21 citations · 21 across the 11 of their papers we have counts for
10 papers · 1 filter
Adaptive and Self-Tuning SBL with Total Variation Priors for Block-Sparse Signal Recovery
Hamza Djelouat, Reijo Leinonen, Mikko J. Sillanpää +2
This letter addresses the problem of estimating block sparse signal with unknown group partitions in a multiple measurement vector (MMV) setup. We propose a Bayesian framework by a…
Low-Complexity Near-Field Channel Estimation for Hybrid RIS Assisted Systems
Rafaela Schroeder, Jiguang He, Hamza Djelouat +1
We investigate the channel estimation (CE) problem for hybrid RIS assisted systems and focus on the near-field (NF) regime. Different from their far-field counterparts, NF channels…
Device Detection and Channel Estimation in MTC with Correlated Activity Pattern
Hamza Djelouat, Mikko J. Sillanpää, Markku Juntti
This paper provides a solution for the activity detection and channel estimation problem in grant-free access with correlated device activity patterns. In particular, we consider a…
Hierarchical MTC User Activity Detection and Channel Estimation with Unknown Spatial Covariance
Hamza Djelouat, Mikko J. Sillanpää, Markus Leinonen +1
This paper addresses the joint user identification and channel estimation (JUICE) problem in machine-type communications under the practical spatially correlated channels model wit…
Joint Activity Detection and Channel Estimation for Clustered Massive Machine Type Communications
Leatile Marata, Onel Luis Alcaraz López, Andreas Hauptmann +2
Compressed sensing multi-user detection (CS-MUD) algorithms play a key role in optimizing grant-free (GF) non-orthogonal multiple access (NOMA) for massive machine-type communicati…
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).…
User Activity Detection and Channel Estimation of Spatially Correlated Channels via AMP in Massive MTC
Hamza Djelouat, Leatile Marata, Markus Leinonen +2
This paper addresses the problem of joint user identification and channel estimation (JUICE) for grant-free access in massive machine-type communications (mMTC). We consider the JU…
Spatial Correlation Aware Compressed Sensing for User Activity Detection and Channel Estimation in Massive MTC
Hamza Djelouat, Markus Leinonen, Markku Juntti
Grant-free access is considered as a key enabler to massive machine-type communications (mMTC) as it promotes energy-efficiency and small signalling overhead. Due to the sporadic u…
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…