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Hardware Efficient Massive MIMO Systems with Optimal Antenna Selection.

Shenko Chura Aredo1, Yalemzewd Negash2, Yihenew Wondie Marye2

  • 1School of Electrical and Computer Engineering, Hawassa University, Hawaasa 05, Ethiopia.

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Summary
This summary is machine-generated.

Reducing Radio Frequency chains in massive MIMO systems using antenna selection and low-resolution Digital to Analogue Conversion significantly cuts power consumption and boosts energy efficiency.

Keywords:
Digital to Analogue Conversionantenna selectionbeamformingenergy efficiencymassive MIMOmmWave

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Area of Science:

  • Wireless communication
  • Signal processing
  • Energy-efficient systems

Background:

  • Massive MIMO systems increase power consumption due to numerous Radio Frequency (RF) chains.
  • Digital beamforming exacerbates power demands with a high antenna count (M).

Purpose of the Study:

  • To evaluate low-resolution Digital to Analogue Conversion (DAC) and antenna selection for reducing power consumption in massive MIMO.
  • To enhance energy efficiency in massive MIMO systems with manageable complexity.

Main Methods:

  • Investigated antenna selection and low-resolution DAC techniques.
  • Evaluated performance in free space and Close In (CI) path-loss models.
  • Simulated power consumption and energy efficiency.

Main Results:

  • Power consumption decreased with the implementation of antenna selection and low-resolution DAC.
  • Energy efficiency improved compared to systems using full arrays and high-resolution DAC.
  • The proposed methods offer a viable solution for complex mMIMO systems.

Conclusions:

  • Antenna selection and low-resolution DAC are effective strategies for energy efficiency in massive MIMO.
  • These techniques reduce power consumption without significantly compromising system performance.
  • The findings support the development of more sustainable wireless communication technologies.