The main objective of 5G and beyond networks is to provide an optimal us...
In this study, we develop an active reconfigurable intelligent surface
(...
In 6G, the trend of transitioning from massive antenna elements to even ...
Future wireless networks require the ability to actively adjust the wire...
Much stringent reliability and processing latency requirements in
ultra-...
The stringent requirements on reliability and processing delay in the
fi...
Terahertz (THz)-band communications have been one of the promising
techn...
Massive multiuser multiple-input multiple-output (MU-MIMO) has been the
...
In frequency division duplex mode of massive multiple-input multiple-out...
Millimeter wave (mmWave) band, or high frequencies such as THz, has larg...
In this paper, we exploit the correlation between nearby user equipment ...
With the increasing application of deep learning (DL) algorithms in wire...
This paper proposes a model-driven deep learning-based downlink channel
...
Extremely large-scale massive multiple-input multiple-output (MIMO) has ...
Millimeter-wave (mmWave) cloud radio access networks (CRANs) provide new...
Deep learning (DL) has achieved great success in signal processing and
c...
In this paper, we investigate the model-driven deep learning (DL) for jo...
Massive multiple-input multiple-output (MIMO) is a promising technology ...
The deployment of extremely large-scale antenna array at the base statio...
Employing low-resolution analog-to-digital converters (ADCs) coupled wit...
This paper presents TurboNet, a novel model-driven deep learning (DL)
ar...
Channel estimation and signal detection are very challenging for an
orth...
Orthogonal frequency division multiplexing (OFDM), usually with sufficie...
In this paper, we study the design of secure communication for time divi...
Massive multiple-input multiple-output (MIMO) systems deploying a large
...
Orthogonal frequency division multiplexing (OFDM) is one of the key
tech...
Large intelligent surface (LIS)-assisted wireless communications have dr...
Although millimeter wave (mmWave) systems promise to offer larger bandwi...
In this article, we propose a model-driven deep learning (DL) approach t...
In this paper, we propose a model-driven deep learning network for
multi...
Intelligent communication is gradually considered as the mainstream dire...
Massive multiple-input multiple-output (MIMO) systems rely on channel st...
In this paper, we propose an efficient downlink channel reconstruction s...
We propose a low-resolution analog-to-digital converter (ADC) module ass...
Hybrid analog-digital precoding architectures and low-resolution
analog-...
The updated physical layer standard of the fifth generation wireless
com...
Channel estimation is very challenging when the receiver is equipped wit...
In this paper, we study the design of secure communication for time divi...
The use of low-resolution analog-to-digital converters (ADCs) can
signif...
In frequency division duplex mode, the downlink channel state informatio...