Quantum machine learning for 6G communication networks: State-of-the-art and vision for the future

SJ Nawaz, SK Sharma, S Wyne, MN Patwary… - IEEE …, 2019 - ieeexplore.ieee.org
The upcoming fifth generation (5G) of wireless networks is expected to lay a foundation of
intelligent networks with the provision of some isolated artificial intelligence (AI) operations …

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 …

Deep neural network based channel estimation for massive MIMO-OFDM systems with imperfect channel state information

L Ge, Y Guo, Y Zhang, G Chen, J Wang… - IEEE Systems …, 2021 - ieeexplore.ieee.org
Massive multi-input multi-output (MIMO) has aroused extensive interest in communication
industry, as it can effectively increase communication system capacity and reduce transmit …

Brain-inspired wireless communications: Where reservoir computing meets MIMO-OFDM

SS Mosleh, L Liu, C Sahin… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Reservoir computing (RC) is a class of neuromorphic computing approaches that deals
particularly well with time-series prediction tasks. It significantly reduces the training …

Communications for improving policy computation in distributed POMDPs

R Nair, M Tambe, M Roth… - Proceedings of the Third …, 2004 - ieeexplore.ieee.org
Distributed Partially Observable Markov Decision Problems (POMDPs) are emerging as a
popular approach for modeling multiagent teamwork where a group of agents work together …

Using back propagation neural network for channel estimation and compensation in OFDM systems

CH Cheng, YP Cheng, WC Li… - … Conference on Complex …, 2013 - ieeexplore.ieee.org
In orthogonal frequency division multiplexing (OFDM) communication systems, due to the
environmental impact generated the multipath effect caucused signals distortion and …

Channel estimation in OFDM systems using neural network technology combined with a genetic algorithm

CH Cheng, YH Huang, HC Chen - Soft Computing, 2016 - Springer
Orthogonal frequency division multiplexing (OFDM) is a multicarrier modulation used in a
variety of broadband systems, such as asymmetric digital subscriber lines, very-high-speed …

Adaptive-slope squashing-function-based ANN for CSI estimation and symbol detection in SFBC-OFDM system

DS Kapoor, AK Kohli - Arabian Journal for Science and Engineering, 2021 - Springer
This paper presents an adaptive-slope squashing-function (ASF)-based artificial neural
network (ANN) for efficient estimation of smoothly time-varying multipath fading channels, in …

[PDF][PDF] Channel estimation technique for STBC coded MIMO system with multiple ANN blocks

P Gogoi, KK Sarma - International Journal of Computer …, 2012 - researchgate.net
In this work, a channel estimation technique based on Artificial Neural Networks (ANN) has
been proposed as an alternative to pilot based channel estimation technique for Space …