面向智慧城市数字孪生网络的资源分配方案

郑明明; 彭薇; 刘川; 高炜; 陶静

doi:10.11959/j.issn.1000-0801.2025210

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面向智慧城市数字孪生网络的资源分配方案

专题：网络数字孪生 | 更新时间：2025-11-16

- 面向智慧城市数字孪生网络的资源分配方案
- Resource allocation scheme for digital twin networks in smart cities
- 电信科学 2025年41卷第9期页码：43-54
- 作者机构：
  
  1.华中科技大学，湖北武汉 430074
  2.中国电力科学研究院有限公司，江苏南京 210003
  3.海南大学，海南海口 570228
  4.南京邮电大学，江苏南京 210003
- 作者简介：
  
  [ "郑明明（1989- ），女，华中科技大学博士生，主要研究方向为多址接入、资源调度与优化。" ]
  [ "彭薇（1977- ），女，华中科技大学教授，主要研究方向为智能通信、无线网络、电力系统通信等。" ]
  [ "刘川（1986- ），男，中国电力科学研究院有限公司正高级工程师，主要研究方向为电力系统通信、能源业务数字化。" ]
  [ "高炜（1992- ），男，海南大学在站博士后，主要研究方向为无线网络、计算互联系统、无线资源调度等。" ]
  [ "陶静（1987- ），女，中国电力科学研究院有限公司正高级工程师，主要研究方向为电力系统通信、能源业务数字化。" ]
- 基金信息：
  
  国家重点研发计划“安全可信的计算互联体系架构与检测技术研究”项目(2023YFF0612900)
- DOI：10.11959/j.issn.1000-0801.2025210
  中图分类号： TN92
- 收稿：2025-05-22，
  
  修回：2025-04-27，
  
  录用：2025-05-13，
  
  纸质出版：2025-09-20
- 稿件说明：
移动端阅览
郑明明,彭薇,刘川等.面向智慧城市数字孪生网络的资源分配方案[J].电信科学,2025,41(09):43-54.

ZHENG Mingming,PENG Wei,LIU Chuan,et al.Resource allocation scheme for digital twin networks in smart cities[J].Telecommunications Science,2025,41(09):43-54.
郑明明,彭薇,刘川等.面向智慧城市数字孪生网络的资源分配方案[J].电信科学,2025,41(09):43-54. DOI： 10.11959/j.issn.1000-0801.2025210.

ZHENG Mingming,PENG Wei,LIU Chuan,et al.Resource allocation scheme for digital twin networks in smart cities[J].Telecommunications Science,2025,41(09):43-54. DOI： 10.11959/j.issn.1000-0801.2025210.

摘要

智慧城市旨在提高城市管理效率，改善市民生活质量。作为智慧城市的重要元素，大量物联网（Internet of things，IoT）设备的接入对实时性数据和资源管理提出了更高要求。然而，各实体之间数据共享不足，数据“孤岛”现象普遍存在，成为智慧城市深入发展的障碍。数字孪生（digital twin，DT）作为一种新兴的通信模式，具有消除智慧城市中数据共享障碍的潜力。提出了一种嵌入式认知无线电（cognitive radio，CR）辅助的非正交多址接入（NOMA）（CR_NOMA）系统频谱资源分配方案，在智慧城市数字孪生网络中实现无障碍数据共享。首先，提出一种新颖的CR模式，以嵌入方式使用频谱空穴，即允许次用户接入主用户释放的频谱空穴而不对其他活跃主用户造成额外干扰；其次，针对信道老化现象进行信道预测，以改善系统性能下降问题；最后，设计基于在线学习的频谱调度方案，借助孪生体之间数据共享的先天优势，实现实时资源调度。仿真结果表明，所提方案的性能显著优于现有的CR_NOMA和NOMA方法。在等同资源块长情况下，系统和速率较CR_NOMA方法提升66%，而较传统NOMA方法提升103%。尤其当设备处于运动状态时，性能提升更为显著。

Abstract

Smart cities aim to improve urban management efficiency and enhance residents’ quality of life. As a key element of smart cities

the massive Internet of things (IoT) devices access put higher demands on real-time data and resource management. However

due to insufficient data sharing among entities

data islands are prevalent

becoming an obstacle to the in-depth development of smart cities. Digital twin (DT)

as an emerging communication mode

has the potential to eliminate data-sharing barriers in smart cities. A spectrum resource allocation scheme for embedded cognitive radio (CR) assisted non-orthogonal multiple access (NOMA) (CR_NOMA) system was proposed to achieve barrier-free data sharing in the digital twin network of smart cities. Specifically

a novel CR paradigm was firstly proposed

which utilized the spectrum holes in an embedded mode. Namely

the secondary users (SUs) were allowed to access the holes released by idle primary users (PUs) without causing additional interference to other active PUs. Then

considering the channel aging phenomenon

channel prediction was performed to reduce the performance degradation. Finally

an online learning-based spectrum scheduling scheme was designed to realize real-time resource scheduling with the advantage of data sharing between twins. Simulation results demonstrate that the proposed scheme significantly outperforms existing CR_NOMA and traditional NOMA methods. For the same resource block length

the system sum rate increases by 66% compared to the CR_NOMA method

and by 103% compared to the traditional NOMA method. Especially

when the devices are in motion

the performance improvement is more significant.

关键词

Keywords

references

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