Applying Genetic Algorithms to the Data Traffic Scheduling and Performance Analysis of a Long-Term Evolution System-Reference-Cited by-同舟云学术

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

Published:2014-10-22 Issue:1 Volume:81 Page:387-403
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

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

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

http://link.springer.com/content/pdf/10.1007/s11277-014-2135-y.pdf

Reference25 articles.

1. UTRA-UTRAN Long Term Evolution (LTE) and 3GPP System Architecture Evolution (SAE). 3GPP LTA\_paper October 2006.

2. Base Station (BS) radio transmission and reception (Release 8), 3GPP TS 36.104 V8.5.0, March 2009.

3. Physical Channels and Modulation (Release 8), 3GPP TS 36.211 V8.6.0, March 2009.

4. Multiplexing and channel coding (Release 8), 3GPP TS 36.212 V8.6.0, March 2009.

5. Physical layer procedures (Release 8), 3GPP TS 36.213, V8.6.0, March 2009.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Survey on LTE/LTE-A Radio Resource Allocation Techniques for Machine-to-Machine Communication for B5G Networks;IEEE Access;2021

2. Genetic Algorithms for Solving Shortest Path Problem in Maze-Type Network with Precedence Constraints;Wireless Personal Communications;2018-04-12

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