Wireless communications, signal processing, age of information, compressed sensing, machine-type communications
Markus Leinonen (Member, IEEE) received the B.Sc. (Tech.) and M.Sc. (Tech.) degrees in electrical engineering and the D.Sc. (Tech.) degree in communications engineering from the University of Oulu, Finland, in 2010, 2011, and 2018, respectively. In 2010, he joined the Centre for Wireless Communications, University of Oulu, where he is currently working as Academy of Finland Postdoctoral Researcher. In 2013, he was a Guest Researcher with the Technical University of Munich, Germany. In 2020, he was a Visiting Postdoctoral Researcher with the University of California San Diego (UCSD). His main research interests are time-critical and sparsity-aware wireless communications, including optimization and analysis of information freshness in status update systems and design of sparse signal recovery methods for channel estimation and user activity detection in massive machine-type communications.
- Age of information
- Compressed sensing
- Machine-type communications