6 papers · 1 filter
Semantic Error Control Coding with Foundation Models for Future Communications
Chentao Yue, Gaoyang Pang, Branka Vucetic +1
Classical channel decoding typically treats all information sequences as equally likely and relies primarily on the channel observations and code structure, without exploiting stat…
Semantic-Aided Iterative Decoding for Uplink Non-Orthogonal Transmission
Wenjing Wei, Chentao Yue, Branka Vucetic +1
This paper proposes semantic-aided iterative decoding (Sem-IR) for uplink non-orthogonal transmission of a shared natural-language source. K users each hold one segment of a common…
Semantic Ordered Statistics Decoding
Chentao Yue, Branka Vucetic, Yonghui Li
We propose a Semantic Ordered Statistics Decoder (sem-OSD), a soft decoder for short linear block codes carrying byte-streamed sources such as natural-language text. Sem-OSD inject…
Semantic Error Correction and Decoding for Short Block Codes
Jiafu Hao, Chentao Yue, Wanchun Liu +2
This paper presents a semantic-enhanced receiver framework for transmitting natural language sentences over noisy wireless channels using multiple short block codes. After ASCII en…
LLM-Viterbi: Semantic-Aware Decoding for Convolutional Codes
Zhengtong Li, Chentao Yue, Jiafu Hao +2
Traditional wireless communications rely solely on bit-level channel coding for error correction, without exploiting the inherent linguistic structure of the data source. This pape…
Optimal Linear MAP Decoding of Convolutional Codes
Yonghui Li, Chentao Yue, Branka Vucetic
In this paper, we propose a linear representation of BCJR maximum a posteriori probability (MAP) decoding of a rate 1/2 convolutional code (CC), referred to as the linear MAP decod…