A tutorial on ultrareliable and low-latency communications in 6G: Integrating domain knowledge into deep learning
As one of the key communication scenarios in the fifth-generation and also the sixth-
generation (6G) mobile communication networks, ultrareliable and low-latency …
generation (6G) mobile communication networks, ultrareliable and low-latency …
Enabling AI in future wireless networks: A data life cycle perspective
Recent years have seen rapid deployment of mobile computing and Internet of Things (IoT)
networks, which can be mostly attributed to the increasing communication and sensing …
networks, which can be mostly attributed to the increasing communication and sensing …
Overview of deep learning-based CSI feedback in massive MIMO systems
Many performance gains achieved by massive multiple-input and multiple-output depend on
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …
An efficient specific emitter identification method based on complex-valued neural networks and network compression
Specific emitter identification (SEI) is a promising technology to discriminate the individual
emitter and enhance the security of various wireless communication systems. SEI is …
emitter and enhance the security of various wireless communication systems. SEI is …
Model-driven deep learning based channel estimation and feedback for millimeter-wave massive hybrid MIMO systems
This paper proposes a model-driven deep learning (MDDL)-based channel estimation and
feedback scheme for wideband millimeter-wave (mmWave) massive hybrid multiple-input …
feedback scheme for wideband millimeter-wave (mmWave) massive hybrid multiple-input …
Multi-resolution CSI feedback with deep learning in massive MIMO system
In massive multiple-input multiple-output (MIMO) system, user equipment (UE) needs to
send downlink channel state information (CSI) back to base station (BS). However, the …
send downlink channel state information (CSI) back to base station (BS). However, the …
Power efficient IRS-assisted NOMA
In this paper, we propose a downlink multiple-input single-output (MISO) transmission
scheme, which is assisted by an intelligent reflecting surface (IRS) consisting of a large …
scheme, which is assisted by an intelligent reflecting surface (IRS) consisting of a large …
Dilated convolution based CSI feedback compression for massive MIMO systems
Although the frequency-division duplex (FDD) massive multiple-input multiple-output (MIMO)
system can offer high spectral and energy efficiency, it requires to feedback the downlink …
system can offer high spectral and energy efficiency, it requires to feedback the downlink …
Pruning the pilots: Deep learning-based pilot design and channel estimation for MIMO-OFDM systems
MB Mashhadi, D Gündüz - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
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 …
Deep transfer learning-based downlink channel prediction for FDD massive MIMO systems
Artificial intelligence (AI) based downlink channel state information (CSI) prediction for
frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems …
frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems …