Keita Katagiri

According to our database, Keita Katagiri authored at least 19 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Radio Map Extrapolation Using Compensated Empirical CDF Under Interference-Limited Observations.

Keita Katagiri, Koya Sato, Kei Inage, Takeo Fujii

IEEE Access, 2022

Radio Propagation Extrapolation by Using Multiple Separated Propagation Paths Estimated by Radio Map.

Shougo Matsuo, Sunao Miyamoto, Keita Katagiri, Takeo Fujii

Proceedings of the International Conference on Information Networking, 2022

Partitioned Path Loss Models Based on Coefficient of Determination.

Keita Katagiri, Takeo Fujii

Proceedings of the International Conference on Information Networking, 2022

Classification and Discretization of Shadowing Toward Low Storage Radio Map.

Keita Katagiri, Takeo Fujii

Proceedings of the 2022 International Conference on Artificial Intelligence in Information and Communication, 2022

2021

Dynamic Radio Map Using Statistical Hypothesis Testing.

Keita Katagiri, Koya Sato, Kei Inage, Takeo Fujii

IEEE Trans. Cogn. Commun. Netw., 2021

Clustering for Signal Power Distribution Toward Low Storage Crowdsourced Spectrum Database.

Yoji Uesugi, Keita Katagiri, Koya Sato, Kei Inage, Takeo Fujii

IEICE Trans. Commun., 2021

Channel Allocation for LoRaWanConsidering Intra-System and Inter-System Interferences.

Shinichiro Kakuda, Yudai Yamazaki, Keita Katagiri, Takeo Fujii, Osamu Takyu, Mai Ohta, Koichi Adachi

Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

Mesh-Clustering-Based Radio Maps Construction for Autonomous Distributed Networks.

Keita Katagiri, Takeo Fujii

Proceedings of the Twelfth International Conference on Ubiquitous and Future Networks, 2021

Low Storage Radio Map Using Statistical Inference.

Keita Katagiri, Takeo Fujii

Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2021

2020

Radio Environment Map Updating Procedure Considering Change of Surrounding Environment.

Keita Katagiri, Takeo Fujii

Proceedings of the 2020 IEEE Wireless Communications and Networking Conference Workshops, 2020

Experimental Verification of Shadowing Classification for Radio Map.

Keita Katagiri, Koya Sato, Kei Inage, Takeo Fujii

Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Measurement-based Spectrum Database for Wireless Distributed Networks Using Shadowing Classifier.

Keita Katagiri, Takeo Fujii

Proceedings of the 2020 International Conference on Artificial Intelligence in Information and Communication, 2020

2019

High Density Spectrum Sharing Method among Micro Operators considering Spectrum Database.

Hirofumi Nakajo, Yuya Aoki, Keita Katagiri, Takeo Fujii

Proceedings of the 2019 IEEE Wireless Communications and Networking Conference Workshop, 2019

Highly Accurate Prediction of Radio Propagation Using Model Classifier.

Keita Katagiri, Keita Onose, Koya Sato, Kei Inage, Takeo Fujii

Proceedings of the 89th IEEE Vehicular Technology Conference, 2019

Radio Environment Map Updating Procedure Based on Hypothesis Testing.

Keita Katagiri, Takeo Fujii

Proceedings of the 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, 2019

Demo: Highly Accurate Prediction of Radio Environment for V2V Communications.

Keita Katagiri, Takeo Fujii

Proceedings of the 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, 2019

2018

Crowdsourcing-Assisted Radio Environment Database for V2V Communication.

Keita Katagiri, Koya Sato, Takeo Fujii

Sensors, 2018

Low Storage, but Highly Accurate Measurement-Based Spectrum Database via Mesh Clustering.

Rei Hasegawa, Keita Katagiri, Koya Sato, Takeo Fujii

IEICE Trans. Commun., 2018

2017

Crowdsourcing-Assisted Radio Environment Maps for V2V Communication Systems.

Keita Katagiri, Koya Sato, Takeo Fujii

Proceedings of the 86th IEEE Vehicular Technology Conference, 2017