Massive MIMO systems for 5G and beyond networks—overview, recent trends, challenges, and future research direction

R Chataut, R Akl - Sensors, 2020 - mdpi.com
The global bandwidth shortage in the wireless communication sector has motivated the
study and exploration of wireless access technology known as massive Multiple-Input …

Artificial intelligence for channel estimation in multicarrier systems for B5G/6G communications: a survey

EC Vilas Boas, JDS e Silva, FAP de Figueiredo… - EURASIP Journal on …, 2022 - Springer
Multicarrier modulation allows for deploying wideband systems resilient to multipath fading
channels, impulsive noise, and intersymbol interference compared to single-carrier systems …

Deep neural networks for channel estimation in underwater acoustic OFDM systems

R Jiang, X Wang, S Cao, J Zhao, X Li - IEEE access, 2019 - ieeexplore.ieee.org
Orthogonal frequency division multiplexing (OFDM) provides a promising modulation
technique for underwater acoustic (UWA) communication systems. It is indispensable to …

A Markovian model-driven deep learning framework for massive MIMO CSI feedback

Z Liu, M del Rosario, Z Ding - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
Channel state information (CSI) plays a vital role in scheduling and capacity-approaching
transmission optimization of massive MIMO communication systems. In frequency division …

Complex-valued 2D-CNN equalization for OFDM signals in a photonics-aided MMW communication system at the D-band

K Wang, C Wang, W Li, Y Wang, J Ding… - Journal of Lightwave …, 2022 - opg.optica.org
Orthogonal frequency division multiplexing (OFDM) is a promising solution in photonics-
aided millimeter-wave (MMW) communication systems, which combine the features of fiber …

Adaptive modulation and coding using neural network based SNR estimation

S Kojima, K Maruta, CJ Ahn - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, we propose a novel Adaptive Modulation and Coding (AMC) scheme enabled
by Artificial Neural Network (ANN) aided Signal-to-Noise power Ratio (SNR) estimation. The …

Secure cooperative transmission with imperfect channel state information based on BPNN

H Song, H Wen, L Hu, S Chen… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, we study a secure cooperative transmission system in which a transmitter
(Alice) intends to send a secret message to an authorized receiver (Bob), with the aid of a …

A self-interference cancellation method based on deep learning for beyond 5G full-duplex system

WM Zhang, J Yin, D Wu, G Guo… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
While full-duplex wireless communications systems have substantial value to the wireless
communications field, such systems have been known to face challenges due to self …

A joint self-information and Markovian model-driven deep channel estimation and feedback model for millimeter-wave massive MIMO systems

RD Kadiyala, A Lokam, C Bhar - Wireless Networks, 2024 - Springer
The potential benefits of intelligent wireless communications with millimeter and massive
multiple-input multiple-output (M-MIMO) are depend on the obtainability of channel state …

Channel estimation in space time block coded MIMO-OFDM system using genetically evolved artificial neural network

A Sarwar, SM Shah, I Zafar - 2020 17th international bhurban …, 2020 - ieeexplore.ieee.org
Robust wireless communication systems are expected to have high transmission data rate,
system capacity and quality of service. Utilizing multi-carrier modulation technique like …