Joint activity detection and channel estimation for clustered massive machine type communications

L Marata, OLA López, A Hauptmann… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
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 …

On OAMP: Impact of the orthogonal principle

L Liu, Y Cheng, S Liang, JH Manton… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Approximate Message Passing (AMP) is an efficient iterative parameter-estimation
technique for certain high-dimensional linear systems with non-Gaussian distributions, such …

High-Dimensional Multiple-Measurement-Vector Problem: Mutual Information and Message Passing

Q Zou, H Zhang - IEEE Transactions on Signal Processing, 2023 - ieeexplore.ieee.org
In this paper, we study the high-dimensional multiple-measurement-vector (MMV) problem,
which typically arises in massive machine-type communications (mMTC) that operates with …

Active detection and channel estimation schemes for massive random access in user-centric cell-free massive MIMO system

Y Hu, Q Wang, D Wang, X Xia… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The demand for higher transmission efficiency and denser user access has been put forth by
the next generation of wireless communication systems. To cater to the future …

On orthogonal approximate message passing

L Liu, Y Cheng, S Liang, JH Manton, L Ping - arXiv preprint arXiv …, 2022 - arxiv.org
Approximate Message Passing (AMP) is an efficient iterative parameter-estimation
technique for certain high-dimensional linear systems with non-Gaussian distributions, such …

Symbol Detection for Coarsely Quantized OTFS

J He, H Zhang, C Dong, H Zhu - IEEE Signal Processing Letters, 2024 - ieeexplore.ieee.org
This letter explicitly models a coarse and noisy quantization in a communication system
empowered by orthogonal time frequency space (OTFS) for cost and power efficiency. We …

Advanced signal processing techniques for machine type communications

L Marata - 2024 - oulurepo.oulu.fi
The rapid evolution of wireless technology has led to the emergence of new use cases and
the deployment of various types of communication devices across broad geographic areas …

Temporally-correlated massive access: joint user activity detection and channel estimation via vector approximate message passing

Y Xiong, W Li - EURASIP Journal on Advances in Signal Processing, 2024 - Springer
In the paper, we investigate a massive machine-type communication (mMTC), where
numerous single-antenna users communicate with a single-antenna base station while …

Decentralized detection for B5G massive MIMO: When local computation meets iterative algorithm

Q Yang, J Yan, X Zhang, H Zhang - Physical Communication, 2022 - Elsevier
Massive multiple-input multiple-output (MIMO) is a key enabler for 5G and beyond. For
signal detection of massive MIMO, computing resources available at the network edge were …

Joint Activity Detection and Channel Estimation in Massive Machine-Type Communications with Low-Resolution ADC

Y Xue, A Liu, Y Li, Q Shi, V Lau - ICC 2023-IEEE International …, 2023 - ieeexplore.ieee.org
In massive machine-type communications, data transmission is usually considered sporadic,
and thus inherently has a sparse structure. This paper focuses on the joint activity detection …