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

R Rajaganapathi1, S Senthilkumar2, Eatedal Alabdulkreem3

  • 1Department of Electronics and Communication Engineering, Anjalai Ammal Mahaligam Engineering College, Thiruvarur, 614403, Tamil Nadu, India. ganapathiphd1974@gmail.com.

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|January 27, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a hybrid precoding design for millimeter wave (mmWave) distributed massive MIMO systems, enhancing spectral efficiency with reduced complexity. The proposed method optimizes analog and digital precoding for improved data transfer.

Keywords:
Distributed massive MIMODownlinkFullyconnectedHybrid precodingMulti-userOptimization

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Area of Science:

  • Wireless communication
  • Signal processing
  • Antenna theory

Background:

  • Distributed massive MIMO systems at millimeter wave (mmWave) frequencies utilize analog and digital precoding for efficient data transfer.
  • Hybrid precoding offers a balance between spectral efficiency, complexity, and cost compared to fully digital systems.

Purpose of the Study:

  • To propose a fully connected hybrid precoding design for downlink mmWave distributed massive multi-user MIMO.
  • To maximize spectral efficiency (SE) under analog radio frequency (RF) precoding and power budget constraints.

Main Methods:

  • A two-stage iterative algorithm is developed to find optimal analog and digital beamforming matrices.
  • The algorithm optimizes the digital matrix first, then the analog RF precoder matrix, using Karush-Kuhn-Tucker (KKT) conditions.

Main Results:

  • The proposed hybrid precoding design significantly enhances the sum rate compared to existing methods.
  • The system performance approaches that of fully digital systems while maintaining lower complexity.

Conclusions:

  • The developed hybrid precoding strategy effectively maximizes spectral efficiency in mmWave distributed massive MIMO systems.
  • This approach offers a practical solution for high-performance wireless communication with reduced resource overhead.