Data-driven compressed sensing for massive wireless access

Y Bai, W Chen, F Sun, B Ai… - IEEE Communications …, 2022 - ieeexplore.ieee.org
The central challenge in massive machine-type communications (mMTC) is to connect a
large number of uncoordinated devices through a limited spectrum. The typical mMTC …

Massive random access with sporadic short packets: Joint active user detection and channel estimation via sequential message passing

JC Jiang, HM Wang - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
This paper considers an uplink massive machine-type communication (mMTC) scenario,
where a large number of user devices are connected to a base station (BS). A novel grant …

Message passing-based joint user activity detection and channel estimation for temporally-correlated massive access

W Zhu, M Tao, X Yuan, Y Guan - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper studies the user activity detection and channel estimation problem in a
temporally-correlated massive access system where a very large number of users …

Spatial correlation aware compressed sensing for user activity detection and channel estimation in massive MTC

H Djelouat, M Leinonen, M Juntti - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Grant-free access is considered as a key enabler for massive machine-type communications
(mMTC) as it promotes energy-efficiency and small signalling overhead. Due to the sporadic …

Deep-learned approximate message passing for asynchronous massive connectivity

W Zhu, M Tao, X Yuan, Y Guan - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper considers the massive connectivity problem in an asynchronous grant-free
random access system, where a huge number of devices sporadically transmit data to a …

Reliable activity detection for massive machine to machine communication via multiple measurement vector compressed sensing

F Monsees, C Bockelmann… - 2014 IEEE Globecom …, 2014 - ieeexplore.ieee.org
Compressed sensing based multiuser detection is a novel research field in massive
machine to machine communication. Mainly focusing at decreasing signaling overhead, this …

A grant-free method for massive machine-type communication with backward activity level estimation

H Xiao, W Chen, J Fang, B Ai… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Massive machine type communications (mMTC) is one of the three major scenarios of the
fifth generation (5G) communication system, and raises new challenges for the development …

Deep Learning for Asynchronous Massive Access with Data Frame Length Diversity

Y Bai, W Chen, B Ai, P Popovski - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Grant-free non-orthogonal multiple access has been regarded as a viable approach to
accommodate access for a massive number of machine-type devices with small data …

Sparse activity detection for massive connectivity

Z Chen, F Sohrabi, W Yu - IEEE Transactions on Signal …, 2018 - ieeexplore.ieee.org
This paper considers the massive connectivity application in which a large number of
devices communicate with a base-station (BS) in a sporadic fashion. Device activity …

Joint user identification and channel estimation via exploiting spatial channel covariance in mMTC

H Djelouat, M Leinonen, L Ribeiro… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
Grant-free random access is a key enabler in massive machine-type communications
(mMTC) to reduce signalling overhead and latency thereby improving the energy efficiency …