Intelligent reflecting surface-assisted cognitive radio system
Cognitive radio (CR) is an effective solution to improve the spectral efficiency (SE) of
wireless communications by allowing the secondary users (SUs) to share spectrum with …
wireless communications by allowing the secondary users (SUs) to share spectrum with …
Estimating doubly-selective channels for hybrid mmWave massive MIMO systems: A doubly-sparse approach
In mmWave massive multiple-input multiple-output (mMIMO) systems, hybrid (digital/analog)
structure has been a prevalent option to balance system cost and performance. To facilitate …
structure has been a prevalent option to balance system cost and performance. To facilitate …
OFDM-based massive connectivity for LEO satellite Internet of Things
Y Zuo, M Yue, M Zhang, S Li, S Ni… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Low earth orbit (LEO) satellite has been considered as a potential supplement for the
terrestrial Internet of Things (IoT). In this paper, we consider grant-free non-orthogonal …
terrestrial Internet of Things (IoT). In this paper, we consider grant-free non-orthogonal …
Data aided quasistatic and doubly-selective CSI estimation using affine-precoded superimposed pilots in millimeter wave MIMO-OFDM systems
S Srivastava, J Nath… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper proposes affine-precoded superimposed pilot (SIP) design, followed by channel
state information (CSI) estimation techniques for millimeter wave (mmWave) MIMO-OFDM …
state information (CSI) estimation techniques for millimeter wave (mmWave) MIMO-OFDM …
Model-driven deep learning-based sparse channel representation and recovery for wideband MmWave massive MIMO systems
In this paper, we exploit a novel model-driven deep learning (MDDL)-based scheme for
efficient wideband millimeter-wave (mmWave) massive multiple-input multiple-output …
efficient wideband millimeter-wave (mmWave) massive multiple-input multiple-output …
Robust spectral analysis of multi-channel sinusoidal signals in impulsive noise environments
Z Zhou, L Huang, MG Christensen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Robust spectral analysis of the sinusoidal signals corrupted by impulsive noise poses a big
challenge in the signal processing community. In this paper, we address the issue of robust …
challenge in the signal processing community. In this paper, we address the issue of robust …
Active RIS assisted spectrum sharing: Able to achieve energy-efficient notable detection performance gains
X Li, Q Zhu, T Yu, Y Chen - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
Efficient radio resource utilization is crucially important for future wireless communication
systems. The advanced reconfigurable intelligent surface (RIS) has recently been …
systems. The advanced reconfigurable intelligent surface (RIS) has recently been …
Hardware Implementation of Task-Based Quantization in Multiuser Signal Recovery
X Zhang, H Zhang, N Glazer, O Cohen… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Quantization plays a critical role in digital signal processing systems, allowing the
representation of continuous-amplitude signals with a finite number of bits. However …
representation of continuous-amplitude signals with a finite number of bits. However …
Simplified Information Geometry Approach for Massive MIMO-OFDM Channel Estimation--Part I: Algorithm and Fixed Point Analysis
In this two-part paper, we investigate the channel estimation for massive multiple-input
multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. In Part I …
multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. In Part I …
Variance state propagation for structured sparse Bayesian learning
We propose a compressed sensing algorithm termed variance state propagation (VSP) for
block-sparse signals, ie, sparse signals that have nonzero coefficients occurring in clusters …
block-sparse signals, ie, sparse signals that have nonzero coefficients occurring in clusters …