Recently, deep learned enabled end-to-end communication systems have been developed
to merge all physical layer blocks in the traditional communication systems, which make joint …

Wireless technologies are growing unprecedentedly with the advent and increasing
popularity of wireless services worldwide. With the advancement in technology, profound …

Deep learning has been used recently to learn error-correcting encoders and decoders
which may improve upon previously known codes in certain regimes. The encoders and …

As a promising solution for massive machine-type communication, grant-free non-
orthogonal multiple access (GF-NOMA) has received considerable attention in recent years …

A critical aspect of reliable communication involves the design of codes that allow
transmissions to be robustly and computationally efficiently decoded under noisy conditions …

As new deep-learned error-correcting codes continue to be introduced, it is important to
develop tools to interpret the designed codes and understand the training process. Prior …

A two-user interference channel is a canonical model for multiple one-to-one
communications, where two transmitters wish to communicate with their receivers via a …

Rapid change in the technology for seamless transmission of data at very high rate poses a
great challenge for system designers. Signal is highly affected by the Noise and Error …

Next-generation communication networks are expected to exploit recent advances in data
science and cutting-edge communications technologies to improve the utilization of the …

Deep-learned error-correcting codes have recently been shown to match and sometimes
improve upon analytically derived codes in certain regimes. One such code, TurboAE …