Massive MIMO detection techniques: A survey
MA Albreem, M Juntti… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) is a key technology to meet the user demands
in performance and quality of services (QoS) for next generation communication systems …
in performance and quality of services (QoS) for next generation communication systems …
A comprehensive survey on 6G networks: Applications, core services, enabling technologies, and future challenges
Cellular Internet of Things (IoT) is considered as de facto paradigm to improve the
communication and computation systems. Cellular IoT connects massive number of physical …
communication and computation systems. Cellular IoT connects massive number of physical …
Sparse signal processing for grant-free massive connectivity: A future paradigm for random access protocols in the Internet of Things
The next wave of wireless technologies will proliferate in connecting sensors, machines, and
robots for myriad new applications, thereby creating the fabric for the Internet of Things (IoT) …
robots for myriad new applications, thereby creating the fabric for the Internet of Things (IoT) …
Massive connectivity with massive MIMO—Part I: Device activity detection and channel estimation
This two-part paper considers an uplink massive device communication scenario in which a
large number of devices are connected to a base station (BS), but user traffic is sporadic so …
large number of devices are connected to a base station (BS), but user traffic is sporadic so …
Sparse activity detection for massive connectivity
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 …
devices communicate with a base-station (BS) in a sporadic fashion. Device activity …
AMP-inspired deep networks for sparse linear inverse problems
M Borgerding, P Schniter… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Deep learning has gained great popularity due to its widespread success on many inference
problems. We consider the application of deep learning to the sparse linear inverse …
problems. We consider the application of deep learning to the sparse linear inverse …
A coded compressed sensing scheme for unsourced multiple access
VK Amalladinne, JF Chamberland… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article introduces a novel scheme, termed coded compressed sensing, for unsourced
multiple-access communication. The proposed divide-and-conquer approach leverages …
multiple-access communication. The proposed divide-and-conquer approach leverages …
A review of sparse recovery algorithms
EC Marques, N Maciel, L Naviner, H Cai, J Yang - IEEE access, 2018 - ieeexplore.ieee.org
Nowadays, a large amount of information has to be transmitted or processed. This implies
high-power processing, large memory density, and increased energy consumption. In …
high-power processing, large memory density, and increased energy consumption. In …
Towards massive connectivity support for scalable mMTC communications in 5G networks
The fifth generation of cellular communication systems is foreseen to enable a multitude of
new applications and use cases with very different requirements. A new 5G multi-service air …
new applications and use cases with very different requirements. A new 5G multi-service air …
NOMA-based random access with multichannel ALOHA
J Choi - IEEE Journal on Selected Areas in Communications, 2017 - ieeexplore.ieee.org
In nonorthogonal multiple access (NOMA), the power difference of multiple signals is
exploited for multiple access and successive interference cancellation is employed at a …
exploited for multiple access and successive interference cancellation is employed at a …