Separate Source Channel Coding Is Still What You Need:An LLM-Based Rethinking  

作　　者：REN Tianqi LI Rongpeng ZHAO Mingmin CHEN Xianfu LIU Guangyi YANG Yang ZHAO Zhifeng ZHANG Honggang 

机构地区：[1]College of Information Science and Electronic Engineering,Zhejiang University,Hangzhou 310027,China [2]Shenzhen CyberAray Network Technology Co.,Ltd.,Shenzhen 518000,China [3]China Mobile Research Institute,Beijing 100053,China [4]The Internet of Things Thrust,The Hong Kong University of Science and Technology(Guangzhou),Guangzhou 511453,China [5]Zhejiang Lab,Hangzhou 311121,China [6]Faculty of Data Science,City University of Macao,Macao 999078,China

出　　处：《ZTE Communications》2025年第1期30-44,共15页中兴通讯技术(英文版)

基　　金：supported in part by the National Key Research and Development Program of China under Grant No.2024YFE0200600;the Zhejiang Provincial Natural Science Foundation of China under Grant No.LR23F010005;the Huawei Cooperation Project under Grant No.TC20240829036。

摘　　要：Along with the proliferating research interest in semantic communication(Sem Com),joint source channel coding(JSCC)has dominated the attention due to the widely assumed existence in efficiently delivering information semantics.Nevertheless,this paper challenges the conventional JSCC paradigm and advocates for adopting separate source channel coding(SSCC)to enjoy a more underlying degree of freedom for optimization.We demonstrate that SSCC,after leveraging the strengths of the Large Language Model(LLM)for source coding and Error Correction Code Transformer(ECCT)complemented for channel coding,offers superior performance over JSCC.Our proposed framework also effectively highlights the compatibility challenges between Sem Com approaches and digital communication systems,particularly concerning the resource costs associated with the transmission of high-precision floating point numbers.Through comprehensive evaluations,we establish that assisted by LLM-based compression and ECCT-enhanced error correction,SSCC remains a viable and effective solution for modern communication systems.In other words,separate source channel coding is still what we need.

关 键 词：separate source channel coding(SSCC) joint source channel coding(JSCC) end-to-end communication system Large Language Model(LLM) lossless text compression Error Correction Code Transformer(ECCT) 

分 类 号：TN9[电子电信—信息与通信工程]