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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.
Sensors (Basel, Switzerland)
|March 10, 2022
Summary
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.
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.
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