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Keita Katagiri
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2020 – today
- 2022
- [j5]Keita Katagiri
, Koya Sato
Radio Map Extrapolation Using Compensated Empirical CDF Under Interference-Limited Observations. IEEE Access 10: 54936-54946 (2022) - [c15]Keita Katagiri, Takeo Fujii:
Classification and Discretization of Shadowing Toward Low Storage Radio Map. ICAIIC 2022: 1-6 - [c14]Shougo Matsuo, Sunao Miyamoto, Keita Katagiri, Takeo Fujii:
Radio Propagation Extrapolation by Using Multiple Separated Propagation Paths Estimated by Radio Map. ICOIN 2022: 192-197 - [c13]Keita Katagiri, Takeo Fujii:
Partitioned Path Loss Models Based on Coefficient of Determination. ICOIN 2022: 198-203 - 2021
- [j4]Yoji Uesugi, Keita Katagiri, Koya Sato
Clustering for Signal Power Distribution Toward Low Storage Crowdsourced Spectrum Database. IEICE Trans. Commun. 104-B(10): 1237-1248 (2021) - [j3]Keita Katagiri, Koya Sato
Dynamic Radio Map Using Statistical Hypothesis Testing. IEEE Trans. Cogn. Commun. Netw. 7(3): 752-766 (2021) - [c12]Keita Katagiri, Takeo Fujii:
Low Storage Radio Map Using Statistical Inference. DySPAN 2021: 123-130 - [c11]Keita Katagiri, Takeo Fujii:
Mesh-Clustering-Based Radio Maps Construction for Autonomous Distributed Networks. ICUFN 2021: 345-349 - [c10]Shinichiro Kakuda, Yudai Yamazaki, Keita Katagiri, Takeo Fujii, Osamu Takyu, Mai Ohta, Koichi Adachi:
Channel Allocation for LoRaWanConsidering Intra-System and Inter-System Interferences. VTC Fall 2021: 1-7 - 2020
- [c9]Keita Katagiri, Takeo Fujii:
Measurement-based Spectrum Database for Wireless Distributed Networks Using Shadowing Classifier. ICAIIC 2020: 64-69 - [c8]Keita Katagiri, Koya Sato
Experimental Verification of Shadowing Classification for Radio Map. VTC Fall 2020: 1-7 - [c7]Keita Katagiri, Takeo Fujii:
Radio Environment Map Updating Procedure Considering Change of Surrounding Environment. WCNC Workshops 2020: 1-6
2010 – 2019
- 2019
- [c6]Keita Katagiri, Takeo Fujii:
Demo: Highly Accurate Prediction of Radio Environment for V2V Communications. DySPAN 2019: 1-2 - [c5]Keita Katagiri, Takeo Fujii:
Radio Environment Map Updating Procedure Based on Hypothesis Testing. DySPAN 2019: 1-6 - [c4]Keita Katagiri, Keita Onose, Koya Sato
Highly Accurate Prediction of Radio Propagation Using Model Classifier. VTC Spring 2019: 1-5 - [c3]Yoji Uesugi, Keita Katagiri, Koya Sato
Clustering of Signal Power Distribution toward Low Storage Crowdsourced Spectrum Database. VTC Fall 2019: 1-6 - [c2]Hirofumi Nakajo, Yuya Aoki, Keita Katagiri, Takeo Fujii:
High Density Spectrum Sharing Method among Micro Operators considering Spectrum Database. WCNC Workshops 2019: 1-5 - 2018
- [j2]Rei Hasegawa, Keita Katagiri, Koya Sato
Low Storage, but Highly Accurate Measurement-Based Spectrum Database via Mesh Clustering. IEICE Trans. Commun. 101-B(10): 2152-2161 (2018) - [j1]Keita Katagiri, Koya Sato
Crowdsourcing-Assisted Radio Environment Database for V2V Communication. Sensors 18(4): 1183 (2018) - 2017
- [c1]Keita Katagiri, Koya Sato
Crowdsourcing-Assisted Radio Environment Maps for V2V Communication Systems. VTC Fall 2017: 1-5
Coauthor Index
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