Adaptive antenna selection and power allocation in downlink massive MIMO systems
Massive multi-input, multi-output (MIMO) systems are an exciting area of study and an important technique for fifth-generation (5G) wireless networks that support high data rate traffic. An increased number of antenna arrays at the base station (BS) consumes more power due to a higher number of radi...
| Main Authors: | , , , |
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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/5179/ http://eprints.uthm.edu.my/5179/1/AJ%202017%20%28310%29%20Adaptive%20antenna%20selection%20and%20power%20allocation.pdf |
| _version_ | 1848888486814285824 |
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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 |
| building | UTHM Institutional Repository |
| collection | Online Access |
| description | Massive multi-input, multi-output (MIMO) systems are an exciting area of study and an important technique for fifth-generation (5G) wireless networks that support high data rate traffic. An increased number of antenna arrays at the base station (BS) consumes more power due to a higher number of radio frequency (RF) chains, which cannot be neglected and becomes a technical challenge. In this paper, we investigated how to obtain the maximal data rate by deriving the optimal number of RF chains from a large number of available antenna arrays at the BS when there is equal power allocation among users. Meanwhile, to mitigate inter-user-interference and to compute transmit power allocation, we used the precoding scheme zero forcing beamforming (ZFBF). The achievable data rate is increased because the algorithm of ZFBF enables the choosing of the maximum power in relation to the optimal antenna selection. We conclude that the transmit power allocation allows the use of less number of RF chains which provides the maximum achievable data rate depending on the optimal RF chain at the BS. |
| first_indexed | 2025-11-15T20:11:03Z |
| format | Article |
| id | uthm-5179 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:11:03Z |
| publishDate | 2017 |
| publisher | Institute of Advanced Engineering and Science |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-51792022-01-06T04:02:39Z http://eprints.uthm.edu.my/5179/ Adaptive antenna selection and power allocation in downlink massive MIMO systems Salh, Adeeb Audah, Lukman M. Shah, Nor Shahida A. Hamzah, Shipun TK Electrical engineering. Electronics Nuclear engineering TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television Massive multi-input, multi-output (MIMO) systems are an exciting area of study and an important technique for fifth-generation (5G) wireless networks that support high data rate traffic. An increased number of antenna arrays at the base station (BS) consumes more power due to a higher number of radio frequency (RF) chains, which cannot be neglected and becomes a technical challenge. In this paper, we investigated how to obtain the maximal data rate by deriving the optimal number of RF chains from a large number of available antenna arrays at the BS when there is equal power allocation among users. Meanwhile, to mitigate inter-user-interference and to compute transmit power allocation, we used the precoding scheme zero forcing beamforming (ZFBF). The achievable data rate is increased because the algorithm of ZFBF enables the choosing of the maximum power in relation to the optimal antenna selection. We conclude that the transmit power allocation allows the use of less number of RF chains which provides the maximum achievable data rate depending on the optimal RF chain at the BS. Institute of Advanced Engineering and Science 2017 Article PeerReviewed text en http://eprints.uthm.edu.my/5179/1/AJ%202017%20%28310%29%20Adaptive%20antenna%20selection%20and%20power%20allocation.pdf Salh, Adeeb and Audah, Lukman and M. Shah, Nor Shahida and A. Hamzah, Shipun (2017) Adaptive antenna selection and power allocation in downlink massive MIMO systems. International Journal of Electrical and Computer Engineering (IJECE). pp. 31-39. ISSN 2088-8708 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television Salh, Adeeb Audah, Lukman M. Shah, Nor Shahida A. Hamzah, Shipun Adaptive antenna selection and power allocation in downlink massive MIMO systems |
| title | Adaptive antenna selection and power allocation in downlink massive MIMO systems |
| title_full | Adaptive antenna selection and power allocation in downlink massive MIMO systems |
| title_fullStr | Adaptive antenna selection and power allocation in downlink massive MIMO systems |
| title_full_unstemmed | Adaptive antenna selection and power allocation in downlink massive MIMO systems |
| title_short | Adaptive antenna selection and power allocation in downlink massive MIMO systems |
| title_sort | adaptive antenna selection and power allocation in downlink massive mimo systems |
| topic | TK Electrical engineering. Electronics Nuclear engineering TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television |
| url | http://eprints.uthm.edu.my/5179/ http://eprints.uthm.edu.my/5179/1/AJ%202017%20%28310%29%20Adaptive%20antenna%20selection%20and%20power%20allocation.pdf |