Joint TRFI and deep learning for vehicular channel estimation

AK Gizzini, M Chafii, A Nimr… - 2020 IEEE Globecom …, 2020 - ieeexplore.ieee.org
IEEE 802.11 p standard enables the wireless technology that defines vehicular
communications. However, IEEE 802.11 p frame structure employing low pilot density is not …

Temporal averaging LSTM-based channel estimation scheme for IEEE 802.11 p standard

AK Gizzini, M Chafii, S Ehsanfar… - 2021 IEEE global …, 2021 - ieeexplore.ieee.org
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 …

CNN aided weighted interpolation for channel estimation in vehicular communications

AK Gizzini, M Chafii, A Nimr… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
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 …

Deep learning based channel estimation schemes for IEEE 802.11 p standard

AK Gizzini, M Chafii, A Nimr, G Fettweis - IEEE Access, 2020 - ieeexplore.ieee.org
IEEE 802.11 p standard is specially developed to define vehicular communications
requirements and support cooperative intelligent transport systems. In such environment …

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 …

A deep learning-aided temporal spectral ChannelNet for IEEE 802.11 p-based channel estimation in vehicular communications

X Zhu, Z Sheng, Y Fang, D Guo - EURASIP Journal on Wireless …, 2020 - Springer
In vehicular communications using IEEE 802.11 p, estimating channel frequency response
(CFR) is a remarkably challenging task. The challenge for channel estimation (CE) lies in …

Deep learning-based channel prediction in realistic vehicular communications

J Joo, MC Park, DS Han, V Pejovic - IEEE Access, 2019 - ieeexplore.ieee.org
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 …

Channel estimation in C-V2X using deep learning

R Sattiraju, A Weinand… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Channel estimation forms one of the central component in current Orthogonal Frequency
Division Multiplexing (OFDM) systems that aims to eliminate the inter-symbol interference by …

Virtual subcarrier aided channel estimation schemes for tracking rapid time variant channels in IEEE 802.11 p systems

S Han, J Park, C Song - 2020 IEEE 91st Vehicular Technology …, 2020 - ieeexplore.ieee.org
This paper investigates the channel estimation schemes for tracking rapid time variant
channels in IEEE 802. 11p systems. To overcome the problems of the existing preamble …

GRU-based deep learning channel estimation scheme for the IEEE 802.11 p standard

J Hou, H Liu, Y Zhang, W Wang… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
In the IEEE 802.11 p standard, channel estimation is quite challenging in the presence of
high mobility due to rapid channel variations. Extensive research has been conducted on …