Takayuki Nishio

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 153

Top Venues

Publications

Hiroki Shimomura, Sota Kondo, Koji Yamamoto, Takayuki Nishio, Akihito Taya
Sensing SNR-Based Feature Selection of Beamforming Feedback Toward Firmware-Agnostic WiFi Sensing. IEEE Wirel. Commun. Lett. 13 (5) (2024)
Shoki Ohta, Cheng Chen, Takayuki Nishio
Proactive Millimeter-Wave Link Quality Prediction Utilizing Out-of-Band CSI Fingerprinting and Supervised Learning: An Experimental Study. CCNC (2024)
Takayuki Nishio, Kojin Yorita, Shoki Ohta, Kota Maejima, Kanare Kodera, Yutaro Horikawa, Kozo Fukui
Demo: Split Computing-Based Privacy-Preserving Image Classification and Object Detection. CCNC (2024)
Kota Maejima, Takayuki Nishio, Asato Yamazaki, Yuko Hara-Azumi
Tram-FL: Routing-based Model Training for Decentralized Federated Learning. CCNC (2024)
Shoki Ohta, Takayuki Nishio
$Λ$-Split: A Privacy-Preserving Split Computing Framework for Cloud-Powered Generative AI. CoRR (2023)
Sohei Itahara, Takayuki Nishio, Yusuke Koda, Masahiro Morikura, Koji Yamamoto
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training With Non-IID Private Data. IEEE Trans. Mob. Comput. 22 (1) (2023)
Hiroki Shimomura, Yusuke Koda, Takamochi Kanda, Koji Yamamoto, Takayuki Nishio, Akihito Taya
Vision-Aided Frame-Capture-Based CSI Recomposition for WiFi Sensing: A Multimodal Approach. CCNC (2023)
Asato Yamazaki, Takayuki Nishio, Yuko Hara-Azumi
Convergence Improvement by Parameters Exchange in Asynchronous Decentralized Federated Learning for Non-IID Data. SEAA (2023)
Shoki Ohta, Takayuki Nishio, Riichi Kudo, Kahoko Takahashi, Hisashi Nagata
Spatial Frequency-based Feature Extraction for Point Cloud-based Proactive mmWave Link Quality Prediction. GLOBECOM (2023)
Shoki Ohta, Takayuki Nishio, Riichi Kudo, Kahoko Takahashi, Hisashi Nagata
Point Cloud-based Proactive Link Quality Prediction for Millimeter-wave Communications. CoRR (2023)
Yuto Kihira, Yusuke Koda, Koji Yamamoto, Takayuki Nishio
Adversarial Reinforcement Learning-Based Coordinated Robust Spatial Reuse in Broadcast-Overlaid WLANs. IEICE Trans. Commun. 106 (2) (2023)
Kota Maejima, Takayuki Nishio, Asato Yamazaki, Yuko Hara-Azumi
Tram-FL: Routing-based Model Training for Decentralized Federated Learning. CoRR (2023)
Ryusei Sugano, Ryoichi Shinkuma, Takayuki Nishio, Narayan B. Mandayam
Watch From Sky: Machine-Learning-Based Multi-UAV Network for Predictive Police Surveillance. CCNC (2023)
Ryosuke Hanahara, Sohei Itahara, Kota Yamashita, Yusuke Koda, Akihito Taya, Takayuki Nishio, Koji Yamamoto
Frame-Capture-Based CSI Recomposition Pertaining to Firmware-Agnostic WiFi Sensing. CCNC (2022)
Akihito Taya, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto
Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Sohei Itahara, Sota Kondo, Kota Yamashita, Takayuki Nishio, Koji Yamamoto, Yusuke Koda
Beamforming Feedback-Based Model-Driven Angle of Departure Estimation Toward Legacy Support in WiFi Sensing: An Experimental Study. IEEE Access 10 (2022)
Mutsuki Nakahara, Mai Nishimura, Yoshitaka Ushiku, Takayuki Nishio, Kazuki Maruta, Yu Nakayama, Daisuke Hisano
Edge Computing-Assisted DNN Image Recognition System With Progressive Image Retransmission. IEEE Access 10 (2022)
Sota Kondo, Sohei Itahara, Kota Yamashita, Koji Yamamoto, Yusuke Koda, Takayuki Nishio, Akihito Taya
Bi-Directional Beamforming Feedback-Based Firmware-Agnostic WiFi Sensing: An Empirical Study. IEEE Access 10 (2022)
Takamochi Kanda, Yusuke Koda, Yuto Kihira, Koji Yamamoto, Takayuki Nishio
ACK-Less Rate Adaptation Using Distributional Reinforcement Learning for Reliable IEEE 802.11bc Broadcast WLANs. IEEE Access 10 (2022)
Masao Shinzaki, Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, Yushi Shirato, Daisei Uchida, Naoki Kita
Zero-Shot Adaptation for mmWave Beam-Tracking on Overhead Messenger Wires Through Robust Adversarial Reinforcement Learning. IEEE Trans. Cogn. Commun. Netw. 8 (1) (2022)
Kota Yamashita, Shotaro Kamiya, Koji Yamamoto, Yusuke Koda, Takayuki Nishio, Masahiro Morikura
Penalized and Decentralized Contextual Bandit Learning for WLAN Channel Allocation with Contention-Driven Feature Extraction. IEICE Trans. Commun. (10) (2022)
Shoki Ohta, Takayuki Nishio, Riichi Kudo, Kahoko Takahashi
Millimeter-wave Received Power Prediction Using Point Cloud Data and Supervised Learning. VTC Spring (2022)
Shoma Shimizu, Takayuki Nishio, Shota Saito, Yoichi Hirose, Yen-Hsiu Chen, Shinichi Shirakawa
Neural Architecture Search for Improving Latency-Accuracy Trade-off in Split Computing. CoRR (2022)
Kojin Yorita, Sohei Itahara, Takayuki Nishio, Daiki Yoda, Toshihisa Nabetani
MAB-based Joint Optimization of Wireless LAN and Machine Learning for Communication-efficient Distributed Inference in Lossy Networks. VTC Spring (2022)
Cheng Chen, Takayuki Nishio, Mehdi Bennis, Jihong Park
RF-Inpainter: Multimodal Image Inpainting Based on Vision and Radio Signals. IEEE Access 10 (2022)
Ryusei Sugano, Ryoichi Shinkuma, Takayuki Nishio, Sohei Itahara, Narayan B. Mandayam
Watch from sky: machine-learning-based multi-UAV network for predictive police surveillance. CoRR (2022)
Ayano Higuchi, Erina Takeshita, Daisuke Hisano, Yoshiaki Inoue, Kazuki Maruta, Takayuki Nishio, Yuko Hara-Azumi, Yu Nakayama
Aquatic Fronthaul for Underwater-Ground Communication in 6G Mobile Communications. VTC Spring (2022)
Sohei Itahara, Takayuki Nishio, Yusuke Koda, Koji Yamamoto
Communication-Oriented Model Fine-Tuning for Packet-Loss Resilient Distributed Inference Under Highly Lossy IoT Networks. IEEE Access 10 (2022)
Takayuki Nishio, Masataka Nakahara, Norihiro Okui, Ayumu Kubota, Yasuaki Kobayashi, Keizo Sugiyama, Ryoichi Shinkuma
Anomaly Traffic Detection with Federated Learning toward Network-based Malware Detection in IoT. GLOBECOM (2022)
Shoma Shimizu, Takayuki Nishio, Shota Saito, Yoichi Hirose, Yen-Hsiu Chen, Shinichi Shirakawa
Neural Architecture Search for Improving Latency-Accuracy Trade-off in Split Computing. GLOBECOM (Workshops) (2022)
Takamochi Kanda, Yusuke Koda, Koji Yamamoto, Takayuki Nishio
ACK-Less Rate Adaptation for IEEE 802.11bc Enhanced Broadcast Services Using Sim-to-Real Deep Reinforcement Learning. CCNC (2022)
Masao Shinzaki, Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, Yushi Shirato, Daisei Uchida, Naoki Kita
Zero-Shot Adaptation for mmWave Beam-Tracking on Overhead Messenger Wires through Robust Adversarial Reinforcement Learning. CoRR (2021)
Takumi Shiohara, Takayuki Nishio, Tutomu Murase
Evaluating effect of interference on MAC delay in densely deployed IEEE 802.11ad based In-vehicle communications. ICCE-TW (2021)
Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, Hirantha Abeysekera
Stochastic Geometry Analysis of Inversely Proportional Carrier Sense Threshold and Transmission Power for WLAN Spatial Reuse. IEICE Trans. Commun. (10) (2021)
Sohei Itahara, Takayuki Nishio, Koji Yamamoto
Packet-Loss-Tolerant Split Inference for Delay-Sensitive Deep Learning in Lossy Wireless Networks. CoRR (2021)
Takayuki Nishio, Yoshiaki Inoue, Yu Nakayama, Marie Katsurai
Joint Computation Offloading and Sampling Interval Optimization for Accuracy-Guaranteed Surveillance. CCNC (2021)
Sohei Itahara, Takayuki Nishio, Koji Yamamoto
Packet-Loss-Tolerant Split Inference for Delay-Sensitive Deep Learning in Lossy Wireless Networks. GLOBECOM (2021)
Sohei Itahara, Takayuki Nishio, Yusuke Koda, Koji Yamamoto
Communication-oriented Model Fine-tuning for Packet-loss Resilient Distributed Inference under Highly Lossy IoT Networks. CoRR (2021)
Shunnosuke Kotera, Bo Yin, Koji Yamamoto, Takayuki Nishio
Lyapunov Optimization-Based Latency-Bounded Allocation Using Deep Deterministic Policy Gradient for 11ax Spatial Reuse. IEEE Access 9 (2021)
Yuxiang Fu, Koji Yamamoto, Yusuke Koda, Takayuki Nishio, Masahiro Morikura, Chun-Hsiang Huang, Yushi Shirato, Naoki Kita
Stochastic Geometry Analysis of Wireless Backhaul Networks with Beamforming in Roadside Environments. IEICE Trans. Commun. (1) (2021)
Sota Kondo, Sohei Itahara, Kota Yamashita, Koji Yamamoto, Yusuke Koda, Takayuki Nishio, Akihito Taya
Bi-directional Beamforming Feedback-based Firmware-agnostic WiFi Sensing. CoRR (2021)
Sohei Itahara, Takayuki Nishio, Koji Yamamoto
Beamforming Feedback-based Model-driven Angle of Departure Estimation Toward Firmware-Agnostic WiFi Sensing. CoRR (2021)
Takamochi Kanda, Yusuke Koda, Koji Yamamoto, Takayuki Nishio
ACK-Less Rate Adaptation for IEEE 802.11bc Enhanced Broadcast Services Using Sim-to-Real Deep Reinforcement Learning. CoRR (2021)
Tomoya Sunami, Sohei Itahara, Yusuke Koda, Takayuki Nishio, Koji Yamamoto
Computer Vision-assisted Decimeter-level Single-antenna RSSI Localization Harnessing Dynamic Blockage Events. CoRR (2021)
Shunnosuke Kotera, Bo Yin, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, Hirantha Abeysekera
Latency-Aware Fair Scheduling for Spatial Reuse in WLANs: A Lyapunov Optimization Approach. CCNC (2021)
Ryosuke Hanahara, Sohei Itahara, Kota Yamashita, Yusuke Koda, Akihito Taya, Takayuki Nishio, Koji Yamamoto
Frame-Capture-Based CSI Recomposition Pertaining to Firmware-Agnostic WiFi Sensing. CoRR (2021)
Takayuki Nishio, Yusuke Koda, Jihong Park, Mehdi Bennis, Klaus Doppler
When Wireless Communications Meet Computer Vision in Beyond 5G. IEEE Commun. Stand. Mag. 5 (2) (2021)
Akihito Taya, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto
Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space. CoRR (2021)
Yusuke Koda, Masao Shinzaki, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, Yushi Shirato, Daisei Uchida, Naoki Kita
Millimeter Wave Communications on Overhead Messenger Wire: Deep Reinforcement Learning-Based Predictive Beam Tracking. IEEE Trans. Cogn. Commun. Netw. 7 (4) (2021)
Ryoko Nino, Takayuki Nishio, Tutomu Murase
Throughput Measurement for IEEE 802.11ad with Various Obstacles and Reflectors by Real Machines. LifeTech (2021)
Kazuki Ohtsu, Shotaro Kamiya, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, Noriyasu Kato
A Sequential WLAN Channel Selection Adaptive to Factors Outside the System. CCNC (2020)
Sohei Itahara, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto
Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning. VTC Fall (2020)
Yuto Kihira, Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura
Adversarial Reinforcement Learning-based Robust Access Point Coordination Against Uncoordinated Interference. CoRR (2020)
Naoya Yoshida, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto
MAB-based Client Selection for Federated Learning with Uncertain Resources in Mobile Networks. GLOBECOM (Workshops) (2020)
Bo Yin, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, Hirantha Abeysekera
Learning-Based Spatial Reuse for WLANs With Early Identification of Interfering Transmitters. IEEE Trans. Cogn. Commun. Netw. 6 (1) (2020)
Yusuke Koda, Masao Shinzaki, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, Yushi Shirato, Daisei Uchida, Naoki Kita
Millimeter Wave Communications on Overhead Messenger Wire: Deep Reinforcement Learning-Based Predictive Beam Tracking. CoRR (2020)
Yu Nakayama, Yuko Hara-Azumi, Anh Hoang Ngoc Nguyen, Daisuke Hisano, Yoshiaki Inoue, Takayuki Nishio, Kazuki Maruta
Real-Time Routing for Wireless Relay Fronthaul with Vehicle-Mounted Radio Units. VTC Spring (2020)
Takayuki Nishio, Yusuke Koda, Jihong Park, Mehdi Bennis, Klaus Doppler
When Wireless Communications Meet Computer Vision in Beyond 5G. CoRR (2020)
Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura
Differentially Private AirComp Federated Learning with Power Adaptation Harnessing Receiver Noise. CoRR (2020)
Masahiro Iwasaki, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto
Transfer Learning-Based Received Power Prediction with Ray-tracing Simulation and Small Amount of Measurement Data. VTC Fall (2020)
Ryoichi Shinkuma, Takayuki Nishio, Yuichi Inagaki, Eiji Oki
Data assessment and prioritization in mobile networks for real-time prediction of spatial information using machine learning. EURASIP J. Wirel. Commun. Netw. 2020 (1) (2020)
Yusuke Koda, Jihong Park, Mehdi Bennis, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura
Communication-Efficient Multimodal Split Learning for mmWave Received Power Prediction. CoRR (2020)
Yusuke Koda, Jihong Park, Mehdi Bennis, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, Kota Nakashima
Communication-Efficient Multimodal Split Learning for mmWave Received Power Prediction. IEEE Commun. Lett. 24 (6) (2020)
Naoya Yoshida, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto
MAB-based Client Selection for Federated Learning with Uncertain Resources in Mobile Networks. CoRR (2020)
Takayuki Nishio, Ryoichi Shinkuma, Narayan B. Mandayam
Estimation of Individual Device Contributions for Incentivizing Federated Learning. GLOBECOM (Workshops) (2020)
Jihong Park, Sumudu Samarakoon, Hamid Shiri, Mohamed K. Abdel-Aziz, Takayuki Nishio, Anis Elgabli, Mehdi Bennis
Extreme URLLC: Vision, Challenges, and Key Enablers. CoRR (2020)
Masahiro Iwasaki, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto
Transfer Learning-Based Received Power Prediction with Ray-tracing Simulation and Small Amount of Measurement Data. CoRR (2020)
Kota Nakashima, Shotaro Kamiya, Kazuki Ohtsu, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura
Deep Reinforcement Learning-Based Channel Allocation for Wireless LANs With Graph Convolutional Networks. IEEE Access 8 (2020)
Yusuke Koda, Kota Nakashima, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura
Cooperative Sensing in Deep RL-Based Image-to-Decision Proactive Handover for mmWave Networks. CCNC (2020)
Masao Shinzaki, Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, Chun-Hsiang Huang, Yushi Shirato, Naoki Kita
Deep Reinforcement Learning-based Beam Tracking from mmWave Antennas Installed on Overhead Messenger Wires. VTC Fall (2020)
Sohei Itahara, Takayuki Nishio, Yusuke Koda, Masahiro Morikura, Koji Yamamoto
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data. CoRR (2020)
Ryoko Nino, Takayuki Nishio, Tutomu Murase
IEEE 802.11ad Communication Quality Measurement in In-vehicle Wireless Communication with Real Machines. UEMCON (2020)
Masao Shinzaki, Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura
Reducing Transmission Delay in EDCA Using Policy Gradient Reinforcement Learning. CCNC (2020)
Sohei Itahara, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto
Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning. CoRR (2020)
Yusuke Koda, Kota Nakashima, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura
Handover Management for mmWave Networks With Proactive Performance Prediction Using Camera Images and Deep Reinforcement Learning. IEEE Trans. Cogn. Commun. Netw. 6 (2) (2020)
Sohei Itahara, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto
Online Trainable Wireless Link Quality Prediction System using Camera Imagery. CoRR (2020)
Taichi Sakakibara, Takayuki Nishio, Akihito Taya, Masahiro Morikura, Koji Yamamoto, Toshihisa Nabetani
Communication-Efficient Cooperative Contextual Bandit and Its Application to Wi-Fi BSS Selection. CCNC (2020)
Wangdong Deng, Shotaro Kamiya, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura
Thompson Sampling-Based Channel Selection Through Density Estimation Aided by Stochastic Geometry. IEEE Access 8 (2020)
Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura
Differentially Private AirComp Federated Learning with Power Adaptation Harnessing Receiver Noise. GLOBECOM (2020)
Wangdong Deng, Shotaro Kamiya, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura
Thompson Sampling-Based Heterogeneous Network Selection Considering Stochastic Geometry Analysis. CCNC (2020)
Shotaro Kamiya, Koji Yamamoto, Seong-Lyun Kim, Takayuki Nishio, Masahiro Morikura
SINR Distribution and Scheduling Gain Analysis of Uplink Channel-Adaptive Scheduling. IEEE Trans. Wirel. Commun. 19 (4) (2020)
Sohei Itahara, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto
Online Trainable Wireless Link Quality Prediction System using Camera Imagery. GLOBECOM (Workshops) (2020)
Naoya Yoshida, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto, Ryo Yonetani
Hybrid-FL for Wireless Networks: Cooperative Learning Mechanism Using Non-IID Data. ICC (2020)
Yu Nakayama, Takayuki Nishio, Daisuke Hisano, Kazuki Maruta
Small Cells Enabled by Crowdsourced Radio Units Mounted on Parked Vehicles for Smart City. IEEE Access 8 (2020)
Kota Yamashita, Shotaro Kamiya, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura
Contextual Bandit-Based Channel Selection for Wireless LANs with Interference-Driven Feature Extraction. CoRR (2020)
Yuto Kihira, Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura
Adversarial Reinforcement Learning-based Robust Access Point Coordination Against Uncoordinated Interference. VTC Fall (2020)
Takayuki Nishio, Ryoichi Shinkuma, Narayan B. Mandayam
Estimation of Individual Device Contributions for Incentivizing Federated Learning. CoRR (2020)
Yusuke Koda, Jihong Park, Mehdi Bennis, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura
Distributed Heteromodal Split Learning for Vision Aided mmWave Received Power Prediction. CoRR (2020)
Akihito Taya, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto
Concurrent Transmission Scheduling for Perceptual Data Sharing in mmWave Vehicular Networks. CoRR (2019)
Akihito Taya, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto
Concurrent Transmission Scheduling for Perceptual Data Sharing in mmWave Vehicular Networks. IEICE Trans. Inf. Syst. (5) (2019)
Akihito Taya, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto
Deep-Reinforcement-Learning-Based Distributed Vehicle Position Controls for Coverage Expansion in mmWave V2X. IEICE Trans. Commun. (10) (2019)
Wangdong Deng, Shotaro Kamiya, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura
Replica Exchange Spatial Adaptive Play for Channel Allocation in Cognitive Radio Networks. VTC Spring (2019)
Yusuke Koda, Kota Nakashima, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura
End-to-End Learning of Proactive Handover Policy for Camera-Assisted mmWave Networks Using Deep Reinforcement Learning. CoRR (2019)
Go Yamanaka, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto, Yuichi Maki, Shin'ichiro Eitoku, Takuya Indo
Geo-Fencing in Wireless LANs with Camera for Location-Based Access Control. CCNC (2019)
Ryoichi Shinkuma, Takayuki Nishio
Data Assessment and Prioritization in Mobile Networks for Real-Time Prediction of Spatial Information with Machine Learning. NMIC@ICDCS (2019)
Kota Nakashima, Shotaro Kamiya, Kazuki Ohtsu, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura
Deep Reinforcement Learning-Based Channel Allocation for Wireless LANs with Graph Convolutional Networks. VTC Fall (2019)
Keiji Yoshikawa, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura
Grid-Based Exclusive Region Design for 3D UAV Networks: A Stochastic Geometry Approach. IEEE Access 7 (2019)
Kota Nakashima, Shotaro Kamiya, Kazuki Ohtsu, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura
Deep Reinforcement Learning-Based Channel Allocation for Wireless LANs with Graph Convolutional Networks. CoRR (2019)
Yu Nakayama, Daisuke Hisano, Takayuki Nishio, Kazuki Maruta
Experimental Results on Crowdsourced Radio Units Mounted on Parked Vehicles. VTC Fall (2019)
Motoki Iwata, Koji Yamamoto, Bo Yin, Takayuki Nishio, Masahiro Morikura, Hirantha Abeysekera
Stochastic Geometry Analysis of Individual Carrier Sense Threshold Adaptation in IEEE 802.11ax WLANs. IEEE Access 7 (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Takayuki Nishio