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UMEBAYASHI Kenta

Position

Professor

Affiliations

Division of Advanced Electrical and Electronics Engineering, Institute of Engineering
Life Science - Umebayashi Team, Institute of Global Innovation Research

Researcher ID

G-1084-2013

Professional Career

2004.04~2006.03: Research scientist, Centre for Wireless Communications, University of Oulu
2006.06~2007.03 : Research Associate, Tokyo University of Agriculture and Technology
2007.04~2013.07 : Assistant Professor, Tokyo University of Agriculture and Technology
2013.08~2018.07 : Associate Professor, Tokyo University of Agriculture and Technology
2018.08~2020.10 Associate Professor(Tenured), Tokyo University of Agriculture and Technology
2020.11~present : Professor, Tokyo University of Agriculture and Technology

Academic Degrees

Ph.D. in Engineering, Yokohama National University

Research Interests

Wireless Communications, Digital signal processing, Signal estimation and detection, Cognitive radio

Publications

  • Doaa Abdelhameed, Kenta Umebayashi, Italo Atzeni, and Antti Tolli,Enhanced Signal Detection and Constellation Design for Massive SIMO Communications with 1-Bit ADCs” in IEEE Access. 11, 11749-11765, DOI: 10.1109/ACCESS.2023.3242210, 2023
  • S. Ishihara, K. Umebayashi, and J. J. LehtomäkiEnergy Detection for M-QAM Signals”, in IEEE Access. 11, 6305-6319, DOI: 10.1109/ACCESS.2023.3237396, 2023
  • S. P. Sone, J. J. Lehtomäki, Z. Khan, K. Umebayashi, and Z. Javed, “Proactive Radar Protection System in Shared Spectrum via Forecasting Secondary User Power Levels” in IEEE Access, 10, 40367-40380, 2022
  • H. Iwata, K. Umebayashi, Al-Tahmeesschi, and J. J. Lehtomäki ” High-Efficiency FCME-based Noise Power Estimation for Long-Term and Wide-Band Spectrum Measurements,” in IEEE Access. 9, 149883-149893, 2021
  • M. Alzard, S. Althunibat, K. Umebayashi and N. Zorba, “Performance Analysis of Resource Allocation in THz-Based Subcarrier Index Modulation Systems for Mobile Users,” in IEEE Access, vol. 9, pp. 129771-129781, 2021.
  • A. Al-Tahmeesschi, K. Umebayashi, H. Iwata, J. Lehtomäki and M. López-Benítez, “Feature-Based Deep Neural Networks for Short-Term Prediction of WiFi Channel Occupancy Rate,” in IEEE Access, vol. 9, pp. 85645-85660, 2021
  • O. H. Toma, M. López-Benítez, D. K. Patel, and K. Umebayashi “Estimation of Primary Channel Activity Statistics in Cognitive Radio Based on Imperfect Spectrum Sensing” in IEEE Transaction on Communications, 68, 4, 2016-2031.
  • K. Umebayashi, Y. Tamaki, M. López-Benítez and J. J. Lehtomäki, “Design of Spectrum Usage Detection in Wideband Spectrum Measurements,” in IEEE Access, vol. 7, pp. 133725-133737, 2019.

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