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Energy Efficiency Optimization in SFR-Based Power Telecommunication Networks

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Geo-Spatial Knowledge and Intelligence (GSKI 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 848))

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Abstract

Soft Frequency Reuse (SFR) can coordinate the inter-cell interference (ICI) by control the carriers and transmitting power. It will be used in the 5G. With the energy consumption increasing in the wireless network, the energy efficiency is an important index to evaluate the network performance in 5G. In this paper, we investigates the global energy efficiency optimization problem in SFR-based cellular networks. We formulate the global energy efficiency optimization as a fractional program model. It is very hard to solve directly the optimization model. To find the optimal solution of this model, we utilize the Lagrange function and KKT condition to attain the optimal transmitting power allocations. Then, we utilize the simulated annealing method to find the transmitting power allocations and sub-channel assignments. Finally, we make a numerical simulation to validate the algorithm proposed. The simulation results show that our algorithm proposed is feasible.

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Author information

Authors and Affiliations

  1. State Grid Liaoning Electric Power Company Limited, Shenyang, 110006, China

    Honghao Zhao

  2. China Resources Power Investment Co., Ltd., Northeast Branch, Shenyang, 110043, China

    Siwen Zhao

  3. Liaoning Planning and Designing Institute of Post and Telecommunication Company Limited, Shenyang, 110011, China

    Rimin Jiang & Haiyang Huang

  4. State Grid Benxi Electric Power Supply Company, Benxi, 117000, China

    Xiangdong Jiang & Ling Wang

Authors
  1. Honghao Zhao
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  2. Siwen Zhao
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  3. Rimin Jiang
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  4. Haiyang Huang
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  5. Xiangdong Jiang
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  6. Ling Wang
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Corresponding author

Correspondence to Honghao Zhao .

Editor information

Editors and Affiliations

  1. Beijing Institute of Technology, Beijing, China

    Hanning Yuan

  2. Beijing Institute of Technology, Beijing, China

    Jing Geng

  3. Beijing Institute of Technology, Beijing, China

    Chuanlu Liu

  4. Wuhan University, Wuhan, China

    Fuling Bian

  5. Beijing Institute of Technology, Beijing, China

    Tisinee Surapunt

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Zhao, H., Zhao, S., Jiang, R., Huang, H., Jiang, X., Wang, L. (2018). Energy Efficiency Optimization in SFR-Based Power Telecommunication Networks. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 848. Springer, Singapore. https://doi.org/10.1007/978-981-13-0893-2_64

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  • DOI: https://doi.org/10.1007/978-981-13-0893-2_64

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0892-5

  • Online ISBN: 978-981-13-0893-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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