Performance analysis of inter-cell interference reduction using AOA-based beamforming in Mm wave massive MIMO systems

Ehab Ali, Mahamod Ismail, Rosdiadee Nordin, Fadzilah Abdulah, M. H. Mazlan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Millimeter Wave Massive MIMO is considered as one of the main features in the upcoming fifth generation (5G) systems. Inter-cell interference which is represented by pilot contamination in Massive MIMO is less critical at mm wave frequencies due to mm waves' characteristics, however it still has side effects on such system, which cannot be ignored. In this paper, we focus on pilot contamination effects by analyzing the uplink transmission for the mm wave Massive MIMO system that employing hundreds of antenna arrays at Base Station (BS) and multiple antennas at each Mobile Station (MS). Through the uplink training, the channel estimation is used to detect the signals transmitted from a plurality of MSs in their respective cell. By taking the correlation between the channel estimate and the interference from other cells, which is represented as pilot contamination interference into consideration, we propose a 2D-unitary estimation of the signal parameters through rotational invariance techniques (U-ESPRIT) algorithm that utilizes the steering vectors of the uniform rectangular array (URA) to form a basis of the spatial space that can distinguish the desired signal from interfered signal without any change of pilot construction of training signals. The partial space for hybrid beamforming is being selected in accordance with Angle of Arrival (AOA) information, to improve the received average sum rate in the cell. We derive an analytical approximations of the exact and lower bound on the achievable rate. Consequently, the system performance has been evaluated numerically. Simulation results show that our proposal achieved low computational complexity and can achieve better performance in mitigating the majority of inter-cell interference and outperform other prominent techniques that are based on pilot identity only.

Original languageEnglish
Title of host publication2017 IEEE 13th Malaysia International Conference on Communications, MICC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages235-240
Number of pages6
Volume2017-November
ISBN (Electronic)9781538631324
DOIs
Publication statusPublished - 9 Mar 2018
Event13th IEEE Malaysia International Conference on Communications, MICC 2017 - Johor Bahru, Johor, Malaysia
Duration: 28 Nov 201730 Nov 2017

Other

Other13th IEEE Malaysia International Conference on Communications, MICC 2017
CountryMalaysia
CityJohor Bahru, Johor
Period28/11/1730/11/17

Fingerprint

MIMO (control systems)
beamforming
Beamforming
MIMO systems
arrivals
Contamination
interference
cells
contamination
Channel estimation
Invariance
Antenna arrays
Millimeter waves
education
Base stations
stations
Computational complexity
Antennas
antenna arrays
millimeter waves

ASJC Scopus subject areas

  • Instrumentation
  • Computer Networks and Communications
  • Information Systems and Management

Cite this

Ali, E., Ismail, M., Nordin, R., Abdulah, F., & Mazlan, M. H. (2018). Performance analysis of inter-cell interference reduction using AOA-based beamforming in Mm wave massive MIMO systems. In 2017 IEEE 13th Malaysia International Conference on Communications, MICC 2017 (Vol. 2017-November, pp. 235-240). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MICC.2017.8311765

Performance analysis of inter-cell interference reduction using AOA-based beamforming in Mm wave massive MIMO systems. / Ali, Ehab; Ismail, Mahamod; Nordin, Rosdiadee; Abdulah, Fadzilah; Mazlan, M. H.

2017 IEEE 13th Malaysia International Conference on Communications, MICC 2017. Vol. 2017-November Institute of Electrical and Electronics Engineers Inc., 2018. p. 235-240.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ali, E, Ismail, M, Nordin, R, Abdulah, F & Mazlan, MH 2018, Performance analysis of inter-cell interference reduction using AOA-based beamforming in Mm wave massive MIMO systems. in 2017 IEEE 13th Malaysia International Conference on Communications, MICC 2017. vol. 2017-November, Institute of Electrical and Electronics Engineers Inc., pp. 235-240, 13th IEEE Malaysia International Conference on Communications, MICC 2017, Johor Bahru, Johor, Malaysia, 28/11/17. https://doi.org/10.1109/MICC.2017.8311765
Ali E, Ismail M, Nordin R, Abdulah F, Mazlan MH. Performance analysis of inter-cell interference reduction using AOA-based beamforming in Mm wave massive MIMO systems. In 2017 IEEE 13th Malaysia International Conference on Communications, MICC 2017. Vol. 2017-November. Institute of Electrical and Electronics Engineers Inc. 2018. p. 235-240 https://doi.org/10.1109/MICC.2017.8311765
Ali, Ehab ; Ismail, Mahamod ; Nordin, Rosdiadee ; Abdulah, Fadzilah ; Mazlan, M. H. / Performance analysis of inter-cell interference reduction using AOA-based beamforming in Mm wave massive MIMO systems. 2017 IEEE 13th Malaysia International Conference on Communications, MICC 2017. Vol. 2017-November Institute of Electrical and Electronics Engineers Inc., 2018. pp. 235-240
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