通信学报2026，Vol.47Issue(1)：41-53,13.DOI:10.11959/j.issn.1000−436x.2026016
基于区域感知的通感算协同网络语义通信可靠性联合优化
Joint optimization of semantic communication reliability in integrated sensing,communication and computing networks based on regional perception
摘要
Abstract
A joint optimization method was proposed based on the semantic communication framework for the ISCC(in-tegrated sensing,communication,and computing)network.Firstly,leveraging the semantic communication theoretical framework,the sensing,communication,and computation functionalities of the ISCC system were unified and recon-structed with the semantic layer for multi-target sensing and multi-server collaboration scenarios.Secondly,the end-to-end error probability of the system was quantitatively characterized from the semantic level,and a joint optimization problem for server selection and time resource allocation was formulated.The original mixed-integer non-convex prob-lem was transformed into a convex one.Moreover,the structure of its optimal solutions was analyzed based on the La-grangian method and KKT conditions.Simulation results demonstrate that the semantic communication framework can effectively guide resource allocation in ISCC systems.Compared with traditional schemes,the proposed scheme signifi-cantly improves the reliability of the whole ISCC system in both homogeneous and heterogeneous server deployment scenarios,validating the effectiveness of the semantic communication framework in ISCC network optimization.关键词
语义通信/通感算协同/多功能协作/可靠性优化/资源分配Key words
semantic communication/ISCC/multi-functional cooperation/reliability optimization/resource allocation分类
信息技术与安全科学引用本文复制引用
陈津,窦高奇,蒋妍,朱尧..基于区域感知的通感算协同网络语义通信可靠性联合优化[J].通信学报,2026,47(1):41-53,13.基金项目
国家自然科学基金资助项目(No.61871473) （No.61871473）
海军工程大学自主研发计划基金资助项目(No.202509)The National Natural Science Foundation of China(No.61871473),The Independent Research and Develop-ment Program Project of the Naval University of Engineering(No.202509) （No.202509）
