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Pilot Contamination Elimination in Massive MIMO Systems

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Advances in Internetworking, Data & Web Technologies (EIDWT 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 6))

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Abstract

The pilot contamination problem has been the primary limitation of massive multiple input multiple output (MIMO) systems. To improve it, in this paper, we propose a dynamical pilot assignment algorithm based on the priority of user location. First, we obtain the formulation of signal to interference plus noise power ratio (SINR) in uplink channel through minimum mean square error (MMSE) mechanism. Second, an objective function of SINR is defined together with constraint condition of real distance, based on which optimal value (OV) could be achieved. Third, we propose a novel cellular classification algorithm, that is, area with better channels adopts random pilot assignment scheme, and others use the novel algorithm. Last, the proposed algorithm is compared with the traditional algorithm. The results show that the proposed algorithm can effectively reduce the influence of pilot contamination on the communication performance and improve the system SINR and the system capacity.

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Author information

Authors and Affiliations

  1. Department of Information Engineering, Engineering University of CAPF, Xi’an, 710086, China

    Rui-Chao Hu & Bing-He Wang

Authors
  1. Rui-Chao Hu
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  2. Bing-He Wang
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Corresponding author

Correspondence to Rui-Chao Hu .

Editor information

Editors and Affiliations

  1. Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. School of Computer Sciences, Hubei University of Technology, Wuhan, China

    Mingwu Zhang

  3. Department of Electronic Technology, Key, Engineering University of CAPF, Xi’an, Xizang, China

    Xu An Wang

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Hu, RC., Wang, BH. (2018). Pilot Contamination Elimination in Massive MIMO Systems. In: Barolli, L., Zhang, M., Wang, X. (eds) Advances in Internetworking, Data & Web Technologies. EIDWT 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 6. Springer, Cham. https://doi.org/10.1007/978-3-319-59463-7_69

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  • DOI: https://doi.org/10.1007/978-3-319-59463-7_69

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59462-0

  • Online ISBN: 978-3-319-59463-7

  • eBook Packages: EngineeringEngineering (R0)

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