A survey of blockchain and artificial intelligence for 6G wireless communications
The research on the sixth-generation (6G) wireless communications for the development of
future mobile communication networks has been officially launched around the world. 6G …
future mobile communication networks has been officially launched around the world. 6G …
Joint radar and communication: A survey
Joint radar and communication (JRC) technology has become important for civil and military
applications for decades. This paper introduces the concepts, characteristics and …
applications for decades. This paper introduces the concepts, characteristics and …
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) …
Convolutional neural network-based multiple-rate compressive sensing for massive MIMO CSI feedback: Design, simulation, and analysis
Massive multiple-input multiple-output (MIMO) is a promising technology to increase link
capacity and energy efficiency. However, these benefits are based on available channel …
capacity and energy efficiency. However, these benefits are based on available channel …
Machine learning in the air
Thanks to the recent advances in processing speed, data acquisition and storage, machine
learning (ML) is penetrating every facet of our lives, and transforming research in many …
learning (ML) is penetrating every facet of our lives, and transforming research in many …
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 …
Iterative algorithm induced deep-unfolding neural networks: Precoding design for multiuser MIMO systems
Optimization theory assisted algorithms have received great attention for precoding design
in multiuser multiple-input multiple-output (MU-MIMO) systems. Although the resultant …
in multiuser multiple-input multiple-output (MU-MIMO) systems. Although the resultant …
Code-division OFDM joint communication and sensing system for 6G machine-type communication
The joint communication and sensing (JCS) system can provide higher spectrum efficiency
and load saving for 6G machine-type communication (MTC) applications by merging …
and load saving for 6G machine-type communication (MTC) applications by merging …
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 …
TransNet: Full attention network for CSI feedback in FDD massive MIMO system
Y Cui, A Guo, C Song - IEEE Wireless Communications Letters, 2022 - ieeexplore.ieee.org
Channel state information (CSI) is a key aspect of massive multi-input multi-output (MIMO)
system. It depicts important properties of transmission channels such as scattering, fading …
system. It depicts important properties of transmission channels such as scattering, fading …