Antenna Selection Based on Matching Theory for Uplink Cell-Free Millimetre Wave Massive Multiple Input Multiple Output Systems
In this paper, we propose a hybrid beamforming architecture with constant phase shifters (CPSs) for uplink cell-free millimetre-wave (mm-Wave) massive multiple-input multiple-output (MIMO) systems based on exploiting antenna selection to reduce power consumption. However, current antenna selection t...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Telecom |
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| Online Access: | https://www.mdpi.com/2673-4001/3/3/24 |
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| author | Abdulrahman Al Ayidh Yusuf Sambo Sofiat Olaosebikan Shuja Ansari Muhammad Ali Imran |
| author_facet | Abdulrahman Al Ayidh Yusuf Sambo Sofiat Olaosebikan Shuja Ansari Muhammad Ali Imran |
| author_sort | Abdulrahman Al Ayidh |
| collection | DOAJ |
| description | In this paper, we propose a hybrid beamforming architecture with constant phase shifters (CPSs) for uplink cell-free millimetre-wave (mm-Wave) massive multiple-input multiple-output (MIMO) systems based on exploiting antenna selection to reduce power consumption. However, current antenna selection techniques are applied for conventional massive MIMO, not cell-free massive MIMO systems. Therefore, the enormous computational complexity of these techniques to optimally select antennas for cell-free massive MIMO networks is caused by numerous randomly distributed access points (APs) in the service area and their large antennas. The architecture proposed in this work solves this issue by employing a low-complexity matching technique to obtain the optimal number of antennas, chosen based on channel magnitude and by switching off antennas that contribute more to interference power than to desired signal power for each radio frequency (RF) chain at each AP, instead of assuming all RF chains at each AP have the same number of selected antennas. Therefore, an assignment optimization problem based on a bipartite graph is formulated for cell-free mm-Wave massive MIMO system uplinks. Then, the Hungarian method is proposed to solve this problem due to its ability to solve this assignment problem in a polynomial time. Simulated results show that, despite several APs and antennas, the proposed matching approach is more energy-efficient and has lower computational complexity than state-of-the-art schemes. |
| first_indexed | 2024-03-09T22:21:30Z |
| format | Article |
| id | doaj.art-c5c72fe6bee1453da797ec42b1809421 |
| institution | Directory Open Access Journal |
| issn | 2673-4001 |
| language | English |
| last_indexed | 2024-03-09T22:21:30Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Telecom |
| spelling | doaj.art-c5c72fe6bee1453da797ec42b18094212023-11-23T19:14:02ZengMDPI AGTelecom2673-40012022-07-013344846610.3390/telecom3030024Antenna Selection Based on Matching Theory for Uplink Cell-Free Millimetre Wave Massive Multiple Input Multiple Output SystemsAbdulrahman Al Ayidh0Yusuf Sambo1Sofiat Olaosebikan2Shuja Ansari3Muhammad Ali Imran4School of Engineering, University of Glasgow, Glasgow G12 8QQ, UKSchool of Engineering, University of Glasgow, Glasgow G12 8QQ, UKSchool of Computing Science, University of Glasgow, Glasgow G12 8RZ, UKSchool of Engineering, University of Glasgow, Glasgow G12 8QQ, UKSchool of Engineering, University of Glasgow, Glasgow G12 8QQ, UKIn this paper, we propose a hybrid beamforming architecture with constant phase shifters (CPSs) for uplink cell-free millimetre-wave (mm-Wave) massive multiple-input multiple-output (MIMO) systems based on exploiting antenna selection to reduce power consumption. However, current antenna selection techniques are applied for conventional massive MIMO, not cell-free massive MIMO systems. Therefore, the enormous computational complexity of these techniques to optimally select antennas for cell-free massive MIMO networks is caused by numerous randomly distributed access points (APs) in the service area and their large antennas. The architecture proposed in this work solves this issue by employing a low-complexity matching technique to obtain the optimal number of antennas, chosen based on channel magnitude and by switching off antennas that contribute more to interference power than to desired signal power for each radio frequency (RF) chain at each AP, instead of assuming all RF chains at each AP have the same number of selected antennas. Therefore, an assignment optimization problem based on a bipartite graph is formulated for cell-free mm-Wave massive MIMO system uplinks. Then, the Hungarian method is proposed to solve this problem due to its ability to solve this assignment problem in a polynomial time. Simulated results show that, despite several APs and antennas, the proposed matching approach is more energy-efficient and has lower computational complexity than state-of-the-art schemes.https://www.mdpi.com/2673-4001/3/3/24mm-Wave communicationshybrid beamformingcell-free massive MIMOmatching theoryHungarian algorithmantenna selection |
| spellingShingle | Abdulrahman Al Ayidh Yusuf Sambo Sofiat Olaosebikan Shuja Ansari Muhammad Ali Imran Antenna Selection Based on Matching Theory for Uplink Cell-Free Millimetre Wave Massive Multiple Input Multiple Output Systems Telecom mm-Wave communications hybrid beamforming cell-free massive MIMO matching theory Hungarian algorithm antenna selection |
| title | Antenna Selection Based on Matching Theory for Uplink Cell-Free Millimetre Wave Massive Multiple Input Multiple Output Systems |
| title_full | Antenna Selection Based on Matching Theory for Uplink Cell-Free Millimetre Wave Massive Multiple Input Multiple Output Systems |
| title_fullStr | Antenna Selection Based on Matching Theory for Uplink Cell-Free Millimetre Wave Massive Multiple Input Multiple Output Systems |
| title_full_unstemmed | Antenna Selection Based on Matching Theory for Uplink Cell-Free Millimetre Wave Massive Multiple Input Multiple Output Systems |
| title_short | Antenna Selection Based on Matching Theory for Uplink Cell-Free Millimetre Wave Massive Multiple Input Multiple Output Systems |
| title_sort | antenna selection based on matching theory for uplink cell free millimetre wave massive multiple input multiple output systems |
| topic | mm-Wave communications hybrid beamforming cell-free massive MIMO matching theory Hungarian algorithm antenna selection |
| url | https://www.mdpi.com/2673-4001/3/3/24 |
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