Virtual Antenna Array for W-band Channel Sounding: Design, Implementation, and Experimental Validation
Sub-Terahertz (sub-THz) (i.e., 100‐300 GHz) communication is envisioned as one of the key components for future beyond fifth-generation (B5G) communication systems due […]
Joint Estimation of Clustered user Activity and Correlated Channels with Unknown Covariance in mMTC
This paper considers joint user identification and channel estimation (JUICE) in grant-free access with a clustered user activity pattern. In particular, we […]
Deep Learning Based Over-the-Air Channel Estimation Using a ZYNQ SDR Platform
Deep learning based channel estimation techniques have recently found an overwhelming interest owing to data-driven learning-based adaptability compared to conventional estimation techniques […]
Two-Stage Channel Estimation for Hybrid RIS Assisted MIMO Systems
Reconfigurable intelligent surfaces (RISs) have been proposed as a key enabler to improve the coverage of the signals and mitigate the frequent […]
Channel estimation and hybrid architectures for RIS-assisted communications
Reconfigurable intelligent surfaces (RISs) are considered as potential technologies for the upcoming sixth-generation (6G) wireless communication system. Various benefits brought by deploying […]
A Low Complexity Learning-Based Channel Estimation for OFDM Systems With Online Training
In this paper, we devise a highly efficient machine learning-based channel estimation for orthogonal frequency division multiplexing (OFDM) systems, in which the […]
Passive RIS vs. Hybrid RIS
The reconfigurable intelligent surface (RIS) plays an important role in maintaining the connectivity in millimeter wave (mmWave) MIMO systems when the direct […]
Intelligent Radio Signal Processing
Intelligent signal processing for wireless communications is a vital task in modern wireless systems, but it faces new challenges because of network […]
Performance Analysis on Machine Learning-Based Channel Estimation
Recently, machine learning-based channel estimation has attracted much attention. The performance of machine learning-based estimation has been validated by simulation experiments. However, […]
Iterative Reweighted Algorithms for Joint User Identification and Channel Estimation in Spatially Correlated Massive MTC
Joint user identification and channel estimation (JUICE) is a main challenge in grant-free massive machine-type communications (mMTC). The sparse pattern in users’ […]