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Quantum machine learning for 6G communication networks: State-of-the-art and vision for the future
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 …
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
Multicarrier modulation allows for deploying wideband systems resilient to multipath fading
channels, impulsive noise, and intersymbol interference compared to single-carrier systems …
channels, impulsive noise, and intersymbol interference compared to single-carrier systems …
Deep neural networks for channel estimation in underwater acoustic OFDM systems
Orthogonal frequency division multiplexing (OFDM) provides a promising modulation
technique for underwater acoustic (UWA) communication systems. It is indispensable to …
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
Massive multi-input multi-output (MIMO) has aroused extensive interest in communication
industry, as it can effectively increase communication system capacity and reduce transmit …
industry, as it can effectively increase communication system capacity and reduce transmit …
Brain-inspired wireless communications: Where reservoir computing meets MIMO-OFDM
Reservoir computing (RC) is a class of neuromorphic computing approaches that deals
particularly well with time-series prediction tasks. It significantly reduces the training …
particularly well with time-series prediction tasks. It significantly reduces the training …
Communications for improving policy computation in distributed POMDPs
Distributed Partially Observable Markov Decision Problems (POMDPs) are emerging as a
popular approach for modeling multiagent teamwork where a group of agents work together …
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 …
environmental impact generated the multipath effect caucused signals distortion and …
Channel estimation in OFDM systems using neural network technology combined with a genetic algorithm
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 …
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 …
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
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 …
been proposed as an alternative to pilot based channel estimation technique for Space …