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Improved Non-Uniform Constellations for Non-Binary Codes Through Deep Reinforcement Learning

Rami Klaimi 1, 2 Stefan Weithoffer 2, 3 Charbel Abdel Nour 1, 2 
1 Lab-STICC_CODES - Equipe CODES
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance : UMR6285
3 Lab-STICC_2AI - Equipe Algorithm Architecture Interactions
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance : UMR6285
Abstract : Non-binary forward error correction (FEC) codes have been getting more attention lately in the coding society thanks mainly to their improved error correcting capabilities. Indeed, they reveal their full potential in the case of a oneto-one mapping between the code symbols over Galois fields (GF) and constellation points of the same order. Previously, we proposed non-binary FEC code designs targeting a given classical constellation through the optimization of the minimum Euclidean distance between candidate codewords. To go a step further, a better Euclidean distance spectrum can be achieved through the joint optimization of code parameters and positions of constellation symbols. However, this joint optimization for high order GFs reveals to be intractable in number of cases to evaluate. Therefore in this work, we propose a solution based on the multi-agent Deep Q-Network (DQN) algorithm. Applied to non-binary turbo codes (NB-TCs) over GF(64), the proposal largely improves performance by significantly lowering the error floor region of the resulting coded modulation scheme.
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https://hal.archives-ouvertes.fr/hal-03668962
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Submitted on : Monday, May 16, 2022 - 11:38:59 AM
Last modification on : Friday, August 5, 2022 - 2:54:52 PM

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  • HAL Id : hal-03668962, version 1

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Rami Klaimi, Stefan Weithoffer, Charbel Abdel Nour. Improved Non-Uniform Constellations for Non-Binary Codes Through Deep Reinforcement Learning. SPAWC 2022: IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication, Jul 2022, Oulu, Finland. ⟨hal-03668962⟩

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