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 Ni Fei;Li Rongpeng;Zhao Zhifeng;Zhang Honggang

作者机构：College of Information Science and Electronic EngineeringZhejiang UniversityHangzhou 310027China Zhejiang LabHangzhou 311121China Faculty of Data ScienceCity University of MacaoMacaoChina 

出 版 物：《China Communications》 (中国通信(英文版))

年 卷 期：2025年第22卷第1期

页      面：235-255页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

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 

主　　题：error detection incremental knowledgebased HARQ joint source-channel coding semantic communication swin transformer topological data analysis 

摘      要：Semantic communication(SemCom)aims to achieve high-fidelity information delivery under low communication consumption by only guaranteeing semantic ***,semantic communication still suffers from unexpected channel volatility and thus developing a re-transmission mechanism(e.g.,hybrid automatic repeat request[HARQ])becomes *** 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 ***,considering the possible existence of semantic ambiguity in image transmission,a simple bit-level cyclic redundancy check(CRC)might compromise the performance of ***,there emerges a strong incentive to revolutionize the CRC mechanism,thus more effectively reaping the benefits of both SemCom and *** this paper,built on top of swin transformer-based joint source-channel coding(JSCC)and IK-HARQ,we propose a semantic image transmission framework *** 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 *** 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.