4 papers
Joint Estimation of Clustered User Activity and Correlated Channels with Unknown Covariance in mMTC
Hamza Djelouat, Markus Leinonen, Markku Juntti
This paper considers joint user identification and channel estimation (JUICE) in grant-free access with a \emph{clustered} user activity pattern. In particular, we address the JUIC…
Joint Coherent and Non-Coherent Detection and Decoding Techniques for Heterogeneous Networks
Leatile Marata, Onel Luis Alcaraz López, Hamza Djelouat +3
Cellular networks that are traditionally designed for human-type communication (HTC) have the potential to provide cost effective connectivity to machine-type communication (MTC).…
An IoT-Based Framework for Remote Fall Monitoring
Ayman Al-Kababji, Abbes Amira, Faycal Bensaali +3
Fall detection is a serious healthcare issue that needs to be solved. Falling without quick medical intervention would lower the chances of survival for the elderly, especially if…
Iterative Reweighted Algorithms for Joint User Identification and Channel Estimation in Spatially Correlated Massive MTC
Hamza Djelouat, Markus Leinonen, Markku Juntti
Joint user identification and channel estimation (JUICE) is a main challenge in grant-free massive machine-type communications (mMTC). The sparse pattern in users' activity allows…