Sohei Itahara - RankMe

24 papers B 2Journal 17Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-Generation DualSteer: Cross-Layer Traffic Control With Asymmetric RAN Feedback. IEEE Access Akito Suzuki, Sohei Itahara, Takeo Ogawara, Masaki Suzuki
2025	J	`jnl`	Toward Sustainable 6G Cellular System Core-Network-Level Traffic Aggregation: An Empirical Study. IEEE Access Takeo Ogawara, Sohei Itahara, Akito Suzuki, Masaki Suzuki
2025	J	`jnl`	When Converged Mobile Core Network Meets ISAC. IEEE Access Sohei Itahara, Kenichi Okonogi, Masaki Suzuki
2024	B	`conf`	Signaling Storm Mitigation by Geographically Distributed C-plane NF Placement and Routing. NetSoft Masayuki Kurata, Akio Ikami, Sohei Itahara, Masaki Suzuki
2023	—	`conf`	Always-Connected Enablement Base Station to eliminate the effects of RRC transitions delay. VTC Fall Takeo Ogawara, Kenichi Okonogi, Akito Suzuki, Masayuki Kurata, Sohei Itahara, Tomoyuki Nagano, Masaki Suzuki
2023	J	`jnl`	Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training With Non-IID Private Data. IEEE Trans. Mob. Comput. Sohei Itahara, Takayuki Nishio, Yusuke Koda, Masahiro Morikura, Koji Yamamoto
2022	J	`jnl`	Beamforming Feedback-Based Model-Driven Angle of Departure Estimation Toward Legacy Support in WiFi Sensing: An Experimental Study. IEEE Access Sohei Itahara, Sota Kondo, Kota Yamashita, Takayuki Nishio, Koji Yamamoto, Yusuke Koda
2022	J	`jnl`	Bi-Directional Beamforming Feedback-Based Firmware-Agnostic WiFi Sensing: An Empirical Study. IEEE Access Sota Kondo, Sohei Itahara, Kota Yamashita, Koji Yamamoto, Yusuke Koda, Takayuki Nishio, Akihito Taya
2022	J	`jnl`	Communication-Oriented Model Fine-Tuning for Packet-Loss Resilient Distributed Inference Under Highly Lossy IoT Networks. IEEE Access Sohei Itahara, Takayuki Nishio, Yusuke Koda, Koji Yamamoto
2022	—	`conf`	Frame-Capture-Based CSI Recomposition Pertaining to Firmware-Agnostic WiFi Sensing. CCNC Ryosuke Hanahara, Sohei Itahara, Kota Yamashita, Yusuke Koda, Akihito Taya, Takayuki Nishio, Koji Yamamoto
2022	—	`conf`	MAB-based Joint Optimization of Wireless LAN and Machine Learning for Communication-efficient Distributed Inference in Lossy Networks. VTC Spring Kojin Yorita, Sohei Itahara, Takayuki Nishio, Daiki Yoda, Toshihisa Nabetani
2022	J	`jnl`	Watch from sky: machine-learning-based multi-UAV network for predictive police surveillance. CoRR Ryusei Sugano, Ryoichi Shinkuma, Takayuki Nishio, Sohei Itahara, Narayan B. Mandayam
2021	J	`jnl`	Beamforming Feedback-based Model-driven Angle of Departure Estimation Toward Firmware-Agnostic WiFi Sensing. CoRR Sohei Itahara, Takayuki Nishio, Koji Yamamoto
2021	J	`jnl`	Bi-directional Beamforming Feedback-based Firmware-agnostic WiFi Sensing. CoRR Sota Kondo, Sohei Itahara, Kota Yamashita, Koji Yamamoto, Yusuke Koda, Takayuki Nishio, Akihito Taya
2021	J	`jnl`	Communication-oriented Model Fine-tuning for Packet-loss Resilient Distributed Inference under Highly Lossy IoT Networks. CoRR Sohei Itahara, Takayuki Nishio, Yusuke Koda, Koji Yamamoto
2021	J	`jnl`	Computer Vision-assisted Decimeter-level Single-antenna RSSI Localization Harnessing Dynamic Blockage Events. CoRR Tomoya Sunami, Sohei Itahara, Yusuke Koda, Takayuki Nishio, Koji Yamamoto
2021	J	`jnl`	Frame-Capture-Based CSI Recomposition Pertaining to Firmware-Agnostic WiFi Sensing. CoRR Ryosuke Hanahara, Sohei Itahara, Kota Yamashita, Yusuke Koda, Akihito Taya, Takayuki Nishio, Koji Yamamoto
2021	B	`conf`	Packet-Loss-Tolerant Split Inference for Delay-Sensitive Deep Learning in Lossy Wireless Networks. GLOBECOM Sohei Itahara, Takayuki Nishio, Koji Yamamoto
2021	J	`jnl`	Packet-Loss-Tolerant Split Inference for Delay-Sensitive Deep Learning in Lossy Wireless Networks. CoRR Sohei Itahara, Takayuki Nishio, Koji Yamamoto
2020	J	`jnl`	Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data. CoRR Sohei Itahara, Takayuki Nishio, Yusuke Koda, Masahiro Morikura, Koji Yamamoto
2020	—	`conf`	Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning. VTC Fall Sohei Itahara, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto
2020	J	`jnl`	Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning. CoRR Sohei Itahara, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto
2020	—	`conf`	Online Trainable Wireless Link Quality Prediction System using Camera Imagery. GLOBECOM (Workshops) Sohei Itahara, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto
2020	J	`jnl`	Online Trainable Wireless Link Quality Prediction System using Camera Imagery. CoRR Sohei Itahara, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto