Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Djelouat, Hamza"'
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 possess a block-sparsity property, which is leveraged in the two deve
Externí odkaz:
http://arxiv.org/abs/2404.17411
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 machine-type communications (MTC) network operating in event-triggere
Externí odkaz:
http://arxiv.org/abs/2310.14578
This paper addresses the joint user identification and channel estimation (JUICE) problem in machine-type communications under the practical spatially correlated channels model with unknown covariance matrices. Furthermore, we consider an MTC network
Externí odkaz:
http://arxiv.org/abs/2310.10204
Autor:
Marata, Leatile, López, Onel Luis Alcaraz, Hauptmann, Andreas, Djelouat, Hamza, Alves, Hirley
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 communications (mMTC). However, current CS-MUD algorithms cannot be efficiently p
Externí odkaz:
http://arxiv.org/abs/2305.02935
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 JUICE in massive machine-type communications (mMTC) network under correlat
Externí odkaz:
http://arxiv.org/abs/2212.00116
Autor:
Marata, Leatile, López, Onel Luis Alcaraz, Djelouat, Hamza, Leinonen, Markus, Alves, Hirley, Juntti, Markku
Cellular networks that are traditionally designed for human-type communication (HTC) have the potential to provide cost effective connectivity to machine-type communication (MTC). However, MTC is characterized by unprecedented traffic in cellular net
Externí odkaz:
http://arxiv.org/abs/2209.13407
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 JUICE under a spatially correlated fading channel model as that reflects
Externí odkaz:
http://arxiv.org/abs/2112.04295
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 user activity in mMTC, joint user identification and channel estimation
Externí odkaz:
http://arxiv.org/abs/2104.08508
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 to solve the JUICE as a compressed sensing problem in a multiple measu
Externí odkaz:
http://arxiv.org/abs/2103.08242
Autor:
Al-Kababji, Ayman, Amira, Abbes, Bensaali, Faycal, Jarouf, Abdulah, Shidqi, Lisan, Djelouat, Hamza
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 living alone. Hence, the need is there for developing fall detection a
Externí odkaz:
http://arxiv.org/abs/2105.09461