Performance Simulation and Analysis for LTE System Using Human Behavior Queue Model

摘要

Understanding the nature of traffic has been a key concern of the researchers particularly over the lasttwo decades and it has been noticed through extensive high quality studies that traffic found in differentkinds of IP/wireless IP networks is human operators . Despite the recent findings of real time humanbehavior in measured traffic from data networks, much of the current understanding of IP trafficmodeling is still based on simplistic probability distributed traffic. Unlike most existing studies that areprimarily based on simplistic probabilistic model and traditional scheduling algorithms, this researchpresents an analytical performance model for real time human behavior queue systems with intelligenttask management traffic input scheduled by anovel and promising scheduling mechanism for 4G-LTEsystem. Our proposed model is substantiated on human behavior queuing system that considers real timeof traffic exhibiting homogeneous tasks characteristics. We analyze the model on the basis of newlyproposed scheduling scheme for 4G-LTE system. We present closed form expressions of expectedresponse times for real time traffic classes. We develop a discrete event simulator to understand thebehavior of real time of arriving tasks traffic under this newly proposed scheduling mechanism for 4G-LTE system . The results indicate that our proposed scheduling algorithm provides preferential treatmentto real-time applications such as voice and video but not to that extent that data applications are starvingforbandwidth and outperforms all other scheduling schemes that are available in the market