… Additionally, deep learning combined with reinforcement learning … for the outstanding results
of Deep Learning models: … Error correcting codes for channel coding are used in order to …

… , deep learning based approach for designing channel codes … Several work also explored
applying deep learning to design … [9] proposes an adaptive deep learning algorithm for multi-…

… It, concatenated with Cyclic Redundancy Check (CRC), is adopted as the channel code
of the 5G control channel [2]. Its decoding methods include Successive Cancellation (SC) [1], …

… compatible with the channel coding used in 5G systems. Using 3GPP-defined channel
models, … We also show that the high performance can likely be attributed to DeepRx learning to …

… feedback, where no coding is allowed over the feedback channel. The previously described
… ) can be regarded as a Joint Source Channel Coding (JSCC) problem with side information …

… In general, the optimal compression and channel coding rates depend on the … of the channel
code. To simplify this task, we assume capacity-achieving channel codes over the channel, …

… A fundamental question in machine learning for channel coding is thus: how do we design
architectures for our neural encoders and decoders that give the appropriate inductive bias? …

… As opposed to other random-like channel codes with closeto-capacity performance, polar
codes exhibit a very regular (algebraic) structure. It is instructive to realize that the encoding …

… We observed during experimentation that, different from the prior-art (and Section III in
this paper) that employs deep learning for channel decoding where the DNNs are trained at …

Channel state information (CSI), which enables wireless systems to adapt their transmission
parameters to instantaneous channel … Numerical results reveal that deep learning brings a …