Feature-aided adaptive-tuning deep learning for massive device detection

X Shao, X Chen, Y Qiang, C Zhong… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
With the increasing development of Internet of Things (IoT), the upcoming sixth-generation
(6G) wireless network is required to support grant-free random access of a massive number …

Intelligent reflecting surface-aided integrated terrestrial-satellite networks

H Dong, C Hua, L Liu, W Xu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) is a novel technology to manipulate wireless propagation
channels via smart and controllable signal reflection. In this paper, we investigate an IRS …

Unsourced random massive access with beam-space tree decoding

J Che, Z Zhang, Z Yang, X Chen… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
The core requirement of massive Machine-Type Communication (mMTC) is to support
reliable and fast access for an enormous number of machine-type devices (MTDs). In many …

Compressive sensing with prior support quality information and application to massive MIMO channel estimation with temporal correlation

X Rao, VKN Lau - IEEE Transactions on Signal Processing, 2015 - ieeexplore.ieee.org
In this paper, we consider the problem of compressive sensing (CS) recovery with a prior
support and the prior support quality information available. Different from classical works …

Omnidirectional precoding based transmission in massive MIMO systems

X Meng, X Gao, XG Xia - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Common signals in public channels of cellular systems should be transmitted
omnidirectionally from the base station (BS) to ensure cell-wide coverage. In this paper, we …

Intelligent fault diagnosis of a reciprocating compressor using mode isolation convolutional deep belief networks

Y Zhang, J Ji - IEEE/ASME Transactions On Mechatronics, 2020 - ieeexplore.ieee.org
Due to the complex transfer paths of vibration signals, and a large number of vibration
excitations, fault diagnosis of reciprocating compressors (RCs) has become one of the most …

Deep learning-based channel estimation for high-dimensional signals

E Balevi, JG Andrews - arXiv preprint arXiv:1904.09346, 2019 - arxiv.org
We propose a novel deep learning-based channel estimation technique for high-
dimensional communication signals that does not require any training. Our method is …

Joint channel estimation and user grouping for massive MIMO systems

J Dai, A Liu, VKN Lau - IEEE Transactions on Signal …, 2018 - ieeexplore.ieee.org
This paper addresses the problem of joint downlink channel estimation and user grouping in
massive multiple-input multiple-output (MIMO) systems, where the motivation comes from …

Over-the-air federated multi-task learning over MIMO multiple access channels

C Zhong, H Yang, X Yuan - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
With the explosive growth of data and wireless devices, federated learning (FL) over
wireless medium has emerged as a promising technology for large-scale distributed …

Q-learning-enabled channel access in next-generation dense wireless networks for IoT-based eHealth systems

R Ali, YA Qadri, Y Bin Zikria, T Umer, BS Kim… - EURASIP Journal on …, 2019 - Springer
One of the key applications for the Internet of Things (IoT) is the eHealth service that targets
sustaining patient health information in digital environments, such as the Internet cloud with …