Authors :
Abidemi M. Orimogunje , Olumide O. Ajayi, Olaosebikan A. Fakolujo, Jeremiah O. Abolade
Volume/Issue :
Volume 2 - 2017, Issue 9 - September
Google Scholar :
https://goo.gl/DF9R4u
Scribd :
https://goo.gl/iUQfJV
Thomson Reuters ResearcherID :
https://goo.gl/3bkzwv
Abstract :
For seamless connection between mobile users on the same and different mobile technologies there is need for the deployment of a more complex algorithm for a successful switching of mobile users. Signal to interference ratio, speed of the mobile users and traffic distance are the three input used in the Adaptive network based Fuzzy inference system (ANFIS) which is an hybrid of two techniques of artificial intelligence which make it suitable to handle complexities such as ping-pong effect and interference which impair on the quality of service (QoS) during call handover process as the mobile users move from one coverage area (cell) to another.
Keywords :
Seamless; Mobile; Signal to Interference Ratio; Adaptive Network Based Fuzzy Inference System; Ping-Pong; Cell; Quality of Service; Artificial Intelligence.
For seamless connection between mobile users on the same and different mobile technologies there is need for the deployment of a more complex algorithm for a successful switching of mobile users. Signal to interference ratio, speed of the mobile users and traffic distance are the three input used in the Adaptive network based Fuzzy inference system (ANFIS) which is an hybrid of two techniques of artificial intelligence which make it suitable to handle complexities such as ping-pong effect and interference which impair on the quality of service (QoS) during call handover process as the mobile users move from one coverage area (cell) to another.
Keywords :
Seamless; Mobile; Signal to Interference Ratio; Adaptive Network Based Fuzzy Inference System; Ping-Pong; Cell; Quality of Service; Artificial Intelligence.
