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Performance Analysis of Non-coherent Massive SIMO Systems with Antenna Correlation

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Communications and Networking (ChinaCom 2018)

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Abstract

Recently, energy detection (ED) has been investigated in massive single-input multiple-output (SIMO) systems, where transmit symbols can be decoded by averaging the received power across all receive antennas. In this paper, we concentrate on the performance of non-coherent massive SIMO in the presence of antenna correlation. Specifically, closed-form expressions of symbol error rate (SER) and achievable rate are derived. Furthermore, asymptotic behaviors of SER and achievable rate in regimes of a large number of receive antennas, high antenna correlation and large signal-to-noise ratio (SNR) are investigated. Interestingly, the results show that antenna correlation poses a great impact to SER, but has little effect on the achievable rate. Numerical results are presented to verify our analytical results.

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Author information

Authors and Affiliations

  1. Chongqing University, No. 174 Shazhengjie, Shapingba, Chongqing, 400044, China

    Weiyang Xu, Huiqiang Xie & Shengbo Xu

Authors
  1. Weiyang Xu
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  2. Huiqiang Xie
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  3. Shengbo Xu
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Correspondence to Weiyang Xu .

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Editors and Affiliations

  1. School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China

    Xingang Liu

  2. University of Electronic Science and Technology of China, Chengdu, China

    Dai Cheng

  3. University of Electronic Science and Technology of China, Chengdu, China

    Lai Jinfeng

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Xu, W., Xie, H., Xu, S. (2019). Performance Analysis of Non-coherent Massive SIMO Systems with Antenna Correlation. In: Liu, X., Cheng, D., Jinfeng, L. (eds) Communications and Networking. ChinaCom 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 262. Springer, Cham. https://doi.org/10.1007/978-3-030-06161-6_44

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  • DOI: https://doi.org/10.1007/978-3-030-06161-6_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-06160-9

  • Online ISBN: 978-3-030-06161-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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