (TUAT) SR2021-47 |
[more] | SR2021-47 pp.38-45 |
| SR | 2021-11-04 15:05 |
Online | Online | [Invited Lecture]
Radio Environment Imaging: Ongoing Challenge and Future Perspective Katsuya Suto (UEC) SR2021-48 |
It is essential for wireless communications to recognize radio propagation's spatial characteristics, including path los... [more] | SR2021-48 p.46 |
| SR | 2021-11-04 15:35 |
Online | Online | [Invited Lecture]
Sub-1GHz Wireless Coexistence of IEEE 802.11ah and IEEE 802.15g Yukimasa Nagai (Mitsubishi Electric Corp.) SR2021-49 |
920 MHz (Sub-1 GHz) has been attracting attention as a wireless communication band for the Internet of Things (IoT by lo... [more] | SR2021-49 pp.47-49 |
| SR | 2021-11-05 10:00 |
Online | Online | An evaluation of CNN using Deep Residual Learning for LTE and WLAN Systems Classification Teruji Ide (NIT, Kagoshima College), Rozeha A. Rashid, Leon Chin, M A Sarijari, Rubita Sudirman (UTM) SR2021-50 |
[more] | SR2021-50 pp.50-57 |
| SR | 2021-11-05 10:25 |
Online | Online | A Study on Faster Rardio Signal Detection Using Deep Learning Taichi Ohtsuji, Taro Abe, Katsuaki Suzuki, Toshiki Takeuchi (NEC) SR2021-51 |
In order to use the spectrum efficiently, it is required to be able to detect signals in real time and with high frequen... [more] | SR2021-51 pp.58-64 |
| SR | 2021-11-05 10:50 |
Online | Online | An evaluation of deep learning based direction finding method when coherent waves are incident on uniform circular array antennas Katsuo Miyamoto, Taichi Ohtsuji (NEC) SR2021-52 |
Estimating the direction of arrival (DoA) of radio waves is important for understanding the radio propagation environmen... [more] | SR2021-52 pp.65-71 |
| SR | 2021-11-05 11:15 |
Online | Online | Throughput Prediction by Radio Environment Correlation Recognition Using Crowd Sensing and Federated Learning Satoshi Nakaniida, Takeo Fujii (UEC) SR2021-53 |
We propose an approach using federated learning for predicting Wi-Fi and LTE transmission control protocol (TCP) through... [more] | SR2021-53 pp.72-78 |
| SR | 2021-11-05 13:00 |
Online | Online | Partitioned Path Loss Models Based on Coefficient of Determination Keita Katagiri, Takeo Fujii (UEC) SR2021-54 |
A path loss model is a fundamental method to roughly predict radio propagation characteristics. However, most convention... [more] | SR2021-54 pp.79-84 |
| SR | 2021-11-05 13:25 |
Online | Online | Optimization of Highly Efficiency Data Gathering for Event Detection in Wireless Sensor Networks Tsuyoshi Kobayashi, Taiki Suehiro, Osamu Takyu, Yasushi Fuwa (Shinshu Univ.) SR2021-55 |
[more] | SR2021-55 pp.85-90 |
| SR | 2021-11-05 13:50 |
Online | Online | Millimeter-Wave WBAN Fairness Improvement Method by Back-off Control Using Busy-Time Ratio Tsukasa Chida (Tohoku Univ.), Suguru Kameda (Hiroshima Univ.), Noriharu Suematsu (Tohoku Univ.) SR2021-56 |
Wireless Body Area Network (WBAN) using the millimeter-wave (mmW) band (60-GHz band) is expected to be one of the method... [more] | SR2021-56 pp.91-97 |
| SR | 2021-11-05 14:15 |
Online | Online | Initialization of forward method in CFAR outlier detection Yau Hong Leow, Kenta Umebayashi (TUAT), Janne Lehtomaki (UoO) SR2021-57 |
To solve the spectrum scarcity problem, energy detection (ED) is an effective technique to find the vacant spectrum for ... [more] | SR2021-57 pp.98-103 |
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