Secure and Latency-Aware Digital Twin Assisted Resource Scheduling for 5G Edge Computing-Empowered Distribution Grids

DOI PDF 1 Citations

Zhenyu Zhou

Hebei Key Laboratory of Power Internet of Things Technology, School of Electric and Electronic Engineering, North China Electric Power University, Beijing, China
Zehan Jia

Hebei Key Laboratory of Power Internet of Things Technology, School of Electric and Electronic Engineering, North China Electric Power University, Beijing, China
Haijun Liao

Hebei Key Laboratory of Power Internet of Things Technology, School of Electric and Electronic Engineering, North China Electric Power University, Beijing, China
Wenbing Lu

Hebei Key Laboratory of Power Internet of Things Technology, School of Electric and Electronic Engineering, North China Electric Power University, Beijing, China
Shahid Mumtaz

Instituto de Telecomunicações, Campus Universitário de Santiago, University of Aveiro, Aveiro, Portugal
Mohsen Guizani

Machine learning Department, Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE
Muhammad Tariq

Electrical Engineering Department, National University of Computer and Emerging Sciences, Islamabad, Pakistan

Journal

IEEE Transactions on Industrial Informatics

IEEE Transactions on Industrial Informatics 18 (7), 4933-4943, 2022-07

Institute of Electrical and Electronics Engineers (IEEE)

Back to top