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Hybrid Beamforming in Massive MIMO for Next-Generation Communication Technology.

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Hybrid beamforming offers a cost-effective solution for massive multiple-input multiple-output systems, matching digital beamforming speeds. This study compares analog, digital, and hybrid techniques, highlighting hybrid beamforming

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Area of Science:

  • Electrical Engineering
  • Telecommunications Engineering
  • Signal Processing

Background:

  • Massive multiple-input multiple-output (MIMO) systems are crucial for high data rates.
  • Digital beamforming, while effective, suffers from high complexity and cost.
  • Hybrid beamforming presents a promising alternative to balance performance and resource efficiency.

Purpose of the Study:

  • To evaluate the performance of analog, digital, and hybrid beamforming techniques in massive MIMO systems.
  • To specifically assess the effectiveness and characteristics of hybrid beamforming architectures.
  • To provide a comprehensive comparison of the three beamforming approaches.

Main Methods:

  • Analysis of three beamforming architectures: Analog, Digital, and Hybrid.
  • Detailed discussion of massive MIMO system parameters.
  • Performance evaluation based on metrics like bit error rate, SNR, sum rate, power consumption, and energy efficiency.

Main Results:

  • Hybrid beamforming significantly reduces complexity and cost compared to digital beamforming.
  • Performance metrics such as bit error rate and achievable sum rate are analyzed for each technique.
  • Power consumption and energy efficiency are key differentiating factors.

Conclusions:

  • Hybrid beamforming is a viable and efficient method for massive MIMO systems.
  • The study establishes a clear comparison between analog, digital, and hybrid beamforming.
  • Findings support the adoption of hybrid beamforming for future wireless communication systems.