3 papers
eess.SP2021
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…
cs.IT2021
Moment Generating Function of the AoI in Multi-Source Systems with Computation-Intensive Status Updates
Mohammad Moltafet, Markus Leinonen, Marian Codreanu
We consider a multi-source status update system in which status updates are transmitted as packets containing the measured value of the monitored process and a time stamp represent…
eess.SP2021
General Total Variation Regularized Sparse Bayesian Learning for Robust Block-Sparse Signal Recovery
Aditya Sant, Markus Leinonen, Bhaskar D. Rao
Block-sparse signal recovery without knowledge of block sizes and boundaries, such as those encountered in multi-antenna mmWave channel models, is a hard problem for compressed sen…