摘要
语义通信作为一种旨在传递用户意图和语义信息的全新通信范式,有望成为6G时代构建万物智联网络的创新性解决方案。然而,在实际的部署中,由于语义的多意性、个性化和异构性等特点,语义认知、解析和通信等方面仍面临着业务类型多样且异构、用户性格与习惯各异和需求随机等难题。为此,提出了一种基于感算通融合的语义认知通信网络,旨在通过语义感知、计算和通信多功能的深度融合、协作互惠,实现高效可靠的语义信息传输。初步试验结果显示,相比于传统通信网络,本文所提方案有望在提升网络语义通信效率的同时,还大幅降低了系统的资源占用率。
Semantic communication, as a novel communication paradigm aimed at delivering user intentions and semantic messages, is expected to become an innovative solution to build the intelligence of everything(IoE) network in the 6G era. However, in the actual deployment, due to the characteristics of semantic diversity, personalization and heterogeneity, semantic cognition, parsing and communication are still faced with problems such as diverse and heterogeneous business types, different user personalities and habits, and random requirements. To this end, a semantic cognitive communication network based on integrated sensing, computation and communication is proposed, which aims to achieve efficient and reliable semantic information transmission through the deep integration, cooperation and reciprocity of semantic sensing, computation and communication. The preliminary simulation results show that compared with the traditional communication network, the proposed scheme can not only improve the efficiency of semantic communication but also greatly reduce resource occupancy.
作者
朱慧翔
柴靖轩
肖泳
石光明
高大化
ZHU Huixiang;CHAI Jingxuan;XIAO Yong;SHI Guangming;GAO Dahua(Peng Cheng Laboratory,Shenzhen 518055,China;School of Electronic Information and Communications,Huazhong University of Science and Technology,Wuhan 430074,China;School of AI,Xidian University,Xi'an 710071,China;Pazhou Laboratory(Huangpu),Guangzhou 510335,China)
出处
《移动通信》
2023年第3期31-39,共9页
Mobile Communications
基金
国家自然科学基金“面向6G群体智能资源共享博弈基础理论研究”(62071193)
国家自然科学基金“面向智能语义理解的计算成像方法研究”(61976169)
国家自然科学基金“语义通信基础理论与方法研究”(62293483)
国家自然科学基金“基于多通道压缩感知的高分辨高动态范围红外成像方法研究”(61871304)
鹏城实验室重大攻关项目(PCL2021A12)。
关键词
语义通信
语义认知通信
感算通融合
semantic communication
semantic-aware communication
integrated sensing
computation and communication
