Performance of LTE Downlink Resource Allocation Algorithms

碩士 === 國立成功大學 === 電信管理研究所 === 103 === In recent years, the popularity of intelligent terminals has grown rapidly, there are more and more multimedia and mobile services being introduced every day, creating a large number of mobile data demand. To satisfy the increasing demand of mobile data, 3rd...

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Bibliographic Details
Main Authors: Chi-JuiYang, 楊啟瑞
Other Authors: Wen-Tzu Chen
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/47417690059074239913
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Summary:碩士 === 國立成功大學 === 電信管理研究所 === 103 === In recent years, the popularity of intelligent terminals has grown rapidly, there are more and more multimedia and mobile services being introduced every day, creating a large number of mobile data demand. To satisfy the increasing demand of mobile data, 3rd Generation Partnership Project (3GPP) launched the Long Term evolution (LTE) as the standard of the new generation of mobile communication systems. In a wireless system, to provide quality of service to end users and enhance the system performance, it is important to choose a good radio resource allocation algorithm. A good resource allocation algorithm can enhance the system performance and spectral efficiency. However, as the new generation of mobile communication systems, LTE has an open standard to its resource allocation algorithm. Hence, it is an interesting and important subject to choose or design an appropriate algorithm for LTE system. Modified Largest Weighted Delay First (MLWDF) is a well-known algorithm, and many of researches had been studied and discussed it. We combined the strategy of Earliest Deadline First (EDF) algorithm with MLWDF algorithm, and propose the Weight Delay Approaching Deadline First (WDADF) algorithm. The simulation results show that WDADF algorithm can provide better spectral efficiency, throughput to Video service, and packet loss ratio to real-time services than MLWDF algorithm. And when in low speed scenarios, it has better performance compared with EXP/PF algorithm, too.