Fumiyuki Adachi

Research interests

Publications

• Semi-Supervised Specific Emitter Identification Method Using Metric-Adversarial Training

  IEEE Internet of Things Journal · 2023 · https://doi.org/10.1109/jiot.2023.3240242

• NAS-AMR: Neural Architecture Search-Based Automatic Modulation Recognition for Integrated Sensing and Communication Systems

  IEEE Transactions on Cognitive Communications and Networking · 2022 · https://doi.org/10.1109/tccn.2022.3169740

• Few-Shot Specific Emitter Identification via Deep Metric Ensemble Learning

  IEEE Internet of Things Journal · 2022 · https://doi.org/10.1109/jiot.2022.3194967

• Federated Learning for Automatic Modulation Classification Under Class Imbalance and Varying Noise Condition

  IEEE Transactions on Cognitive Communications and Networking · 2021 · 10.1109/tccn.2021.3089738

• Multi-Task Learning for Generalized Automatic Modulation Classification Under Non-Gaussian Noise With Varying SNR Conditions

  IEEE Transactions on Wireless Communications · 2021 · https://doi.org/10.1109/twc.2021.3052222

• A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends, and Challenges

  IEEE Communications Surveys & Tutorials · 2021 · https://doi.org/10.1109/comst.2021.3059896

• Deep Learning for Wireless Communications: An Emerging Interdisciplinary Paradigm

  IEEE Wireless Communications · 2020 · 10.1109/mwc.001.1900491

• 6G: Opening New Horizons for Integration of Comfort, Security, and Intelligence

  IEEE Wireless Communications · 2020 · https://doi.org/10.1109/mwc.001.1900516

• Energy Efficiency Maximization in NOMA Enabled Backscatter Communications With QoS Guarantee

  IEEE Wireless Communications Letters · 2020 · 10.1109/lwc.2020.3031042

• Transfer Learning for Semi-Supervised Automatic Modulation Classification in ZF-MIMO Systems

  IEEE Journal on Emerging and Selected Topics in Circuits and Systems · 2020 · https://doi.org/10.1109/jetcas.2020.2992128

• Deep Reinforcement Learning for UAV Navigation Through Massive MIMO Technique

  IEEE Transactions on Vehicular Technology · 2019 · 10.1109/tvt.2019.2952549

• Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions

  IEEE Wireless Communications · 2019 · https://doi.org/10.1109/mwc.2019.1900027

• Transceiver Design and Multihop D2D for UAV IoT Coverage in Disasters

  IEEE Internet of Things Journal · 2018 · 10.1109/jiot.2018.2877504

• The Application of MIMO to Non-Orthogonal Multiple Access

  IEEE Transactions on Wireless Communications · 2015 · https://doi.org/10.1109/twc.2015.2475746

• Disaster-resilient networking: a new vision based on movable and deployable resource units

  IEEE Network · 2013 · 10.1109/mnet.2013.6574664

• Load-Balancing Spectrum Decision for Cognitive Radio Networks

  IEEE Journal on Selected Areas in Communications · 2011 · https://doi.org/10.1109/jsac.2011.110408

• Modulation, coding and signal processing for wireless communications - broadband CDMA techniques

  IEEE Wireless Communications · 2005 · 10.1109/mwc.2005.1421924

• Bit error rate analysis of DS-CDMA with joint frequency-domain equalization and antenna diversity combining

  IEICE Transactions on Communications · 2004

• Performance of multicode DS-CDMA using frequency domain equalisation in frequency selective fading channel

  Electronics Letters · 2003 · 10.1049/el:20030160

• Wideband DS-CDMA for next-generation mobile communications systems

  IEEE Communications Magazine · 1998 · https://doi.org/10.1109/35.714618

• Tree-structured generation of orthogonal spreadingcodes with different lengths for forward link of DS-CDMA mobile radio

  Electronics Letters · 1997 · 10.1049/el:19970022

• Time division multiple access methods for wireless personal communications

  IEEE Communications Magazine · 1995 · 10.1109/35.339881

• Combined effects of phase sweeping transmitter diversity and channel coding

  IEEE Transactions on Vehicular Technology · 1992 · 10.1109/25.142775

• BER performance of QDPSK with postdetection diversity reception in mobile radio channels

  IEEE Transactions on Vehicular Technology · 1991 · 10.1109/25.69994

• Crosscorrelation between the envelopes of 900 MHz signals received at a mobile radio base station site

  IEE Proceedings F Communications Radar and Signal Processing · 1986 · 10.1049/ip-f-1.1986.0083

Current projects

No projects listed.