Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges
Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …
intelligence tool is widely researched to intelligentize communication and networking …
An overview of wireless communication technology using deep learning
J Jiao, X Sun, L Fang, J Lyu - China Communications, 2021 - ieeexplore.ieee.org
With the development of 5G, the future wireless communication network tends to be more
and more intelligent. In the face of new service demands of communication in the future such …
and more intelligent. In the face of new service demands of communication in the future such …
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 …
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 …
DeepWiPHY: Deep learning-based receiver design and dataset for IEEE 802.11 ax systems
In this work, we develop DeepWiPHY, a deep learning-based architecture to replace the
channel estimation, common phase error (CPE) correction, sampling rate offset (SRO) …
channel estimation, common phase error (CPE) correction, sampling rate offset (SRO) …
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 …
Deep learning-based packet detection and carrier frequency offset estimation in IEEE 802.11 ah
V Ninkovic, A Valka, D Dumic, D Vukobratovic - IEEE Access, 2021 - ieeexplore.ieee.org
Wi-Fi systems based on the IEEE 802.11 standards are the most popular wireless interfaces
that use Listen Before Talk (LBT) method for channel access. The distinctive feature of a …
that use Listen Before Talk (LBT) method for channel access. The distinctive feature of a …
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 …
high mobility due to rapid channel variations. Extensive research has been conducted on …
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 …