Resource allocation scheme for digital twin networks in smart cities

ZHENG Mingming; PENG Wei; LIU Chuan; GAO Wei; TAO Jing

doi:10.11959/j.issn.1000-0801.2025210

您当前的位置：

首页 >

文章列表页 >

Resource allocation scheme for digital twin networks in smart cities

Topic: Digital Twin Technology for Network | 更新时间：2025-11-16

- Resource allocation scheme for digital twin networks in smart cities
- Telecommunications Science Vol. 41, Issue 9, Pages: 43-54(2025)
- 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：
- 基金信息：
  
  The National Key Research and Development Program of China: Research on Secure and Trusted Computing Interconnection Architecture and Detection Technology(2023YFF0612900)
- DOI：10.11959/j.issn.1000-0801.2025210
  CLC： TN92
- Received：22 May 2025，
  
  Revised：2025-04-27，
  
  Accepted：13 May 2025，
  
  Published：20 September 2025
- 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

ISMAGILOVA E , HUGHES L , RANA N P , et al . Security, privacy and risks within smart cities: literature review and development of a smart city interaction framework [J ] . Information Systems Frontiers , 2022 , 24 ( 2 ): 393 - 414 .

ALAHI M E E , SUKKUEA A , TINA F W , et al . Integration of IoT-enabled technologies and artificial intelligence (AI) for smart city scenario: recent advancements and future trends [J ] . Sensors , 2023 , 23 ( 11 ): 5206 .

ALLAM Z , JONES D S . On the coronavirus (COVID-19) outbreak and the smart city network: universal data sharing standards coupled with artificial intelligence (AI) to benefit urban health monitoring and management [J ] . Healthcare , 2020 , 8 ( 1 ): 46 .

JIANG D F . The construction of smart city information system based on the internet of things and cloud computing [J ] . Computer Communications , 2020 , 150 : 158 - 166 .

WU Y W , ZHANG K , ZHANG Y . Digital twin networks: a survey [J ] . IEEE Internet of Things Journal , 2021 , 8 ( 18 ): 13789 - 13804 .

吴吉义 , 李文娟 , 曹健 , 等 . 智能物联网AIoT研究综述 [J ] . 电信科学 , 2021 , 37 ( 8 ): 1 - 17 .

WU J Y , LI W J , CAO J , et al . AIoT: a taxonomy, review and future directions [J ] . Telecommunications Science , 2021 , 37 ( 8 ): 1 - 17 .

蒋丽 , 谢胜利 , 田辉 . 面向数字孪生边缘网络的区块链分片及资源自适应优化机制 [J ] . 通信学报 , 2023 , 44 ( 3 ): 12 - 23 .

JIANG L , XIE S L , TIAN H . Adaptive resource optimization mechanism for blockchain sharding in digital twin edge network [J ] . Journal on Communications , 2023 , 44 ( 3 ): 12 - 23 .

FAN B , WU Y , HE Z B , et al . Digital twin empowered mobile edge computing for intelligent vehicular lane-changing [J ] . IEEE Network , 2021 , 35 ( 6 ): 194 - 201 .

RODA-SANCHEZ L , CIRILLO F , SOLMAZ G , et al . Building a smart campus digital twin: system, analytics, and lessons learned from a real-world project [J ] . IEEE Internet of Things Journal , 2024 , 11 ( 3 ): 4614 - 4627 .

PANG J J , HUANG Y , XIE Z Z , et al . Collaborative city digital twin for the COVID-19 pandemic: a federated learning solution [J ] . Tsinghua Science and Technology , 2021 , 26 ( 5 ): 759 - 771 .

WANG H , CHEN X W , JIA F , et al . Digital twin-supported smart city: status, challenges and future research directions [J ] . Expert Systems with Applications , 2023 , 217 : 119531 .

AK E , DURAN K , DOBRE O A , et al . T6CONF: digital twin networking framework for IPv6-enabled net-zero smart cities [J ] . IEEE Communications Magazine , 2023 , 61 ( 3 ): 36 - 42 .

BOTÍN S D M , MIHAITA A S , PEIMBERT G R E , et al . Digital twin technology challenges and applications: a comprehensive review [J ] . Remote Sensing , 2022 , 14 ( 6 ): 1335 .

MOUNIR M , EL_MASHADE M B , MOHAMED ABOSHOSHA A . On the selection of power allocation strategy in power domain non-orthogonal multiple access (PD-NOMA) for 6G and beyond [J ] . Transactions on Emerging Telecommunications Technologies , 2022 , 33 ( 6 ): e4289 .

YUAN Y F , YUAN Z F , TIAN L . 5G non-orthogonal multiple access study in 3GPP [J ] . IEEE Communications Magazine , 2020 , 58 ( 7 ): 90 - 96 .

LI X W , ZHANG J Y , HAN C Z , et al . Reliability and security of CR-STAR-RIS-NOMA-assisted IoT networks [J ] . IEEE Internet of Things Journal , 2024 , 11 ( 17 ): 27969 - 27980 .

SUN Y S , CAO W , ZHOU M M , et al . Hybrid successive interference cancellation and power adaptation: a win-win strategy for robust uplink NOMA transmission [J ] . IEEE Transactions on Communications , 2024 , 72 ( 2 ): 771 - 785 .

ZHAO Q , SADLER B M . A survey of dynamic spectrum access [J ] . IEEE Signal Processing Magazine , 2007 , 24 ( 3 ): 79 - 89 .

DING Z G , FAN P Z , POOR H V . Impact of user pairing on 5G nonorthogonal multiple-access downlink transmissions [J ] . IEEE Transactions on Vehicular Technology , 2016 , 65 ( 8 ): 6010 - 6023 .

BISEN S , SHAIK P , BHATIA V . On performance of energy harvested cooperative NOMA under imperfect CSI and imperfect SIC [J ] . IEEE Transactions on Vehicular Technology , 2021 , 70 ( 9 ): 8993 - 9005 .

WANG Y T , SU Z , GUO S L , et al . A survey on digital twins: architecture, enabling technologies, security and privacy, and future prospects [J ] . IEEE Internet of Things Journal , 2023 , 10 ( 17 ): 14965 - 14987 .

TRUONG K T , HEATH R W . Effects of channel aging in massive MIMO systems [J ] . Journal of Communications and Networks , 2013 , 15 ( 4 ): 338 - 351 .

OWEN D B , ABRAMOWITZ M , STEGUN I A . Handbook of mathematical functions with formulas, graphs, and mathematical tables [J ] . Technometrics , 1965 , 7 ( 1 ): 78 .

HU Y L , LI Y , GURSOY M C , et al . Throughput analysis of low-latency IoT systems with QoS constraints and finite blocklength codes [J ] . IEEE Transactions on Vehicular Technology , 2020 , 69 ( 3 ): 3093 - 3104 .

SANGUINETTI L , BJÖRNSON E , HOYDIS J . Toward massive MIMO 2.0: understanding spatial correlation, interference suppression, and pilot contamination [J ] . IEEE Transactions on Communications , 2020 , 68 ( 1 ): 232 - 257 .

Views

268

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Buildingthe User-Oriented Information Service Systemof Smart City

Research on intelligent 3D modeling technology scheme for telecommunication equipment rooms based on SfM and SOLO algorithms

Integrated communication-sensing-computation based energy efficient data processing design

Design and performance analysis of enhanced cognitive NOMA communication system

Related Author

Shuguang Lin

Yanhui Guo

Yunyong Zhang

Xiaoming Chen

Xing Xiaogang

Li Mengyu

Xu Yubo

Diao Zhaokun

Related Institution

Fujian Branch of China United Network Communications Co.,Ltd.

China Unicom Research Institute

China Mobile Group Design Institute Co, Ltd.

College of Engineering, Southern University of Science and Technology

College of Electronics and Information Engineering, Shenzhen University

⁰