Topology Data Analysis-Based Error Detection for Semantic Image Transmission with Incremental Knowledge-Based HARQ  

作　　者：Ni Fei Li Rongpeng Zhao Zhifeng Zhang Honggang 

机构地区：[1]College of Information Science and Electronic Engineering,Zhejiang University,Hangzhou 310027,China [2]Zhejiang Lab,Hangzhou 311121,China [3]Faculty of Data Science,City University of Macao,Macao,China

出　　处：《China Communications》2025年第1期235-255,共21页中国通信(英文版)

基　　金：supported in part by the National Key Research and Development Program of China under Grant 2024YFE0200600;in part by the National Natural Science Foundation of China under Grant 62071425;in part by the Zhejiang Key Research and Development Plan under Grant 2022C01093;in part by the Zhejiang Provincial Natural Science Foundation of China under Grant LR23F010005;in part by the National Key Laboratory of Wireless Communications Foundation under Grant 2023KP01601;in part by the Big Data and Intelligent Computing Key Lab of CQUPT under Grant BDIC-2023-B-001.

摘　　要：Semantic communication(SemCom)aims to achieve high-fidelity information delivery under low communication consumption by only guaranteeing semantic accuracy.Nevertheless,semantic communication still suffers from unexpected channel volatility and thus developing a re-transmission mechanism(e.g.,hybrid automatic repeat request[HARQ])becomes indispensable.In that regard,instead of discarding previously transmitted information,the incremental knowledge-based HARQ(IK-HARQ)is deemed as a more effective mechanism that could sufficiently utilize the information semantics.However,considering the possible existence of semantic ambiguity in image transmission,a simple bit-level cyclic redundancy check(CRC)might compromise the performance of IK-HARQ.Therefore,there emerges a strong incentive to revolutionize the CRC mechanism,thus more effectively reaping the benefits of both SemCom and HARQ.In this paper,built on top of swin transformer-based joint source-channel coding(JSCC)and IK-HARQ,we propose a semantic image transmission framework SC-TDA-HARQ.In particular,different from the conventional CRC,we introduce a topological data analysis(TDA)-based error detection method,which capably digs out the inner topological and geometric information of images,to capture semantic information and determine the necessity for re-transmission.Extensive numerical results validate the effectiveness and efficiency of the proposed SC-TDA-HARQ framework,especially under the limited bandwidth condition,and manifest the superiority of TDA-based error detection method in image transmission.

关 键 词：error detection incremental knowledgebased HARQ joint source-channel coding semantic communication swin transformer topological data analysis 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]