All you need is feedback: Communication with block attention feedback codes

• URL: http://arxiv.org/abs/2206.09457v1
• Date: Sun, 19 Jun 2022 17:55:04 GMT
• Title: All you need is feedback: Communication with block attention feedback codes
• Authors: Emre Ozfatura, Yulin Shao, Alberto Perotti, Branislav Popovic, Deniz Gunduz
• Abstract summary: Communication over a feedback channel is one such problem. We introduce a novel learning-aided code design for feedback channels, called generalized block attention feedback (GBAF) codes.
• Score: 12.459538600658034
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Deep learning based channel code designs have recently gained interest as an alternative to conventional coding algorithms, particularly for channels for which existing codes do not provide effective solutions. Communication over a feedback channel is one such problem, for which promising results have recently been obtained by employing various deep learning architectures. In this paper, we introduce a novel learning-aided code design for feedback channels, called generalized block attention feedback (GBAF) codes, which i) employs a modular architecture that can be implemented using different neural network architectures; ii) provides order-of-magnitude improvements in the probability of error compared to existing designs; and iii) can transmit at desired code rates.

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