Statistical tools and methodologies for ultrareliable low-latency communication—a tutorial

OLA López, NH Mahmood, M Shehab… - Proceedings of the …, 2023 - ieeexplore.ieee.org
Ultrareliable low-latency communication (URLLC) constitutes a key service class of the fifth
generation (5G) and beyond cellular networks. Notably, designing and supporting URLLC …

Statistical tools and methodologies for URLLC-a tutorial

OA López, M Shehab, NH Mahmood, H Alves… - Authorea …, 2023 - techrxiv.org
Ultra-reliable low-latency communication (URLLC) constitutes a key service class of the fifth
generation and beyond cellular networks. Notably, designing and supporting URLLC poses …

Gaussian message passing for overloaded massive MIMO-NOMA

L Liu, C Yuen, YL Guan, Y Li… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper considers a low-complexity Gaussian message passing (GMP) Multi-User
Detection (MUD) scheme for a coded massive multiple-input multiple-output (MIMO) system …

A low-complexity massive MIMO detection based on approximate expectation propagation

X Tan, YL Ueng, Z Zhang, X You… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Among various massive multiple-input multiple-output (MIMO) signal detection schemes,
expectation propagation (EP) achieves superior performance in high-dimensional systems …

Massive digital over-the-air computation for communication-efficient federated edge learning

L Qiao, Z Gao, MB Mashhadi… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
Over-the-air computation (AirComp) is a promising technology converging communication
and computation over wireless networks, which can be particularly effective in model …

Joint activity and blind information detection for UAV-assisted massive IoT access

L Qiao, J Zhang, Z Gao, D Zheng… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Grant-free non-coherent index-modulation (NC-IM) has been recently considered as an
efficient massive access scheme for enabling cost-and energy-limited Internet-of-Things …

A unified Bayesian inference framework for generalized linear models

X Meng, S Wu, J Zhu - IEEE Signal Processing Letters, 2018 - ieeexplore.ieee.org
In this letter, we present a unified Bayesian inference framework for generalized linear
models (GLM), which iteratively reduces the GLM problem to a sequence of standard linear …

One-bit quantized massive MIMO detection based on variational approximate message passing

Z Zhang, X Cai, C Li, C Zhong… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
One-bit quantization can significantly reduce the massive multiple-input and multiple-output
(MIMO) system hardware complexity, but at the same time it also brings great challenges to …

A concise tutorial on approximate message passing

Q Zou, H Yang - arXiv preprint arXiv:2201.07487, 2022 - arxiv.org
High-dimensional signal recovery of standard linear regression is a key challenge in many
engineering fields, such as, communications, compressed sensing, and image processing …

A low-complexity joint user activity, channel and data estimation for grant-free massive MIMO systems

Q Zou, H Zhang, D Cai, H Yang - IEEE Signal Processing …, 2020 - ieeexplore.ieee.org
This letter considers a joint user activity, channel and data estimation problem in an uplink
grant-free massive MIMO systems with low-precision analog-to-digital converters (ADCs) …