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 …

A comprehensive survey on 6G networks: Applications, core services, enabling technologies, and future challenges

A Shahraki, M Abbasi, MJ Piran… - arXiv preprint arXiv …, 2021 - arxiv.org
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 …

Sparse signal processing for grant-free massive connectivity: A future paradigm for random access protocols in the Internet of Things

L Liu, EG Larsson, W Yu, P Popovski… - IEEE Signal …, 2018 - ieeexplore.ieee.org
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) …

Massive connectivity with massive MIMO—Part I: Device activity detection and channel estimation

L Liu, W Yu - IEEE Transactions on Signal Processing, 2018 - ieeexplore.ieee.org
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 …

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 …

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 …

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 …

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 …

Towards massive connectivity support for scalable mMTC communications in 5G networks

C Bockelmann, NK Pratas, G Wunder, S Saur… - IEEE …, 2018 - ieeexplore.ieee.org
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 …

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 …