Koichi Takasugi

Papers

Total Citations

H-Index

About

Koichi Takasugi is a researcher advancing the frontiers of wireless communications, with a focus on integrating physical-world data to enhance network performance. His key research areas include 5G and next-generation wireless systems, millimeter-wave communications, and the innovative use of multi-modal sensing for link quality prediction. Takasugi’s major contribution lies in demonstrating how physical space information—specifically, multi-camera images—can be leveraged to predict wireless link quality in complex environments. His work on two-step wireless link quality prediction using visual data (5 citations) and 5G throughput prediction for 28 GHz channels (4 citations) addresses a critical challenge: ensuring reliable, high-speed connectivity for the ever-growing number of connected devices. By bridging computer vision and wireless engineering, Takasugi’s research offers a novel pathway to optimize network performance in dynamic, real-world settings. His studies are particularly relevant as mobile traffic surges and applications demand ultra-reliable low-latency communication. Through this interdisciplinary approach, Takasugi is helping to shape a future where wireless networks are not only faster but also context-aware and adaptive.