Maximizing energy efficiency for consumption circuit power in downlink massive MIMO wireless networks
Massive multi-input–multi-output (MIMO) systems are crucial to maximizing energy efficiency (EE) and battery-saving technology. Achieving EE without sacrificing the quality of service (QoS) is increasingly important for mobile devices. We first derive the data rate through zero forcing (ZF) and thre...
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| Format: | Article |
| Language: | English |
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Institute of Advanced Engineering and Science
2017
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| Online Access: | http://eprints.uthm.edu.my/5178/1/AJ%202017%20%28309%29%20Maximizing%20energy%20efficiency%20for%20consumption%20circuit%20power.pdf |
| _version_ | 1796869156826513408 |
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| author | Salh, Adeeb Audah, Lukman M. Shah, Nor Shahida A. Hamzah, Shipun |
| author_facet | Salh, Adeeb Audah, Lukman M. Shah, Nor Shahida A. Hamzah, Shipun |
| author_sort | Salh, Adeeb |
| collection | UTHM |
| description | Massive multi-input–multi-output (MIMO) systems are crucial to maximizing energy efficiency (EE) and battery-saving technology. Achieving EE without sacrificing the quality of service (QoS) is increasingly important for mobile devices. We first derive the data rate through zero forcing (ZF) and three linear precodings: maximum ratio transmission (MRT), zero forcing (ZF), and minimum mean square error (MMSE). Performance EE can be achieved when all available antennas are used and when taking account of the consumption circuit power ignored because of high transmit power. The aim of this work is to demonstrate how to obtain maximum EE while minimizing power consumed, which achieves a high data rate by deriving the optimal number of antennas in the downlink massive MIMO system. This system includes not only the transmitted power but also the fundamental operation circuit power at the transmitter signal. Maximized EE depends on the optimal number of antennas and determines the number of active users that should be scheduled in each cell. We conclude that the linear precoding technique MMSE achieves the maximum EE more than ZF and MRT because the MMSE is able to make the massive MIMO system less sensitive to SNR at an increased number of antennas. |
| first_indexed | 2024-03-05T21:50:38Z |
| format | Article |
| id | uthm.eprints-5178 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T21:50:38Z |
| publishDate | 2017 |
| publisher | Institute of Advanced Engineering and Science |
| record_format | dspace |
| spelling | uthm.eprints-51782022-01-06T04:02:04Z http://eprints.uthm.edu.my/5178/ Maximizing energy efficiency for consumption circuit power in downlink massive MIMO wireless networks Salh, Adeeb Audah, Lukman M. Shah, Nor Shahida A. Hamzah, Shipun TK Electrical engineering. Electronics Nuclear engineering TK7800-8360 Electronics Massive multi-input–multi-output (MIMO) systems are crucial to maximizing energy efficiency (EE) and battery-saving technology. Achieving EE without sacrificing the quality of service (QoS) is increasingly important for mobile devices. We first derive the data rate through zero forcing (ZF) and three linear precodings: maximum ratio transmission (MRT), zero forcing (ZF), and minimum mean square error (MMSE). Performance EE can be achieved when all available antennas are used and when taking account of the consumption circuit power ignored because of high transmit power. The aim of this work is to demonstrate how to obtain maximum EE while minimizing power consumed, which achieves a high data rate by deriving the optimal number of antennas in the downlink massive MIMO system. This system includes not only the transmitted power but also the fundamental operation circuit power at the transmitter signal. Maximized EE depends on the optimal number of antennas and determines the number of active users that should be scheduled in each cell. We conclude that the linear precoding technique MMSE achieves the maximum EE more than ZF and MRT because the MMSE is able to make the massive MIMO system less sensitive to SNR at an increased number of antennas. Institute of Advanced Engineering and Science 2017 Article PeerReviewed text en http://eprints.uthm.edu.my/5178/1/AJ%202017%20%28309%29%20Maximizing%20energy%20efficiency%20for%20consumption%20circuit%20power.pdf Salh, Adeeb and Audah, Lukman and M. Shah, Nor Shahida and A. Hamzah, Shipun (2017) Maximizing energy efficiency for consumption circuit power in downlink massive MIMO wireless networks. International Journal of Electrical and Computer Engineering (IJECE). pp. 31-39. ISSN 2088-8708 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering TK7800-8360 Electronics Salh, Adeeb Audah, Lukman M. Shah, Nor Shahida A. Hamzah, Shipun Maximizing energy efficiency for consumption circuit power in downlink massive MIMO wireless networks |
| title | Maximizing energy efficiency for consumption circuit power in downlink massive MIMO wireless networks |
| title_full | Maximizing energy efficiency for consumption circuit power in downlink massive MIMO wireless networks |
| title_fullStr | Maximizing energy efficiency for consumption circuit power in downlink massive MIMO wireless networks |
| title_full_unstemmed | Maximizing energy efficiency for consumption circuit power in downlink massive MIMO wireless networks |
| title_short | Maximizing energy efficiency for consumption circuit power in downlink massive MIMO wireless networks |
| title_sort | maximizing energy efficiency for consumption circuit power in downlink massive mimo wireless networks |
| topic | TK Electrical engineering. Electronics Nuclear engineering TK7800-8360 Electronics |
| url | http://eprints.uthm.edu.my/5178/1/AJ%202017%20%28309%29%20Maximizing%20energy%20efficiency%20for%20consumption%20circuit%20power.pdf |
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