Near-capacity performance may be achieved with the aid of iterative decoding, where
extrinsic soft information is exchanged between the constituent decoders in order to improve …

We present and discuss several novel applications of deep learning for the physical layer.
By interpreting a communications system as an autoencoder, we develop a fundamental …

End-to-end learning of communications systems is a fascinating novel concept that has so
far only been validated by simulations for block-based transmissions. It allows learning of …

A new coded modulation scheme is proposed. At the transmitter, the concatenation of a
distribution matcher and a systematic binary encoder performs probabilistic signal shaping …

We extend the idea of end-to-end learning of communications systems through deep neural
network (NN)-based autoencoders to orthogonal frequency division multiplexing (OFDM) …

The FEC limit paradigm is the prevalent practice for designing optical communication
systems to attain a certain bit error rate (BER) without forward error correction (FEC). This …

The past decade has seen many advances in physical layer wireless communication theory
and their implementation in wireless systems. This textbook takes a unified view of the …

Wireless technology is a truly revolutionary paradigm shift, enabling multimedia
communications between people and devices from any location. It also underpins exciting …

It has been recognized by Zehavi (1992) that the performance of coded modulation over a
Rayleigh fading channel can be improved by bit-wise interleaving at the encoder output, and …

In this paper, achievable information rates (AIR) for fiber optical communications are
discussed. It is shown that AIRs such as the mutual information and generalized mutual …