Abstract
This paper proposes a new method based on a 2D Angle of Arrival (2D-AOA) estimation that employs 3D beamforming to eliminate the effect of interference in a Massive MIMO (M-MIMO) system. The interferences are the results of pilot contamination and spatial overlapping from nearby users. High resolution Azimuth and Elevation angles of the detected signals from Uniform Rectangular Array (URA) are used to separate the desired signal from the interfering ones without causing any change in the pilot construction of training signals. Additionally, tilt angle adaptation is employed at the base station to maximize the spectral efficiency of multi-cell M- MIMO. The performance of the proposed method is evaluated and compared with that of the conventional methods of 2D beamforming in terms of achievable sum rate. Results of the simulation demonstrate that the 3D beamforming achieved a 55% sum rate gain due to the elimination of both pilot contamination and spatial overlapping in comparison to the 24% sum rate gain achieved via the 2D beamforming method which only eliminates pilot contamination. This shows the potential of the proposed method in eliminating a large proportion of cell interference.
| Original language | English |
|---|---|
| Title of host publication | 2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728112176 |
| DOIs | |
| Publication status | Published - 1 Apr 2019 |
| Event | 89th IEEE Vehicular Technology Conference, VTC Spring 2019 - Kuala Lumpur, Malaysia Duration: 28 Apr 2019 → 1 May 2019 |
Publication series
| Name | IEEE Vehicular Technology Conference |
|---|---|
| Volume | 2019-April |
| ISSN (Print) | 1550-2252 |
Conference
| Conference | 89th IEEE Vehicular Technology Conference, VTC Spring 2019 |
|---|---|
| Country | Malaysia |
| City | Kuala Lumpur |
| Period | 28/4/19 → 1/5/19 |
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Keywords
- 2D Angle of Arrival
- 2D-Fourier Domain Line Search MUSIC
- 3D Beamforming
- Dynamic tilt angle
- Massive MIMO
ASJC Scopus subject areas
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics
Cite this
2D-AOA estimation and tilt angle adaptation for 3d beamforming interference reduction in massive MIMO. / Ali, Ehab; Abdullah, Nor Fadzilah; Ismail, Mahamod; Nordin, Rosdiadee; Mahzan, M. H.; Balfaqih, Mohammed.
2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8746523 (IEEE Vehicular Technology Conference; Vol. 2019-April).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - 2D-AOA estimation and tilt angle adaptation for 3d beamforming interference reduction in massive MIMO
AU - Ali, Ehab
AU - Abdullah, Nor Fadzilah
AU - Ismail, Mahamod
AU - Nordin, Rosdiadee
AU - Mahzan, M. H.
AU - Balfaqih, Mohammed
PY - 2019/4/1
Y1 - 2019/4/1
N2 - This paper proposes a new method based on a 2D Angle of Arrival (2D-AOA) estimation that employs 3D beamforming to eliminate the effect of interference in a Massive MIMO (M-MIMO) system. The interferences are the results of pilot contamination and spatial overlapping from nearby users. High resolution Azimuth and Elevation angles of the detected signals from Uniform Rectangular Array (URA) are used to separate the desired signal from the interfering ones without causing any change in the pilot construction of training signals. Additionally, tilt angle adaptation is employed at the base station to maximize the spectral efficiency of multi-cell M- MIMO. The performance of the proposed method is evaluated and compared with that of the conventional methods of 2D beamforming in terms of achievable sum rate. Results of the simulation demonstrate that the 3D beamforming achieved a 55% sum rate gain due to the elimination of both pilot contamination and spatial overlapping in comparison to the 24% sum rate gain achieved via the 2D beamforming method which only eliminates pilot contamination. This shows the potential of the proposed method in eliminating a large proportion of cell interference.
AB - This paper proposes a new method based on a 2D Angle of Arrival (2D-AOA) estimation that employs 3D beamforming to eliminate the effect of interference in a Massive MIMO (M-MIMO) system. The interferences are the results of pilot contamination and spatial overlapping from nearby users. High resolution Azimuth and Elevation angles of the detected signals from Uniform Rectangular Array (URA) are used to separate the desired signal from the interfering ones without causing any change in the pilot construction of training signals. Additionally, tilt angle adaptation is employed at the base station to maximize the spectral efficiency of multi-cell M- MIMO. The performance of the proposed method is evaluated and compared with that of the conventional methods of 2D beamforming in terms of achievable sum rate. Results of the simulation demonstrate that the 3D beamforming achieved a 55% sum rate gain due to the elimination of both pilot contamination and spatial overlapping in comparison to the 24% sum rate gain achieved via the 2D beamforming method which only eliminates pilot contamination. This shows the potential of the proposed method in eliminating a large proportion of cell interference.
KW - 2D Angle of Arrival
KW - 2D-Fourier Domain Line Search MUSIC
KW - 3D Beamforming
KW - Dynamic tilt angle
KW - Massive MIMO
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U2 - 10.1109/VTCSpring.2019.8746523
DO - 10.1109/VTCSpring.2019.8746523
M3 - Conference contribution
T3 - IEEE Vehicular Technology Conference
BT - 2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -