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Link to original content: https://doi.org/10.1007/978-3-319-66628-0_9
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System Level Performance Evaluation for Ultra-Dense Networks

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Communications and Networking (ChinaCom 2016)

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Abstract

The ultra-dense network (UND) has been considered as an effective scheme to satisfy the growing demands on data rate in the wireless network. And it can easily improve the throughput by increasing the number of base stations. In this paper, the performance of UDN with various small cell densities is evaluated. And the throughput, spectrum efficiency and energy efficiency are taken into consideration to evaluate the performance of the deployment strategies. As can be seen from the simulation results, the throughput and area spectrum efficiency are obviously improved with the increasingly dense cells. However, as the network densification the positive influence on throughput and spectrum efficiency would be decreased.

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Acknowledgments

This work is supported by National Science and Technology Major Project (No. 2014ZX03003010-004) and National High Technology Research and Development Program of China 863 Program (No. 2014AA01A701), as well as Chongqing Natural Science Foundation (No. CSTC2012jjA40049).

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Authors and Affiliations

  1. Chongqing Key Lab of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China

    Qianbin Chen, Ya Zhang & Lun Tang

Authors
  1. Qianbin Chen
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  2. Ya Zhang
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  3. Lun Tang
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Corresponding author

Correspondence to Qianbin Chen .

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Editors and Affiliations

  1. Post and Telecommunications, Chongqing University, Chongqing, China

    Qianbin Chen

  2. Harbin Institute of Technology (HIT), Harbin, China

    Weixiao Meng

  3. Xidian University, Xi’an, China

    Liqiang Zhao

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Chen, Q., Zhang, Y., Tang, L. (2018). System Level Performance Evaluation for Ultra-Dense Networks. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-319-66628-0_9

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  • DOI: https://doi.org/10.1007/978-3-319-66628-0_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66627-3

  • Online ISBN: 978-3-319-66628-0

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