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A Resource Allocation Scheme with Excellent Energy Efficiency Based on the Channel Matrix Sparse

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Communications, Signal Processing, and Systems (CSPS 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 463))

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Abstract

This paper introduces a C-RAN scenario which is overlapping covered with the macrocell, residential microcells, office microcells under different activeness. Due to the large scare-fading in the urban environment, the signal to interference and noise ratio (SINR) between some offices and the family micro base stations are too small to care. Therefore, some interference between micro base stations and user are not considerable. In order to improve the energy efficiency in the CoMP process, this paper presents selective beamforming with channel matrix sparse algorithm. This algorithm greatly reduces the complexity of matrix inversion calculation during beamforming and improves the energy efficiency of the system. Simulation results show that the proposed algorithm can effectively reduce the energy consumption of the baseband and improve the energy efficiency of the system.

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Acknowledgment

This work was supported by the Open Research Fund of State Key Laboratory of Space-Ground Integrated Information Technology under grant No. 2015_SGIIT_KFJJ_TX_02 and the National Science Foundations of China (No. 61671183).

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Authors and Affiliations

  1. State Key Laboratory of Space–Ground Integrated Information, Beijing, China

    Ximu Zhang, Xiaofeng Liu, Haitao Wang, Zhihui Liu & Min Jia

  2. Communication Research Center, Harbin Institute of Technology, Harbin, Helongjiang, China

    Ximu Zhang, Xiaofeng Liu, Haitao Wang, Zhihui Liu & Min Jia

Authors
  1. Ximu Zhang
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  2. Xiaofeng Liu
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  3. Haitao Wang
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  4. Zhihui Liu
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  5. Min Jia
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Corresponding author

Correspondence to Min Jia .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, Texas, USA

    Qilian Liang

  2. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  3. Harbin Institute of Technology, Harbin, Heilongjiang, China

    Min Jia

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Xuhong Feng

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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Zhang, X., Liu, X., Wang, H., Liu, Z., Jia, M. (2019). A Resource Allocation Scheme with Excellent Energy Efficiency Based on the Channel Matrix Sparse. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_325

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  • DOI: https://doi.org/10.1007/978-981-10-6571-2_325

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

  • eBook Packages: EngineeringEngineering (R0)

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