Digital Twin-Driven Sustainable Cities Using 5G - 6G Ultra-Low Latency Networks

Sethupathi, S. and Sadesh, S. and Kumar, K. Ganesh and Singaravel, G. and U, Muthaiah and S, Jayashree (2026) Digital Twin-Driven Sustainable Cities Using 5G - 6G Ultra-Low Latency Networks. Journal of Innovation and Technology, 2026 (19). pp. 171-178. ISSN 2805-5179

	Text joit2026_19.pdf - Published Version Available under License Creative Commons Attribution. Download (248kB)
	Text 894 - Published Version Available under License Creative Commons Attribution. Download (32kB)

Abstract

Rapid urbanization has placed immense pressure on city infrastructures, necessitating intelligent and sustainable solutions for efficient urban management. Digital Twin (DT) technology has emerged with powerful paradigm that enables real-time virtual representation of physical urban systems, facilitating data-driven decision-making and predictive analysis. However, the effectiveness of DT in smart cities largely depends on ultra-low latency, high reliability, and massive connectivity, which are enabled by next-generation communication technologies such as 5G and upcoming 6G networks. This paper proposes a Digital Twin-driven sustainable city framework integrated with 5G/6G ultra-low latency networks to enhance real-time monitoring, resource optimization, and urban sustainability. The proposed system leverages IoT sensors, edge computing, artificial intelligence, and high-speed wireless communication to synchronize physical and virtual city environments. Experimental evaluation demonstrates improved response time, reduced energy consumption, and enhanced service efficiency compared to traditional smart city architectures. The outcomes highlight the significant potential of Digital Twin technology combined with 5G/6G networks in achieving resilient, intelligent, and sustainable urban ecosystems.

Item Type:	Article
Uncontrolled Keywords:	Digital Twin, Smart Cities, 6G Communication, Ultra-Low Latency, Edge Computing
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Depositing User:	Unnamed user with email masilah.mansor@newinti.edu.my
Date Deposited:	26 Jun 2026 03:45
Last Modified:	26 Jun 2026 03:46
URI:	http://eprints.intimal.edu.my/id/eprint/2337

Actions (login required)

View Item