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On the Downlink Ergodic Throughput Capacity of Hybrid Wireless Networks with Massive MIMO

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Communications, Signal Processing, and Systems (CSPS 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 515))

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Abstract

In this paper, the entire network model is a hybrid wireless network model in which each base station is connected to each other via a wired link. In the downlink transmission phase, a large number of antennas (Massive MIMO) are placed at the base station to serve the single node. We derived the ergodic capacity expressions of low SNR and high SNR over Nakagami-m fading, respectively, and analyzed the ergodic capacity change with the number of antennas M on the base station and the shape parameter m.

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Authors and Affiliations

  1. Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin, 300387, China

    Baoju Zhang & Yipeng Tian

Authors
  1. Baoju Zhang
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  2. Yipeng Tian
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Corresponding author

Correspondence to Baoju Zhang .

Editor information

Editors and Affiliations

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

    Qilian Liang

  2. School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, China

    Xin Liu

  3. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  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

    Jiasong Mu

  6. College of Physical and Electronic Information, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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Zhang, B., Tian, Y. (2019). On the Downlink Ergodic Throughput Capacity of Hybrid Wireless Networks with Massive MIMO. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 515. Springer, Singapore. https://doi.org/10.1007/978-981-13-6264-4_17

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  • DOI: https://doi.org/10.1007/978-981-13-6264-4_17

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6263-7

  • Online ISBN: 978-981-13-6264-4

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