LIGHTCODE: Light Analytical and Neural Codes for Channels with Feedback

SK Ankireddy, K Narayanan, H Kim - arXiv preprint arXiv:2403.10751, 2024 - arxiv.org
The design of reliable and efficient codes for channels with feedback remains a
longstanding challenge in communication theory. While significant improvements have been …

Coding for Gaussian Two-Way Channels: Linear and Learning-Based Approaches

J Kim, T Kim, AB Das, S Hosseinalipour… - arXiv preprint arXiv …, 2023 - arxiv.org
Although user cooperation cannot improve the capacity of Gaussian two-way channels
(GTWCs) with independent noises, it can improve communication reliability. In this work, we …

Interpreting Deepcode, a learned feedback code

Y Zhou, N Devroye, G Turan, M Zefran - arXiv preprint arXiv:2404.17519, 2024 - arxiv.org
Deep learning methods have recently been used to construct non-linear codes for the
additive white Gaussian noise (AWGN) channel with feedback. However, there is limited …

Do not Interfere but Cooperate: A Fully Learnable Code Design for Multi-Access Channels with Feedback

E Ozfatura, C Bian, D Gündüz - 2023 12th International …, 2023 - ieeexplore.ieee.org
Data-driven deep learning based code designs, including low-complexity neural decoders
for existing codes, or end-to-end trainable auto-encoders have exhibited impressive results …