We are excited to announce our publication, entitled » Novel Distribution Matcher Design for Short Length Frames Based on Non-Binary Convolutional Codes, » that have been presented at ACP conference in Wuhan, China.
We propose a distribution matcher that enables probabilistic constellation shaping while ensuring low-complexity dematching techniques. The proposal is based on non-binary convolutional codes, designed to respect a given optimal symbol distribution.