Channel state information prediction for 5G wireless communications: A deep learning approach

C Luo, J Ji, Q Wang, X Chen, P Li - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Channel state information (CSI) estimation is one of the most fundamental problems in
wireless communication systems. Various methods, so far, have been developed to conduct …

Pilot contamination reduction in TDD‐based massive MIMO systems

J Zhao, S Ni, Y Gong, Q Zhang - IET Communications, 2019 - Wiley Online Library
Channel estimation in time division duplexing (TDD)‐based massive multiple‐input multiple‐
output (MIMO) systems is heavily hampered by the pilot contamination, which constitutes a …

Secure relay selection with outdated csi in cooperative wireless vehicular networks: A dqn approach

EM Ghourab, L Bariah, S Muhaidat… - IEEE …, 2023 - ieeexplore.ieee.org
Cooperative communications is a core research area in wireless vehicular networks
(WVNs), thanks to its capability to provide a certain degree of fading mitigation and to …

Deep learning for massive MIMO: Challenges and future prospects

V Bhatia, MR Tripathy, P Ranjan - 2020 IEEE 9th International …, 2020 - ieeexplore.ieee.org
The wireless networks today are complex, massive and have dynamic capacity demands.
Increase in demand resulted into trouble in managing and monitoring the network …

On the maximum energy efficiency of random access-based OMA and NOMA in multirate environment

S Cao, F Hou - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
The paradigm of the upcoming 5G and beyond is the machine type communications (MTC),
where a large number of devices automatically operate wireless communications. Due to …

Receiver design to employ simultaneous wireless information and power transmission with joint CFO and channel estimation

A Rajaram, R Dinis, DNK Jayakody, N Kumar - IEEE Access, 2018 - ieeexplore.ieee.org
Radio-frequency energy harvesting (EH) is one of the enabling technologies for the next-
generation wireless communication systems. EH techniques are specifically used to improve …

On the Mathematical Modeling and Optimization for the Energy Efficiency Performance of CSMA-NOMA Random Access Networks With Channel Inversion

S Cao, F Hou - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
The paradigm of upcoming 5G and beyond is the massive machine type communications
(mMTC), where a large number of devices automatically operate wireless communications …

Novel energy-harvesting AF relaying schemes with channel estimation errors

Y Zhou, Y Chen - IEEE Systems Journal, 2019 - ieeexplore.ieee.org
Three novel structures using simultaneous wireless information and power transfer in
energy-harvesting (EH) amplify-and-forward relaying are investigated in this paper. Different …

Channel estimation based on learning automata for OFDM systems

F Salehi, MH Majidi, N Neda - International Journal of …, 2018 - Wiley Online Library
The abundant benefits of Orthogonal Frequency‐Division Multiplexing and its high flexibility
have resulted in its widespread applications in many telecommunication standards. One …

On the performance of deep learning models for uplink CSI prediction in vehicular environments

K Kord, A Elbery, S Sorour… - ICC 2021-IEEE …, 2021 - ieeexplore.ieee.org
Recently, there had been several proposals to use deep-learning based prediction models
in estimating channel state information (CSI). However, all of these proposals were …