Kahoko Takahashi

According to our database, Kahoko Takahashi authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

2024

5G Throughput Prediction For 28 GHz Channels Using Physical Space Information.

Hisashi Nagata, Riichi Kudo, Kahoko Takahashi, Takafumi Fujita, Koichi Takasugi, Yuya Aoki, Yuki Horise, Yoshifumi Morihiro

Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

2023

Point Cloud-based Proactive Link Quality Prediction for Millimeter-wave Communications.

Shoki Ohta, Takayuki Nishio, Riichi Kudo, Kahoko Takahashi, Hisashi Nagata

CoRR, 2023

Spatial Frequency-based Feature Extraction for Point Cloud-based Proactive mmWave Link Quality Prediction.

Shoki Ohta, Takayuki Nishio, Riichi Kudo, Kahoko Takahashi, Hisashi Nagata

Proceedings of the IEEE Global Communications Conference, 2023

Robot-Network Co-optimization Using Deep Reinforcement Learning.

Hiroaki Shinmiya, Takato Motoo, Takuya Fujihashi, Riichi Kudo, Kahoko Takahashi, Tomoki Murakami, Takashi Watanabe, Shunsuke Saruwatari

Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

2022

Data augmentation for Convolutional LSTM based brain computer interface system.

Kahoko Takahashi, Zhe Sun, Jordi Solé-Casals, Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Hui-Hai Zhao, Shangkun Deng, Ruggero Micheletto

Appl. Soft Comput., 2022

QoE-driven Link Quality Prediction for Video Streaming in Mobile Networks.

Yitu Wang, Riichi Kudo, Yuya Aoki, Yoshifumi Morihiro, Kahoko Takahashi, Hisashi Nagata

Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Millimeter-wave Received Power Prediction Using Point Cloud Data and Supervised Learning.

Shoki Ohta, Takayuki Nishio, Riichi Kudo, Kahoko Takahashi

Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Two-step wireless link quality prediction using multi-camera images.

Hisashi Nagata, Riichi Kudo, Kahoko Takahashi, Tomoaki Ogawa, Koichi Takasugi

Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

2020

Experimental Validation of Link Quality Prediction Using Exact Self-Status of Mobility Robots in Wireless LAN Systems.

Riichi Kudo, Matthew Cochrane, Kahoko Takahashi, Takeru Inoue, Kohei Mizuno

IEICE Trans. Commun., 2020

Using vision-based object detection for link quality prediction in 5.6-GHz channel.

Riichi Kudo, Kahoko Takahashi, Takeru Inoue, Kohei Mizuno

EURASIP J. Wirel. Commun. Netw., 2020