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 …
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 …
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 …
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 …
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 …
Deep neural network augmented wireless channel estimation for preamble-based ofdm phy on zynq system on chip
Reliable and fast channel estimation is crucial for next-generation wireless networks
supporting a wide range of vehicular and low-latency services. Recently, deep learning (DL) …
supporting a wide range of vehicular and low-latency services. Recently, deep learning (DL) …
[HTML][HTML] Sensing and Deep CNN-Assisted Semi-Blind Detection for Multi-User Massive MIMO Communications
Attaining precise target detection and channel measurements are critical for guiding
beamforming optimization and data demodulation in massive multiple-input multiple-output …
beamforming optimization and data demodulation in massive multiple-input multiple-output …
Joint TRFI and deep learning for vehicular channel estimation
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 …
communications. However, IEEE 802.11 p frame structure employing low pilot density is not …