Resource allocation for the semantic communication in the intelligent networked environment

Jiujiu CHEN; Caili GUO; Chunyan FENG; Chuanhong LIU

doi:10.11959/j.issn.2096-3750.2022.00279

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Resource allocation for the semantic communication in the intelligent networked environment

Theory and Technology | 更新时间：2024-06-05

- Resource allocation for the semantic communication in the intelligent networked environment
- Chinese Journal on Internet of Things Vol. 6, Issue 3, Pages: 47-57(2022)
- 作者机构：
  
  1. 北京邮电大学先进信息网络北京实验室，北京 100876
  2. 北京邮电大学网络体系构建与融合北京市重点实验室，北京 100876
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-3750.2022.00279
  CLC： TN929.5
- Online First：2022-09，
  
  Published：30 September 2022
- 稿件说明：
移动端阅览
Jiujiu CHEN, Caili GUO, Chunyan FENG, et al. Resource allocation for the semantic communication in the intelligent networked environment[J]. Chinese Journal on Internet of Things, 2022, 6(3): 47-57.
DOI：

Jiujiu CHEN, Caili GUO, Chunyan FENG, et al. Resource allocation for the semantic communication in the intelligent networked environment[J]. Chinese Journal on Internet of Things, 2022, 6(3): 47-57. DOI： 10.11959/j.issn.2096-3750.2022.00279.

摘要

传统的资源分配方法难以满足智能网联环境下各种业务准确理解大量多媒体数据语义的需求。针对该挑战，以智能任务导向的车联网场景为例，首先，提出了两种面向语义通信的资源分配优化准则；然后，针对不同维度的资源，综述了面向语义通信的资源分配模型与算法；构建了面向语义通信的图像数据集，在车联网仿真场景下分析了所研究资源分配方法的性能优势；最后，给出了语义通信资源分配的未来挑战。

Abstract

Traditional resource allocation methods are difficult to meet the needs of various services to accurately understand the semantics of a large amount of multimedia data in the intelligent networked environment.Facing with this challenge

taking intelligent task-oriented internet of vehicles scenarios as an example

two resource allocation optimization criteria for the semantic communication were firstly proposed.Then

according to different dimensions of resources

the models and algorithms of the resource allocation for the semantic communication were described.Then

a semantic communication-oriented image dataset was constructed

and the performance advantages of the proposed resource allocation methods in the simulation scenario of the internet of vehicles were analyzed.Finally

the future challenges of the resource allocation for the semantic communication were presented.

关键词

Keywords

references

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