A survey on deep learning based channel estimation in doubly dispersive environments
AK Gizzini, M Chafii - IEEE Access, 2022 - ieeexplore.ieee.org
Wireless communications systems are impacted by multi-path fading and Doppler shift in
dynamic environments, where the channel becomes doubly-dispersive and its estimation …
dynamic environments, where the channel becomes doubly-dispersive and its estimation …
Deep learning based channel estimation schemes for IEEE 802.11 p standard
IEEE 802.11 p standard is specially developed to define vehicular communications
requirements and support cooperative intelligent transport systems. In such environment …
requirements and support cooperative intelligent transport systems. In such environment …
Temporal averaging LSTM-based channel estimation scheme for IEEE 802.11 p standard
In vehicular communications, reliable channel estimation is critical for the system
performance due to the doubly-dispersive nature of vehicular channels. IEEE 802.11 p …
performance due to the doubly-dispersive nature of vehicular channels. IEEE 802.11 p …
Channel estimation based on deep learning in vehicle-to-everything environments
Channel estimation in vehicle-to-everything (V2X) communications is a challenging issue
due to the fast time-varying and non-stationary characteristics of wireless channel. To grasp …
due to the fast time-varying and non-stationary characteristics of wireless channel. To grasp …
CNN aided weighted interpolation for channel estimation in vehicular communications
IEEE 802.11 p standard defines wireless technology protocols that enable vehicular
transportation and manage traffic efficiency. A major challenge in the development of this …
transportation and manage traffic efficiency. A major challenge in the development of this …
Environment knowledge-aided massive MIMO feedback codebook enhancement using artificial intelligence
The autoencoder empowered by artificial intelligence has shown considerable potential in
solving channel state information (CSI) feedback problems in frequency-division duplexing …
solving channel state information (CSI) feedback problems in frequency-division duplexing …
Joint model and data-driven receiver design for data-dependent superimposed training scheme with imperfect hardware
Data-dependent superimposed training (DDST) scheme has shown the potential to achieve
high bandwidth efficiency, while encounters symbol misidentification caused by hardware …
high bandwidth efficiency, while encounters symbol misidentification caused by hardware …
Symbol detection and channel estimation for space optical communications using neural network and autoencoder
Optical wireless communications in space are degraded by atmospheric turbulence, light
attenuation, and detector noise. In this paper, we develop a neural network (NN) channel …
attenuation, and detector noise. In this paper, we develop a neural network (NN) channel …
Neural network-based channel estimation and detection in spatial modulation VLC systems
KWS Palitharathna, HA Suraweera… - IEEE …, 2022 - ieeexplore.ieee.org
We consider a spatial modulation aided indoor visible light communication system with user
mobility and random receiver orientation. Two artificial neural networks (ANNs) are …
mobility and random receiver orientation. Two artificial neural networks (ANNs) are …
Low complexity LSTM-NN-based receiver for vehicular communications in the presence of high-power amplifier distortions
Vehicular communications are an important focus of studies for 5G applications and beyond.
However, in a scenario with doubly-selective and highly variable channel characteristics …
However, in a scenario with doubly-selective and highly variable channel characteristics …