蜂窝语义通信系统资源分配的研究  被引量:1

Research on Resource Allocation in Cellular Semantic Communication Systems

在线阅读下载全文

作  者:奥颖 李钰洁 何善宝 陈德丽 秦志金 陶晓明[2] AO Ying;LI Yujie;HE Shanbao;CHEN Deli;QIN Zhijin;TAO Xiaoming(College of Information and Communication Engineering,Beijing Information and Science Technology University,Beijing 100101,China;Department of Electronic Engineering,Tsinghua University,Beijing 100084,China)

机构地区:[1]北京信息科技大学信息与通信工程学院,北京100101 [2]清华大学电子工程系,北京100084

出  处:《移动通信》2024年第2期104-110,共7页Mobile Communications

基  金:国家自然科学基金“基于拓扑感知与参数优化的建筑物三维模型构建技术”(62001032);国家自然科学基金“端到端语义信息传输方法”(62293484);国家自然科学基金“多媒体计算通信”(61925105);北京市自然科学基金“空天地一体化融合系统中基于移动感知的高可靠通信研究”(L222039)。

摘  要:现有以香农信息论为基础的现代无线通信技术已经无法满足爆发式增长的数据传输需求,以“达意”为目标的语义通信有望突破香农极限的约束。面向蜂窝语义通信系统,分析传统蜂窝网络资源分配以及基于语义的无线资源分配通信范式、性能收益,研究资源分配模型的有效性、可靠性、频谱效率以及传输效率,从可分配的资源和性能评价这两个角度分别研究了传统蜂窝网络和语义通信网络资源分配的优化目标,归纳整理了现有语义通信资源分配方案的应用场景及研究方法。The existing modern wireless communication technology based on Shannon information theory can no longer meet the explosive growth in data transmission demand.Semantic communication with the aim of conveying meaning is expected to break through the constraints of Shannon's limit.This paper focuses on cellular semantic communication systems and analyzes the communication paradigm and performance benefits of traditional cellular network resource allocation and semantic-based wireless resource allocation.Then the resource allocation models are studied in terms of the effectiveness,reliability,spectral efficiency,and transmission efficiency.The optimization goals of resource allocation in traditional cellular networks and semantic communication networks are investigated from the perspectives of allocable resources and performance evaluation.Finally,the application scenarios and research methods are summarized for the existing semantic communication resource allocation schemes.

关 键 词:语义通信 资源分配 优化目标 

分 类 号:TN929.5[电子电信—通信与信息系统]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象