Deep learning-based channel prediction in realistic vehicular communications
Access to reliable estimates of the wireless channel, such as the channel state information
(CSI) and the received signal strength would open opportunities for timely adaptation of …
(CSI) and the received signal strength would open opportunities for timely adaptation of …
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 …
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 …
Recurrent neural network-based frequency-domain channel prediction for wideband communications
W Jiang, HD Schotten - 2019 IEEE 89th vehicular technology …, 2019 - ieeexplore.ieee.org
Outdated channel state information (CSI) severely degrades the performance of adaptive
transmission systems that adapt their transmissions to channel fading. In contrast with …
transmission systems that adapt their transmissions to channel fading. In contrast with …
A deep learning based channel estimation scheme for IEEE 802.11 p systems
S Han, Y Oh, C Song - ICC 2019-2019 IEEE International …, 2019 - ieeexplore.ieee.org
In this paper, we propose a novel deep learning based channel estimation scheme for IEEE
802.11 p vehicle-to-everything (V2X) communication systems. A major challenge in the V2X …
802.11 p vehicle-to-everything (V2X) communication systems. A major challenge in the V2X …
Deep UL2DL: Data-driven channel knowledge transfer from uplink to downlink
MS Safari, V Pourahmadi… - IEEE Open Journal of …, 2019 - ieeexplore.ieee.org
To remove the need for signaling overhead of feedback channels for transmitter channel
state information (CSI) in Frequency Division Duplexing (FDD), we propose using …
state information (CSI) in Frequency Division Duplexing (FDD), we propose using …
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 …
Learning the wireless V2I channels using deep neural networks
TH Li, MRA Khandaker, F Tariq… - 2019 IEEE 90th …, 2019 - ieeexplore.ieee.org
For high data rate wireless communication systems, developing an efficient channel
estimation approach is extremely vital for channel detection and signal recovery. With the …
estimation approach is extremely vital for channel detection and signal recovery. With the …
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 …
A deep learning method to predict fading channel in multi-antenna systems
W Jiang, HD Schotten - 2020 IEEE 91st Vehicular Technology …, 2020 - ieeexplore.ieee.org
Channel state information (CSI) plays a vital role in adaptive transmission systems, which
adapt their transmission parameters to instantaneous channel conditions. However, the CSI …
adapt their transmission parameters to instantaneous channel conditions. However, the CSI …