This paper is published in Volume-7, Issue-2, 2021
Area
Computer Engg
Author
Maansa Krovvidi
Org/Univ
Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India
Keywords
Artificial Intelligence, 6G Communications Framework, Network Function Virtualization, Software Defined Network, Slicing
Citations
IEEE
Maansa Krovvidi. Framework for slicing 6G networks for efficient multi-tenancy, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Maansa Krovvidi (2021). Framework for slicing 6G networks for efficient multi-tenancy. International Journal of Advance Research, Ideas and Innovations in Technology, 7(2) www.IJARIIT.com.
MLA
Maansa Krovvidi. "Framework for slicing 6G networks for efficient multi-tenancy." International Journal of Advance Research, Ideas and Innovations in Technology 7.2 (2021). www.IJARIIT.com.
Maansa Krovvidi. Framework for slicing 6G networks for efficient multi-tenancy, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Maansa Krovvidi (2021). Framework for slicing 6G networks for efficient multi-tenancy. International Journal of Advance Research, Ideas and Innovations in Technology, 7(2) www.IJARIIT.com.
MLA
Maansa Krovvidi. "Framework for slicing 6G networks for efficient multi-tenancy." International Journal of Advance Research, Ideas and Innovations in Technology 7.2 (2021). www.IJARIIT.com.
Abstract
6G Networks are going to be the reality in near future and are going to be used in all walks of life for multiple purposes. The network slicing facilitates optimum usage of the network resources cost-effectively by the service providers and major consumers. In this paper, prevailing slicing methodologies were analyzed and a better and efficient Artificial Intelligence-based Network slicing framework is presented, for use in the upcoming 6G communication network technologies.
