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

Provided by: Hong Kong Polytechnic University
Topic: Mobility
Format: PDF
Understanding the nature of traffic has been a key concern of the researchers particularly over the last two decades and it has been noticed through extensive high quality studies that traffic found in different kinds of IP/wireless IP networks is human operators. Despite the recent findings of real time human behavior in measured traffic from data networks, much of the current understanding of IP traffic modeling is still based on simplistic probability distributed traffic. Unlike most existing studies that are primarily based on simplistic probabilistic model and traditional scheduling algorithms, this research presents an analytical performance model for real time human behavior queue systems with intelligent task management traffic input scheduled by a novel and promising scheduling mechanism for 4G-LTE system.

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