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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 1/2015

01.03.2015

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

verfasst von: Hsien-Wei Tseng, Yang-Han Lee, Chih-Yuan Lo, Liang-Yu Yen, Yih-Guang Jan

Erschienen in: Wireless Personal Communications | Ausgabe 1/2015

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Abstract

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.
Vorheriger Artikel An HEED-Based Study of Cell-Clustered Algorithm in Wireless Sensor Network for Energy Efficiency
Nächster Artikel An Immediate System Call Sequence Based Approach for Detecting Malicious Program Executions in Cloud Environment

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Metadaten
Titel
Applying Genetic Algorithms to the Data Traffic Scheduling and Performance Analysis of a Long-Term Evolution System
verfasst von
Hsien-Wei Tseng
Yang-Han Lee
Chih-Yuan Lo
Liang-Yu Yen
Yih-Guang Jan
Publikationsdatum
01.03.2015
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 1/2015
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-014-2135-y

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