LightCode: Light Analytical and Neural Codes for Channels with Feedback

The design of reliable and efficient codes for channels with feedback remains a longstanding challenge in communication theory. While significant improvements have been achieved by leveraging deep learning techniques, neural codes often suffer from high computational costs, a lack of interpretabilit...

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Veröffentlicht in:	arXiv.org 2024-11
Hauptverfasser:	Ankireddy, Sravan Kumar, Narayanan, Krishna, Kim, Hyeji
Format:	Artikel
Sprache:	eng
Schlagworte:	Channels Codes Coding Communication theory Communications systems Deep learning Feedback Mathematical analysis Regression analysis Reliability Signal to noise ratio
Online-Zugang:	Volltext
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