An Improved Multicell MMSE Channel Estimation in a Massive MIMO System
Massive MIMO is a promising technology to improve both the spectrum efficiency and the energy efficiency. The key problem that impacts the throughput of a massive MIMO system is the pilot contamination due to the nonorthogonality of the pilot sequences in different cells. Conventional channel estima...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2014/387436 |
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| author | Ke Li Xiaoqin Song M. Omair Ahmad M. N. S. Swamy |
| author_facet | Ke Li Xiaoqin Song M. Omair Ahmad M. N. S. Swamy |
| author_sort | Ke Li |
| collection | DOAJ |
| description | Massive MIMO is a promising technology to improve both the spectrum efficiency and the energy efficiency. The key problem that impacts the throughput of a massive MIMO system is the pilot contamination due to the nonorthogonality of the pilot sequences in different cells. Conventional channel estimation schemes cannot mitigate this problem effectively, and the computational complexity is increasingly becoming larger in views of the large number of antennas employed in a massive MIMO system. Furthermore, the channel estimation is always carried out with some ideal assumptions such as the complete knowledge of large-scale fading. In this paper, a new channel estimation scheme is proposed by utilizing interference cancellation and joint processing. Highly interfering users in neighboring cells are identified based on the estimation of large-scale fading and then included in the joint channel processing; this achieves a compromise between the effectiveness and efficiency of the channel estimation at a reasonable computational cost, and leads to an improvement in the overall system performance. Simulation results are provided to demonstrate the effectiveness of the proposed scheme. |
| format | Article |
| id | doaj-art-d53e048855754b599a9f0faebd4522ab |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-d53e048855754b599a9f0faebd4522ab2025-02-03T06:11:08ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772014-01-01201410.1155/2014/387436387436An Improved Multicell MMSE Channel Estimation in a Massive MIMO SystemKe Li0Xiaoqin Song1M. Omair Ahmad2M. N. S. Swamy3College of Information Technology, Beijing Union University, Beijing 100010, ChinaCollege of Electronics and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaDepartment of Electrical and Computer Engineering, Concordia University, Montreal, QC, H3G IM8, CanadaDepartment of Electrical and Computer Engineering, Concordia University, Montreal, QC, H3G IM8, CanadaMassive MIMO is a promising technology to improve both the spectrum efficiency and the energy efficiency. The key problem that impacts the throughput of a massive MIMO system is the pilot contamination due to the nonorthogonality of the pilot sequences in different cells. Conventional channel estimation schemes cannot mitigate this problem effectively, and the computational complexity is increasingly becoming larger in views of the large number of antennas employed in a massive MIMO system. Furthermore, the channel estimation is always carried out with some ideal assumptions such as the complete knowledge of large-scale fading. In this paper, a new channel estimation scheme is proposed by utilizing interference cancellation and joint processing. Highly interfering users in neighboring cells are identified based on the estimation of large-scale fading and then included in the joint channel processing; this achieves a compromise between the effectiveness and efficiency of the channel estimation at a reasonable computational cost, and leads to an improvement in the overall system performance. Simulation results are provided to demonstrate the effectiveness of the proposed scheme.http://dx.doi.org/10.1155/2014/387436 |
| spellingShingle | Ke Li Xiaoqin Song M. Omair Ahmad M. N. S. Swamy An Improved Multicell MMSE Channel Estimation in a Massive MIMO System International Journal of Antennas and Propagation |
| title | An Improved Multicell MMSE Channel Estimation in a Massive MIMO System |
| title_full | An Improved Multicell MMSE Channel Estimation in a Massive MIMO System |
| title_fullStr | An Improved Multicell MMSE Channel Estimation in a Massive MIMO System |
| title_full_unstemmed | An Improved Multicell MMSE Channel Estimation in a Massive MIMO System |
| title_short | An Improved Multicell MMSE Channel Estimation in a Massive MIMO System |
| title_sort | improved multicell mmse channel estimation in a massive mimo system |
| url | http://dx.doi.org/10.1155/2014/387436 |
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