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Efficient Channel Estimation in mm Wave Massive MIMO Using Hybrid Beamforming

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Proceedings of First International Conference on Computational Electronics for Wireless Communications

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 329))

Abstract

Beamforming with MIMO (Multiple-Input Multiple-Output) system is only solution to maximize high data rate and extended cell coverage with satisfying quality of Service (QoS) for fifth generation (5G) cellular networks. In hybrid millimeter-wave (mmWave) massive MIMO systems, estimation of information about Channel State is difficult due to the large channel and small number of RF chains. The present paper accomplishes millimeter-wave-based massive MIMO for hybrid beamforming based on Sparse Estimation. The proposed iterative hybrid algorithms accomplish the low rank and beamforming sparsity properties in massive MIMO to gain full data recovery with minimal error for small time duration. The proposed work model is an mmWave-based beamforming system with imperfect channel state information (CSI) to minimize channel estimation errors. Experimental section highlights the efficiency of our proposed method over traditional methods for the sake of simulation with accounting its improved temporal efficiency, fast convergence, and tolerance to abnormality channel information.

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Author information

Authors and Affiliations

  1. University Institute of Engineering & Technology (UIET), Panjab University, Chandigarh, India

    Neha, Naresh Kumar & Aarti Kochhar

  2. Punjab Remote Sensing Centre, Ludhiana, India

    Aarti Kochhar

Authors
  1. Neha
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  2. Naresh Kumar
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  3. Aarti Kochhar
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Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Manipal University Jaipur, Jaipur, Rajasthan, India

    Sanyog Rawat

  2. Department of Electronics and Communication Engineering, National Institute of Technology Kurukshetra, Kurukshetra, Haryana, India

    Arvind Kumar

  3. Department of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India

    Pramod Kumar

  4. Telecommunication Engineering, Ramon Llull University, Barcelona, Spain

    Jaume Anguera

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Neha, Kumar, N., Kochhar, A. (2022). Efficient Channel Estimation in mm Wave Massive MIMO Using Hybrid Beamforming. In: Rawat, S., Kumar, A., Kumar, P., Anguera, J. (eds) Proceedings of First International Conference on Computational Electronics for Wireless Communications. Lecture Notes in Networks and Systems, vol 329. Springer, Singapore. https://doi.org/10.1007/978-981-16-6246-1_8

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  • DOI: https://doi.org/10.1007/978-981-16-6246-1_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-6245-4

  • Online ISBN: 978-981-16-6246-1

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