Applying Genetic Algorithms to the Data Traffic Scheduling and Performance Analysis of a Long-Term Evolution System

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 期刊論文 > Item 987654321/100874

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題名:	Applying Genetic Algorithms to the Data Traffic Scheduling and Performance Analysis of a Long-Term Evolution System
作者:	Tseng, Hsien-Wei;Lee, Yang-Han;Lee, Wei-Chen;Jan, Yih-Guang;Sheu, Chorng-Ren
貢獻者:	電機工程學系暨研究所
關鍵詞:	Genetic algorithm;Resource allocation;Multicarrier operation
日期:	2014-10-22
上傳時間:	2015-03-16 17:49:42 (UTC+8)
摘要:	In this study it develops a superior transmission resource allocation method by using genetic algorithm. The convergence properties of genetic algorithm are employed to increase the transmission resource use efficiency of a base (station) to allow users to access wider bandwidth and to improve the system throughput and packet service rate. In this paper, it also studies the genetic algorithm convergent phenomena. The calculated system convergent time is significantly less than that of a long term evolution (LTE) frame duration. Finally, the system performances with and without implementing the genetic algorithm in resource allocations are simulated; their performances are compared to study the effectiveness of using the genetic algorithm in resource allocation.
關聯:	Wireless Personal Communications, pp.387–403
DOI:	10.1007/s11277-014-2135-y
顯示於類別:	[電機工程學系暨研究所] 期刊論文

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