Internet of vehicle's resource management in 5G networks using AI technologies: Current status and trends

被引:33
作者
Elfatih, Nada M.
Hasan, Mohammad Kamrul
Kamal, Zeinab
Gupta, Deepa
Saeed, Rashid A.
Ali, Elmustafa Sayed
Hosain, Md. Sarwar
机构
[1] Department of Electrical and Electronics Engineering, Red Sea University, Port Sudan
[2] Faculty of Information Science and Technology, The National University of Malaysia (UKM), Selangor, Bangi
[3] Amity Institute of Information Technology, Amity University Uttar Pradesh, Delhi NCR
[4] Department of computer Engineering, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif
[5] Department of Electronics Engineering, Sudan University of Science and Technology, Khartoum
[6] Department of Information and Communication Engineering, Pabna University of Science and Technology, Pabna
关键词
EDGE; IOV; ARCHITECTURE; CHALLENGES; SYSTEMS; SCHEME; MODEL; MECHANISM; ENVIRONMENT; INTEGRATION;
D O I
10.1049/cmu2.12315
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The Internet of Vehicles (IoV) and Vehicle-to-Everything (V2X) concept have emerged from IoT technology, which refers to connecting many vehicles with various applications to the internet. The 5G new radio is based on a cloud-radio access network (CRAN), considered as the communication infrastructure for IoV. However, due to the significant challenges and issues, researchers have been working on IoV and V2X. One of the main challenges for V2X is resource allocation and management for a high-speed vehicular environment. This paper discusses and provides complete detail for resource allocation and management for IoV over 5G RAN networks focusing on artificial intelligence techniques. The paper also presented reviews on integrating the multi-layers of vehicular network architecture with AI strategy to identify advancement and future directions for resource allocation and management issues.
引用
收藏
页码:400 / 420
页数:21
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