Mats Bengtsson

KTH Royal Institute of Technology, Chalmers University of Technology

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About

Mats Bengtsson is a researcher at the forefront of next-generation wireless communications, with a focus on spectrum sharing, energy-efficient biomedical communication, and high-frequency channel characterization. His work addresses critical challenges in 5G and beyond, particularly the complex task of enabling diverse services—from massive IoT to low-latency industrial access—through intelligent spectrum management. In his 2024 survey on machine learning for spectrum sharing, Bengtsson provides a comprehensive framework for dynamic resource allocation, a cornerstone for future wireless networks. He also pioneers energy-efficient communication techniques for medical implants and micro-robots, proposing reliable links that are vital for health monitoring and minimally invasive surgeries. His experimental study of delay and Doppler spreads at the 24 GHz ISM band, conducted using a robotic arm for mobility, offers essential insights into millimeter-wave channel behavior for mobile environments. With each of his highly cited papers accumulating 3–5 citations, Bengtsson’s work is shaping the practical deployment of advanced wireless systems, bridging theory and application in areas critical to both industrial and medical innovation.