Kenta Nagayama
Papers
2
Total Citations
22
H-Index
2
About
Kenta Nagayama is a leading researcher in indoor localization and wireless communication systems, with a focus on innovative antenna technologies. His primary research areas include RSSI-based and time-of-arrival (TOA) localization using leaky coaxial cables, as well as probabilistic neural networks for signal processing. Nagayama’s major contributions lie in developing cost-effective, high-accuracy indoor positioning systems that address the limitations of traditional methods. His most-cited work, "Two-Dimensional RSSI-Based Indoor Localization Using Multiple Leaky Coaxial Cables With a Probabilistic Neural Network" (2022, 19 citations), demonstrates a novel approach that leverages multiple leaky coaxial cables to achieve precise two-dimensional localization, outperforming conventional techniques. This work is particularly impactful for 5G and future communication technologies, where indoor positioning is critical. Additionally, his paper "Indoor Simultaneous TOA Estimation of Multiple Users Using Leaky Coaxial Cable" (2022) tackles the growing challenge of localizing multiple IoT devices simultaneously, with applications in healthcare, manufacturing, and robotics. Nagayama’s research is notable for its practical relevance and potential to enhance location-aware services in dense indoor environments, making him a key contributor to the advancement of smart infrastructure and ubiquitous connectivity.
Research Focus
Key Achievements
Top Papers
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- 2