Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important role in realizing and optimizing 6G network applications. In this paper, we present a brief …
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) …
Multiple nations are now in the process of launching 5G mobile networks. All of the telecoms industry has been revolutionized by the concept of 5G networks. Since late 2018 …
M Chen, J Guo, CK Wen, S Jin, GY Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Massive multiple-input multiple-output can obtain more performance gain by exploiting the downlink channel state information (CSI) at the base station (BS). Therefore, studying CSI …
Specific emitter identification (SEI) plays an important role in secure Industrial Internet of Things (IIoT). In recent years, many SEI methods based on machine learning (ML) and deep …
H Xiao, W Tian, W Liu, J Shen - IEEE Wireless …, 2022 - ieeexplore.ieee.org
The increasing complexity on channel modeling and the cost on collecting plenty of high- quality wireless channel data have become the main bottlenecks of developing deep …
B Banerjee, RC Elliott, WA Krzymień… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
For implementation of massive multiple-input multiple-output (MIMO) cellular systems in frequency division duplex (FDD) mode, accurate estimation of downlink channel state …
J Guo, CK Wen, S Jin - IEEE Transactions on Communications, 2021 - ieeexplore.ieee.org
In frequency-division duplexing systems, the downlink channel state information (CSI) acquisition scheme leads to high training and feedback overhead. In this work, we propose …
G Fan, J Sun, G Gui, H Gacanin… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Due to the lack of channel reciprocity in frequency division duplexity (FDD) massive multiple- input multiple-output (MIMO) systems, it is impossible to infer the downlink channel state …