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Improving spectral efficiency in distributed massive MIMO in multi-user downlink millimeter wave
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  • Published: 27 January 2026

Improving spectral efficiency in distributed massive MIMO in multi-user downlink millimeter wave

  • R. Rajaganapathi1,
  • S. Senthilkumar2,
  • Eatedal Alabdulkreem3 &
  • …
  • Nuha Alruwais4 

Scientific Reports , Article number:  (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Electrical and electronic engineering
  • Engineering

Abstract

Analog and digital precoding are used in distributed massive multiple-input multiple-output (MIMO) at millimeter wave (mmWave) frequencies to efficiently manage data transfer across several antennas and base stations (BSs) situated at different locations. This method enhances spectral efficiency(SE) in spite of having a smaller amount complexity and cost compared fully digital systems. This paper presents a fully connected hybrid precoding design for a downlink mmWave dispensed or distributed massive multi-user MIMO. The objective function for the optimization problem is the SE of the proposed system, subject to constraints on analog radio frequency (RF) precoding and power budget. The main aim is to maximize SE. Due to the nonconvex nature of the problem, a two-stage iterative algorithm is proposed to conclude the optimal analog and digital beamforming matrices and sum rate. The 1st stage obtains the optimal digital matrix assuming the analog RF precoder matrix is known, followed by acquiring the optimal analog RF precoder matrix in the next step. The Karush–Kuhn–Tucker (KKT) condition for each maximization problem are compute and examine to derive the solving algorithms for each stage. The simulation results display that the proposed design outperforms current methods in sum rate and approaches the performance of fully digital systems with reduced complexity compared to other alternatives.

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Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.

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Acknowledgements

Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2026R161), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. Research Supporting Project number (RSPD2026R608), King Saud University, Riyadh, Saudi Arabia.

Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Anjalai Ammal Mahaligam Engineering College, Thiruvarur, 614403, Tamil Nadu, India

    R. Rajaganapathi

  2. Department of Electronics and Communication Engineering, E.G.S. Pillay Engineering College, Nagapattinam, 611002, Tamil Nadu, India

    S. Senthilkumar

  3. Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia

    Eatedal Alabdulkreem

  4. Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, P.O. Box 22459, Riyadh, 11495, Saudi Arabia

    Nuha Alruwais

Authors
  1. R. Rajaganapathi
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  2. S. Senthilkumar
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  3. Eatedal Alabdulkreem
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  4. Nuha Alruwais
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Contributions

R. Rajaganapathy – Developed mathematical equations, conduct the research work and draft the first copy of the manuscript. S. Senthilkumar, Eatedal Alabdulkreem, Nuha Alruwais – Supported in the literature review based on the existing research works and support to final drafting of this paper.

Corresponding author

Correspondence to R. Rajaganapathi.

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Cite this article

Rajaganapathi, R., Senthilkumar, S., Alabdulkreem, E. et al. Improving spectral efficiency in distributed massive MIMO in multi-user downlink millimeter wave. Sci Rep (2026). https://doi.org/10.1038/s41598-026-37016-w

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  • Received: 20 November 2024

  • Accepted: 19 January 2026

  • Published: 27 January 2026

  • DOI: https://doi.org/10.1038/s41598-026-37016-w

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Keywords

  • Downlink
  • Fullyconnected
  • Hybrid precoding
  • Multi-user
  • Optimization
  • Distributed massive MIMO
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