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Compressed sensing for wireless communications: Useful tips and tricks
As a paradigm to recover the sparse signal from a small set of linear measurements,
compressed sensing (CS) has stimulated a great deal of interest in recent years. In order to …
compressed sensing (CS) has stimulated a great deal of interest in recent years. In order to …
[HTML][HTML] Overview of compressed sensing: Sensing model, reconstruction algorithm, and its applications
With the development of intelligent networks such as the Internet of Things, network scales
are becoming increasingly larger, and network environments increasingly complex, which …
are becoming increasingly larger, and network environments increasingly complex, which …
Massive access for 5G and beyond
Massive access, also known as massive connectivity or massive machine-type
communication (mMTC), is one of the main use cases of the fifth-generation (5G) and …
communication (mMTC), is one of the main use cases of the fifth-generation (5G) and …
Channel estimation for hybrid architecture-based wideband millimeter wave systems
Hybrid analog and digital precoding allows millimeter wave (mmWave) systems to achieve
both array and multiplexing gain. The design of the hybrid precoders and combiners …
both array and multiplexing gain. The design of the hybrid precoders and combiners …
Antenna array enabled space/air/ground communications and networking for 6G
Antenna arrays have a long history of more than 100 years and have evolved closely with
the development of electronic and information technologies, playing an indispensable role …
the development of electronic and information technologies, playing an indispensable role …
Pruning the pilots: Deep learning-based pilot design and channel estimation for MIMO-OFDM systems
With the large number of antennas and subcarriers the overhead due to pilot transmission
for channel estimation can be prohibitive in wideband massive multiple-input multiple-output …
for channel estimation can be prohibitive in wideband massive multiple-input multiple-output …
Compressive sensing techniques for next-generation wireless communications
A range of efficient wireless processes and enabling techniques are put under a magnifier
glass in the quest for exploring different manifestations of correlated processes, where sub …
glass in the quest for exploring different manifestations of correlated processes, where sub …
Hybrid knowledge-data driven channel semantic acquisition and beamforming for cell-free massive MIMO
This article focuses on advancing outdoor wireless systems to better support ubiquitous
extended reality (XR) applications, and close the gap with current indoor wireless …
extended reality (XR) applications, and close the gap with current indoor wireless …
FDD massive MIMO channel estimation with arbitrary 2D-array geometry
This paper addresses the problem of downlink channel estimation in frequency-division
duplexing massive multiple-input multiple-output systems. The existing methods usually …
duplexing massive multiple-input multiple-output systems. The existing methods usually …
Near-field channel estimation for extremely large-scale reconfigurable intelligent surface (XL-RIS)-aided wideband mmWave systems
Near-field communications present new opportunities over near-field channels, however,
the spherical wavefront propagation makes near-field signal processing challenging. In this …
the spherical wavefront propagation makes near-field signal processing challenging. In this …