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A Business Resource Scheduled Algorithm of TD-LTE Trunking System Based on QoS

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Computational Intelligence and Intelligent Systems (ISICA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 874))

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Abstract

On the precondition of analyzing the algorithm of GBR and PDB, a business resource scheduled algorithm of TD-LTE trunking system based on QoS is presented in this paper. The simulation suggests that this algorithm can serve mixed styles of business better and meet different QoS requirements, especially to the throughput of high rate GBR business. It can make the system gain a higher throughput as well as decreasing the delay of the business.

A Project Supported Scientific Research Fund of Sichuan Provincial Education Department under Grant No. 15ZB0359.

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Authors and Affiliations

  1. Chengdu Neusoft University, Dujiangyan, Chengdu, Sichuan, China

    Qiutong Li, Yuechen Yang & Baocai Zhong

Authors
  1. Qiutong Li
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  2. Yuechen Yang
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  3. Baocai Zhong
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Corresponding author

Correspondence to Yuechen Yang .

Editor information

Editors and Affiliations

  1. College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China

    Kangshun Li

  2. Jiangxi University of Science and Technology, Ganzhou, Jiangxi, China

    Wei Li

  3. Chemical and Petroleum Engineering, University of Calgary, Calgary, Alberta, Canada

    Zhangxing Chen

  4. School of Computer Science and Engineering, The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Yong Liu

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Li, Q., Yang, Y., Zhong, B. (2018). A Business Resource Scheduled Algorithm of TD-LTE Trunking System Based on QoS. In: Li, K., Li, W., Chen, Z., Liu, Y. (eds) Computational Intelligence and Intelligent Systems. ISICA 2017. Communications in Computer and Information Science, vol 874. Springer, Singapore. https://doi.org/10.1007/978-981-13-1651-7_31

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  • DOI: https://doi.org/10.1007/978-981-13-1651-7_31

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1650-0

  • Online ISBN: 978-981-13-1651-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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