… In order to achieve successful recovery at semantic level, we design semantic and channel
coding jointly in order to keep the meaning between ˆs and s unchanged, which is enabled …

… This gain resembles the gains seen from channel coding, which consume bandwidth, unlike
time domain oversampling. It appears that AE-OFDM is an appealing alternative receiver …

… Recently, deep learning achieves a breakthrough in semantic analysis task such as NLP, …
A deep learning based joint source-channel coding (JSCC) of text is proposed in [6], which …

… of the Hamming code, in the absence of requiring encoder and decoder functions. … (DOA)
estimation and channel estimation issues, we apply deep learning to a massive MIMO system, …

… low channel training overhead. In the following section, we show how machine/deep learning
… the promising directions, and (ii) the precoder network which learns how to predict the RF …

… We compare the performance of TBCC with RNN-based channel code on block code …
His research interests are in the areas of channel coding, information theory, deep learning, …

… coding, we adopt the GMD method to decompose the complex mmWave massive MIMO
channel … Another promising direction is to apply deep learning in the channel feedback issue to …

… We will show that training deep learning models with the NLL loss is asymptotically
equivalent to this problem which implies that conducting profiled SCA with deep learning can be …

… Next, we introduce how to obtain the channel samples using the DeepMIMO … deep learning
applications in mmWave and massive MIMO systems, described in detail in [41]. The channel …

… reliable, up-to-date channel estimates in vehicular communications. We … channel estimates
from various real-world environments. We then propose a deep learning-based channel …