Hardware Efficient Massive MIMO Systems with Optimal Antenna Selection
An increase in the number of transmit antennas (M) poses an equivalent rise in the number of Radio Frequency (RF) chains associated with each antenna element, particularly in digital beamforming. The chain exhibits a substantial amount of power consumption accordingly. Hence, to alleviate such probl...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-02-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/5/1743 |
| _version_ | 1797473823383093248 |
|---|---|
| author | Shenko Chura Aredo Yalemzewd Negash Yihenew Wondie Marye Hailu Belay Kassa Kevin T. Kornegay Feyisa Debo Diba |
| author_facet | Shenko Chura Aredo Yalemzewd Negash Yihenew Wondie Marye Hailu Belay Kassa Kevin T. Kornegay Feyisa Debo Diba |
| author_sort | Shenko Chura Aredo |
| collection | DOAJ |
| description | An increase in the number of transmit antennas (M) poses an equivalent rise in the number of Radio Frequency (RF) chains associated with each antenna element, particularly in digital beamforming. The chain exhibits a substantial amount of power consumption accordingly. Hence, to alleviate such problems, one of the potential solutions is to reduce the number of RFs or to minimize their power consumption. In this paper, low-resolution Digital to Analogue Conversion (DAC) and transmit antenna selection at the downlink are evaluated to favour reducing the total power consumption and achieving energy efficiency in mMIMO with reasonable complexity. Antenna selection and low-resolution DAC techniques are proposed to leverage massive MIMO systems in free space and Close In (CI) path-loss models. The simulation results show that the power consumption decreases with antenna selection and low-resolution DAC. Then, the system achieves more energy efficiency than without low-resolution of DAC and full array utilization. |
| first_indexed | 2024-03-09T20:22:49Z |
| format | Article |
| id | doaj.art-ef4d7233f74b449f9e50761dcb7365d6 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T20:22:49Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-ef4d7233f74b449f9e50761dcb7365d62023-11-23T23:45:27ZengMDPI AGSensors1424-82202022-02-01225174310.3390/s22051743Hardware Efficient Massive MIMO Systems with Optimal Antenna SelectionShenko Chura Aredo0Yalemzewd Negash1Yihenew Wondie Marye2Hailu Belay Kassa3Kevin T. Kornegay4Feyisa Debo Diba5School of Electrical and Computer Engineering, Hawassa University, Hawaasa 05, EthiopiaSchool of Electrical and Computer Engineering, Addis Ababa University, Addis Ababa 1176, EthiopiaSchool of Electrical and Computer Engineering, Addis Ababa University, Addis Ababa 1176, EthiopiaDepartment of Electrical & Computer Engineering, Morgan State University, Baltimore, MD 21251, USADepartment of Electrical & Computer Engineering, Morgan State University, Baltimore, MD 21251, USAScool of Electrical Engineering and Computing, Adama Science and Technology University, Adama 1024, EthiopiaAn increase in the number of transmit antennas (M) poses an equivalent rise in the number of Radio Frequency (RF) chains associated with each antenna element, particularly in digital beamforming. The chain exhibits a substantial amount of power consumption accordingly. Hence, to alleviate such problems, one of the potential solutions is to reduce the number of RFs or to minimize their power consumption. In this paper, low-resolution Digital to Analogue Conversion (DAC) and transmit antenna selection at the downlink are evaluated to favour reducing the total power consumption and achieving energy efficiency in mMIMO with reasonable complexity. Antenna selection and low-resolution DAC techniques are proposed to leverage massive MIMO systems in free space and Close In (CI) path-loss models. The simulation results show that the power consumption decreases with antenna selection and low-resolution DAC. Then, the system achieves more energy efficiency than without low-resolution of DAC and full array utilization.https://www.mdpi.com/1424-8220/22/5/1743antenna selectionbeamformingDigital to Analogue Conversionenergy efficiencymassive MIMOmmWave |
| spellingShingle | Shenko Chura Aredo Yalemzewd Negash Yihenew Wondie Marye Hailu Belay Kassa Kevin T. Kornegay Feyisa Debo Diba Hardware Efficient Massive MIMO Systems with Optimal Antenna Selection Sensors antenna selection beamforming Digital to Analogue Conversion energy efficiency massive MIMO mmWave |
| title | Hardware Efficient Massive MIMO Systems with Optimal Antenna Selection |
| title_full | Hardware Efficient Massive MIMO Systems with Optimal Antenna Selection |
| title_fullStr | Hardware Efficient Massive MIMO Systems with Optimal Antenna Selection |
| title_full_unstemmed | Hardware Efficient Massive MIMO Systems with Optimal Antenna Selection |
| title_short | Hardware Efficient Massive MIMO Systems with Optimal Antenna Selection |
| title_sort | hardware efficient massive mimo systems with optimal antenna selection |
| topic | antenna selection beamforming Digital to Analogue Conversion energy efficiency massive MIMO mmWave |
| url | https://www.mdpi.com/1424-8220/22/5/1743 |
| work_keys_str_mv | AT shenkochuraaredo hardwareefficientmassivemimosystemswithoptimalantennaselection AT yalemzewdnegash hardwareefficientmassivemimosystemswithoptimalantennaselection AT yihenewwondiemarye hardwareefficientmassivemimosystemswithoptimalantennaselection AT hailubelaykassa hardwareefficientmassivemimosystemswithoptimalantennaselection AT kevintkornegay hardwareefficientmassivemimosystemswithoptimalantennaselection AT feyisadebodiba hardwareefficientmassivemimosystemswithoptimalantennaselection |