Channel estimation for massive MIMO TDD systems assuming pilot contamination and flat fading
Abstract Channel estimation is crucial for massive massive multiple-input multiple-output (MIMO) systems to scale up multi-user (MU) MIMO, providing great improvement in spectral and energy efficiency. This paper presents a simple and practical channel estimator for multi-cell MU massive MIMO time d...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2018-01-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13638-018-1021-9 |
| _version_ | 1819058139419377664 |
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| author | Felipe A. P. de Figueiredo Fabbryccio A. C. M. Cardoso Ingrid Moerman Gustavo Fraidenraich |
| author_facet | Felipe A. P. de Figueiredo Fabbryccio A. C. M. Cardoso Ingrid Moerman Gustavo Fraidenraich |
| author_sort | Felipe A. P. de Figueiredo |
| collection | DOAJ |
| description | Abstract Channel estimation is crucial for massive massive multiple-input multiple-output (MIMO) systems to scale up multi-user (MU) MIMO, providing great improvement in spectral and energy efficiency. This paper presents a simple and practical channel estimator for multi-cell MU massive MIMO time division duplex (TDD) systems with pilot contamination in flat Rayleigh fading channels, i.e., the gains of the channels follow the Rayleigh distribution. We also assume uncorrelated antennas. The proposed estimator addresses performance under moderate to strong pilot contamination without previous knowledge of the cross-cell large-scale channel coefficients. This estimator performs asymptotically as well as the minimum mean square error (MMSE) estimator with respect to the number of antennas. An approximate analytical mean square error (MSE) expression is also derived for the proposed estimator. |
| first_indexed | 2024-12-21T13:50:27Z |
| format | Article |
| id | doaj.art-441c03c158fc46039301169ef6d35403 |
| institution | Directory Open Access Journal |
| issn | 1687-1499 |
| language | English |
| last_indexed | 2024-12-21T13:50:27Z |
| publishDate | 2018-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-441c03c158fc46039301169ef6d354032022-12-21T19:01:43ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992018-01-012018111010.1186/s13638-018-1021-9Channel estimation for massive MIMO TDD systems assuming pilot contamination and flat fadingFelipe A. P. de Figueiredo0Fabbryccio A. C. M. Cardoso1Ingrid Moerman2Gustavo Fraidenraich3Department of Information Technology, Ghent UniversityResearch and Development Center on Telecommunications, (CPqD)Department of Information Technology, Ghent UniversityDepartment of Communications, School of Electrical and Computer Engineering, University of CampinasAbstract Channel estimation is crucial for massive massive multiple-input multiple-output (MIMO) systems to scale up multi-user (MU) MIMO, providing great improvement in spectral and energy efficiency. This paper presents a simple and practical channel estimator for multi-cell MU massive MIMO time division duplex (TDD) systems with pilot contamination in flat Rayleigh fading channels, i.e., the gains of the channels follow the Rayleigh distribution. We also assume uncorrelated antennas. The proposed estimator addresses performance under moderate to strong pilot contamination without previous knowledge of the cross-cell large-scale channel coefficients. This estimator performs asymptotically as well as the minimum mean square error (MMSE) estimator with respect to the number of antennas. An approximate analytical mean square error (MSE) expression is also derived for the proposed estimator.http://link.springer.com/article/10.1186/s13638-018-1021-9Massive MU-MIMOChannel estimationFlat fadingPilot contaminationMaximum likelihood |
| spellingShingle | Felipe A. P. de Figueiredo Fabbryccio A. C. M. Cardoso Ingrid Moerman Gustavo Fraidenraich Channel estimation for massive MIMO TDD systems assuming pilot contamination and flat fading EURASIP Journal on Wireless Communications and Networking Massive MU-MIMO Channel estimation Flat fading Pilot contamination Maximum likelihood |
| title | Channel estimation for massive MIMO TDD systems assuming pilot contamination and flat fading |
| title_full | Channel estimation for massive MIMO TDD systems assuming pilot contamination and flat fading |
| title_fullStr | Channel estimation for massive MIMO TDD systems assuming pilot contamination and flat fading |
| title_full_unstemmed | Channel estimation for massive MIMO TDD systems assuming pilot contamination and flat fading |
| title_short | Channel estimation for massive MIMO TDD systems assuming pilot contamination and flat fading |
| title_sort | channel estimation for massive mimo tdd systems assuming pilot contamination and flat fading |
| topic | Massive MU-MIMO Channel estimation Flat fading Pilot contamination Maximum likelihood |
| url | http://link.springer.com/article/10.1186/s13638-018-1021-9 |
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