A highly efficient algorithm for phased-array mmWave massive MIMO beamforming
With the rapid development of the mobile internet and the internet of things (IoT), the fifth generation (5G) mobile communication system is seeing explosive growth in data traffic. In addition, low-frequency spectrum resources are becoming increasingly scarce and there is now an urgent need to swit...
| Main Authors: | , , , , , , , |
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| Format: | Article |
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Tech Science Press
2021
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| _version_ | 1796983138537177088 |
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| author | Althuwayb, Ayman Abdulhadi Hashim, Fazirulhisyam Liew, Jiun Terng Khan, Imran Jeong, Woo Lee Affum, Emmanuel Ampoma Ouahabi, Abdeldjalil Jacques, Sébastien |
| author_facet | Althuwayb, Ayman Abdulhadi Hashim, Fazirulhisyam Liew, Jiun Terng Khan, Imran Jeong, Woo Lee Affum, Emmanuel Ampoma Ouahabi, Abdeldjalil Jacques, Sébastien |
| author_sort | Althuwayb, Ayman Abdulhadi |
| collection | UPM |
| description | With the rapid development of the mobile internet and the internet of things (IoT), the fifth generation (5G) mobile communication system is seeing explosive growth in data traffic. In addition, low-frequency spectrum resources are becoming increasingly scarce and there is now an urgent need to switch to higher frequency bands. Millimeter wave (mmWave) technology has several outstanding features—it is one of the most well-known 5G technologies and has the capacity to fulfil many of the requirements of future wireless networks. Importantly, it has an abundant resource spectrum, which can significantly increase the communication rate of a mobile communication system. As such, it is now considered a key technology for future mobile communications. MmWave communication technology also has a more open network architecture; it can deliver varied services and be applied in many scenarios. By contrast, traditional, all-digital precoding systems have the drawbacks of high computational complexity and higher power consumption. This paper examines the implementation of a new hybrid precoding system that significantly reduces both calculational complexity and energy consumption. The primary idea is to generate several sub-channels with equal gain by dividing the channel by the geometric mean decomposition (GMD). In this process, the objective function of the spectral efficiency is derived, then the basic tracking principle and least square (LS) techniques are deployed to design the proposed hybrid precoding. Simulation results show that the proposed algorithm significantly improves system performance and reduces computational complexity by more than 45% compared to traditional algorithms. |
| first_indexed | 2024-03-06T11:02:10Z |
| format | Article |
| id | upm.eprints-95754 |
| institution | Universiti Putra Malaysia |
| last_indexed | 2024-03-06T11:02:10Z |
| publishDate | 2021 |
| publisher | Tech Science Press |
| record_format | dspace |
| spelling | upm.eprints-957542023-04-04T04:30:09Z http://psasir.upm.edu.my/id/eprint/95754/ A highly efficient algorithm for phased-array mmWave massive MIMO beamforming Althuwayb, Ayman Abdulhadi Hashim, Fazirulhisyam Liew, Jiun Terng Khan, Imran Jeong, Woo Lee Affum, Emmanuel Ampoma Ouahabi, Abdeldjalil Jacques, Sébastien With the rapid development of the mobile internet and the internet of things (IoT), the fifth generation (5G) mobile communication system is seeing explosive growth in data traffic. In addition, low-frequency spectrum resources are becoming increasingly scarce and there is now an urgent need to switch to higher frequency bands. Millimeter wave (mmWave) technology has several outstanding features—it is one of the most well-known 5G technologies and has the capacity to fulfil many of the requirements of future wireless networks. Importantly, it has an abundant resource spectrum, which can significantly increase the communication rate of a mobile communication system. As such, it is now considered a key technology for future mobile communications. MmWave communication technology also has a more open network architecture; it can deliver varied services and be applied in many scenarios. By contrast, traditional, all-digital precoding systems have the drawbacks of high computational complexity and higher power consumption. This paper examines the implementation of a new hybrid precoding system that significantly reduces both calculational complexity and energy consumption. The primary idea is to generate several sub-channels with equal gain by dividing the channel by the geometric mean decomposition (GMD). In this process, the objective function of the spectral efficiency is derived, then the basic tracking principle and least square (LS) techniques are deployed to design the proposed hybrid precoding. Simulation results show that the proposed algorithm significantly improves system performance and reduces computational complexity by more than 45% compared to traditional algorithms. Tech Science Press 2021 Article PeerReviewed Althuwayb, Ayman Abdulhadi and Hashim, Fazirulhisyam and Liew, Jiun Terng and Khan, Imran and Jeong, Woo Lee and Affum, Emmanuel Ampoma and Ouahabi, Abdeldjalil and Jacques, Sébastien (2021) A highly efficient algorithm for phased-array mmWave massive MIMO beamforming. Computers, Materials and Continua, 69 (1). 679 - 694. ISSN 1546-2218; ESSN; 1546-2226 https://www.techscience.com/cmc/v69n1/42724 10.32604/cmc.2021.015421 |
| spellingShingle | Althuwayb, Ayman Abdulhadi Hashim, Fazirulhisyam Liew, Jiun Terng Khan, Imran Jeong, Woo Lee Affum, Emmanuel Ampoma Ouahabi, Abdeldjalil Jacques, Sébastien A highly efficient algorithm for phased-array mmWave massive MIMO beamforming |
| title | A highly efficient algorithm for phased-array mmWave massive MIMO beamforming |
| title_full | A highly efficient algorithm for phased-array mmWave massive MIMO beamforming |
| title_fullStr | A highly efficient algorithm for phased-array mmWave massive MIMO beamforming |
| title_full_unstemmed | A highly efficient algorithm for phased-array mmWave massive MIMO beamforming |
| title_short | A highly efficient algorithm for phased-array mmWave massive MIMO beamforming |
| title_sort | highly efficient algorithm for phased array mmwave massive mimo beamforming |
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