Loop-based Markov Chain for Next Cell Prediction

Authors : Bahadır YALIN, Serhan YARKAN

Pages : 31-40

Doi:10.56809/icujtas.1133682

View : 17 | Download : 18

Publication Date : 2023-02-28

Article Type : Research Paper

Abstract :With the development in the 5G, Software Defined Networkinginsert ignore into journalissuearticles values(SDN);, Network Function Virtualizationinsert ignore into journalissuearticles values(NFV);, which are the cornerstones of the 5G, are being developed as well. One of the biggest development of 5G is, dense of Machine-to-Machine insert ignore into journalissuearticles values(M2M); communication is excessively increased compared to older generations. Therefore, monitoring of these machines insert ignore into journalissuearticles values(or user equipment); will also become critical. Various Network Functions insert ignore into journalissuearticles values(NFs); have been given specific tasks so that this monitoring and other critical tasks can be done with the NFV innovation in 5G. Network Data Analytics Function insert ignore into journalissuearticles values(NWDAF);, one of these functions, is responsible for creating analytics insert ignore into journalissuearticles values(i.e., statistics or predictions); by collecting data from other Network Functions. In particular, in order to generate predictions, it will be possible to use Machine Learning insert ignore into journalissuearticles values(ML); Models and Artificial Intelligence insert ignore into journalissuearticles values(AI); for the operations specified within the NWDAF. In this study, next possible cell for a User Equipment is predicted by using Markov Chain with novel loop-based approach.
Keywords : 5G Ağ Fonksiyonları, Ağ Veri Analitiği Fonksiyonu, Kullanıcı Ekipmanı Hareketliliği, Markov Zinciri