Compressive sensing-based adaptive active user detection and channel estimation: Massive access meets massive MIMO
This paper considers massive access in massive multiple-input multiple-output (MIMO)
systems and proposes an adaptive active user detection and channel estimation scheme …
systems and proposes an adaptive active user detection and channel estimation scheme …
Massive access in cell-free massive MIMO-based Internet of Things: Cloud computing and edge computing paradigms
This article studies massive access in cell-free massive multi-input multi-output (MIMO)-
based Internet of Things and solves the challenging active user detection (AUD) and …
based Internet of Things and solves the challenging active user detection (AUD) and …
Terahertz ultra-massive MIMO-based aeronautical communications in space-air-ground integrated networks
A Liao, Z Gao, D Wang, H Wang, H Yin… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
The emerging space-air-ground integrated network has attracted intensive research and
necessitates reliable and efficient aeronautical communications. This paper investigates …
necessitates reliable and efficient aeronautical communications. This paper investigates …
Wideband beamspace channel estimation for millimeter-wave MIMO systems relying on lens antenna arrays
Beamspace channel estimation is indispensable for millimeter-wave MIMO systems relying
on lens antenna arrays for achieving substantially increased data rates, despite using a …
on lens antenna arrays for achieving substantially increased data rates, despite using a …
Compressive sensing-based joint activity and data detection for grant-free massive IoT access
Massive machine-type communications (mMTC) are poised to provide ubiquitous
connectivity for billions of Internet-of-Things (IoT) devices. However, the required low-latency …
connectivity for billions of Internet-of-Things (IoT) devices. However, the required low-latency …
Wideband channel estimation with a generative adversarial network
E Balevi, JG Andrews - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
Communication at high carrier frequencies such as millimeter wave (mmWave) and
terahertz (THz) requires channel estimation for very large bandwidths at low SNR. Hence …
terahertz (THz) requires channel estimation for very large bandwidths at low SNR. Hence …
Data-driven deep learning based hybrid beamforming for aerial massive MIMO-OFDM systems with implicit CSI
In an aerial hybrid massive multiple-input multiple-output (MIMO) and orthogonal frequency
division multiplexing (OFDM) system, how to design a spectral-efficient broadband multi …
division multiplexing (OFDM) system, how to design a spectral-efficient broadband multi …
Estimation of broadband multiuser millimeter wave massive MIMO-OFDM channels by exploiting their sparse structure
In millimeter wave (mm-wave) massive multiple-input multiple-output (MIMO) systems,
acquiring accurate channel state information is essential for efficient beamforming (BF) and …
acquiring accurate channel state information is essential for efficient beamforming (BF) and …
Sparse channel estimation via hierarchical hybrid message passing for massive MIMO-OFDM systems
In this paper, we investigate a sparse channel estimation problem for broadband massive
multiple-input-multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) …
multiple-input-multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) …
EM-AMP-based joint active user detection and channel estimation in cell-free system
This article considers the massive access problem in an uplink cell-free multiple-input–
multiple-output (MIMO) system where massive potential users communicate with a set of …
multiple-output (MIMO) system where massive potential users communicate with a set of …