Modelling of Multiple Protected Radio Access in 6G Multi-User Networks
Students Name: Boiko Markiian Vasylovych
Qualification Level: magister
Speciality: System Administration of Telecommunications Networks
Institute: Institute of Telecommunications, Radioelectronics and Electronic Engineering
Mode of Study: full
Academic Year: 2023-2024 н.р.
Language of Defence: ukrainian
Abstract: The main task of the WiMAX network operator is to manage the radio resources of The aim of the work is to study the AVMPNEA algorithm for multiple secure radio access of a multi-user 6G network. The subject of the study was the implemented AVMPNEA algorithm in the MATLAB environment. This work is devoted to the study and analysis of new technologies, in particular – network virtualization, applicable to the generation of wireless communication 6G. In the course of this final qualification work, relevant materials on sixth – generation mobile communication systems and technologies potentially applicable to this system, especially network virtualization, were reviewed and studied. In addition, the history of the development of all generations of mobile communications, the main problems in the security and privacy of each generation were studied. The main goal of the work was the implementation of the AVMPNEA network virtualization algorithm, since it is considered by its stability and speed indicators to be the most interesting for further development in comparison with similar algorithms implemented in fifth-generation networks. The practical significance of the thesis is that the correct choice of the virtualization algorithm, according to a number of authors, would allow to significantly increase the bandwidth and energy efficiency of the virtual network, as well as reduce the connection delay and the number of user disconnections, which increases the security of radio access [1]. Based on the research done, it is possible to optimize and modernize the created model, and its subsequent hardware implementation for use in 6G [2]. Some components of the 5G network have already been considered and some components have already been deployed by artificial intelligence (AI), such as coding and channel estimation at the physical layer, multiple access at the MAC layer, and various applications at the network layer. However, the use of artificial intelligence is not commonplace, and support for AI-based technologies in 5G networks is limited by the traditional architecture that was available in the early stages of its development [3]. Network Functions Virtualization (NFV) in 6G is used as a multi-virtual network in the network infrastructure. The proposed Advanced Virtual Multi-Purpose Network Embedding Algorithm (AVMPNEA) method is used to eliminate far-reaching network effects associated with the use of terahertz communication [4]. The first section of the paper will provide an overview of the evolution of security and privacy in wireless networks from the technological standard of first-generation networks to the fifth-generation standard. In the second section, the key tasks during algorithm simulation and the mathematical description of the model will be explained. The third section of the work will show the model with the justification of the results and the attached figures. There will be a process of developing the software code for the analysis of the presented model. The fourth chapter will show cost calculations and the economic rationale for determining the amount of costs for its implementation. Expenses related to its implementation are included in the calculation of expenses, regardless of the source of income [5].