M
Michael Cheffena
Researcher at Norwegian University of Science and Technology
Publications - 95
Citations - 1723
Michael Cheffena is an academic researcher from Norwegian University of Science and Technology. The author has contributed to research in topics: Fading & Wireless sensor network. The author has an hindex of 19, co-authored 82 publications receiving 1155 citations. Previous affiliations of Michael Cheffena include The Graduate Center, CUNY & UNIK.
Papers
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Physical Layer Security of Hybrid Satellite-FSO Cooperative Systems
TL;DR: The physical layer secrecy performance of a hybrid satellite and free-space optical (FSO) cooperative system is studied and it is found that with the AF with fixed gain scheme, the secrecy diversity order of the investigated system is only dependent on the channel characteristics of the FSO link and theFSO detection type, whereas the secrecy Diversity is zero when the relay node employs DF or AF with variable-gain schemes.
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On Physical Layer Security of Double Rayleigh Fading Channels for Vehicular Communications
TL;DR: The obtained results reveal the importance of taking the eavesdropper location uncertainty into consideration while designing V2V communication systems.
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Propagation Channel Characteristics of Industrial Wireless Sensor Networks [Wireless Corner]
TL;DR: A comprehensive review of radio wave propagation in an industrial environment is presented, and reported channel models and measurement results of path loss, noise, interference, multipath propagation, and time-varying channel conditions are discussed.
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Fall Detection Using Smartphone Audio Features
TL;DR: An automated fall detection system based on smartphone audio features is developed and the best performance is achieved using spectrogram features with ANN classifier with sensitivity, specificity, and accuracy all above 98%.
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Industrial wireless communications over the millimeter wave spectrum: opportunities and challenges
TL;DR: The opportunities, challenges, and design principles of industrial wireless communication over the mmWave spectrum are discussed and performance analysis of mmWave industrial systems with respect to channel capacity is conducted using a realistic physical-statistical-based channel model.