A GAN-LSTM based AI framework for 6G wireless channel prediction
Compared with conventional passive channel modeling, artificial intelligence (AI) based
channel models show great advantages in solving real-time prediction problems in wireless …
channel models show great advantages in solving real-time prediction problems in wireless …
A GAN-GRU Based Space-Time Predictive Channel Model for 6G Wireless Communications
The advent of sixth-generation (6 G) wireless communications has posed significant
challenges to channel modeling. Channel measurements cannot cover all scenarios and …
challenges to channel modeling. Channel measurements cannot cover all scenarios and …
Channel estimation using CNN-LSTM in RIS-NOMA assisted 6G network
The combination of non-orthogonal multiple access (NOMA) and reconfigurable intelligent
surface (RIS) technologies is proposed to meet the demands of data rate, latency, and …
surface (RIS) technologies is proposed to meet the demands of data rate, latency, and …
Long short-term memory network for wireless channel prediction
X Tong, S Sun - Signal and Information Processing, Networking and …, 2018 - Springer
In modern wireless systems, channel prediction is an effective way to overcome the
feedback delay of channel state information (CSI). When the receiver performs adaptive …
feedback delay of channel state information (CSI). When the receiver performs adaptive …
Performance evaluation over dl-based channel prediction algorithm on realistic csi
With the development of smart connected automated guided vehicles (AGVs) and robots,
many new services and applications occur, which require flexible wireless end-to-end …
many new services and applications occur, which require flexible wireless end-to-end …
A Frequency Domain Predictive Channel Model for 6G Wireless MIMO Communications Based on Deep Learning
The development of sixth-generation (6G) wireless communication systems brings
significant challenges in channel modeling. Conducting channel measurements for 6G …
significant challenges in channel modeling. Conducting channel measurements for 6G …
Deep Learning based Wireless Channel Prediction: 5G Scenario
R Varshney, C Gangal, M Sharique… - Procedia Computer …, 2023 - Elsevier
In the area of wireless communication, channel estimation is a challenging problem due to
the need for real-time implementation as well as system dependence on the estimation …
the need for real-time implementation as well as system dependence on the estimation …
Generative Network-based Channel Modeling and Generation for Air-to-Ground Communication Scenarios
In this letter, a novel conditional generative adversarial network (CGAN)-based channel
modeling method for A2G communication scenarios is proposed. The proposed method can …
modeling method for A2G communication scenarios is proposed. The proposed method can …
ChannelGAN: Deep learning-based channel modeling and generating
H Xiao, W Tian, W Liu, J Shen - IEEE Wireless …, 2022 - ieeexplore.ieee.org
The increasing complexity on channel modeling and the cost on collecting plenty of high-
quality wireless channel data have become the main bottlenecks of developing deep …
quality wireless channel data have become the main bottlenecks of developing deep …
[PDF][PDF] Fading channel prediction for 5G and 6G mobile communication systems
M Soszka - International Journal of Electronics and …, 2022 - repo.pw.edu.pl
Nowadays, there is a trend to employ adaptive solutions in mobile communication. The
adaptive transmission systems seem to answer the need for highly reliable communication …
adaptive transmission systems seem to answer the need for highly reliable communication …