Cell Partitioning Antenna System Performance in Multi-User Scenarios for mmWave Communications
Journal article, 2021

Fixed-beam, high-gain antenna systems can be used for a finer partitioning of the currently used cell-sectoring. This partitioning has the benefit of reducing the number of users seen per antenna beam, which reduces interference. Furthermore, the high antenna gain allows for a high effective isotropic radiated power while keeping the transmit power low. In this paper, we study the performance of such a fixed-beam, high gain antenna system design for millimeter-wave mobile communications. The antenna system is designed to keep the inter-sector interference in a multi-site scenario low. The performance is analyzed for single- and multi-user environments. In single-input single-output mode, the 50th percentile of the signal-to-interference-plus-noise ratio lies between 12.5 dB to 39.7 dB if 3 to 0 interferers are present, respectively. For multiple-input multiple-output transmission using zero-forcing, the signal-to-interference-plus-noise ratio increases and the 50th percentile ranges from 36.1 dB to 43.3 dB if 3 to 0 interferes are present, respectively. By using maximum ratio transmission, the best performance is achieved with no interferers present, while a plunge in performance is observed with interferers. Furthermore, the study revealed that the narrow beam antenna system can also provide a clear signal separation for small spatial separations. In the given example, the signal-to-interference-plus-noise ratio is larger than 32.1 dB with 11 active antenna elements, where 2.8 meters separate the users. Hence, the paper shows that the cell-partitioning antenna systems provide coverage in the desired area while keeping the inter-sector interference low, and the considered transmission techniques can be used for situation optimized mobile communication links.

antenna array



base stations

aperture antennas

5G mobile communication


Thomas A.H. Bressner

Eindhoven University of Technology

Amr Elsakka

Eindhoven University of Technology

A. Farsaei

Eindhoven University of Technology

Martin Johansson


Oleg Iupikov

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Rob Maaskant

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

A. Bart Smolders

Eindhoven University of Technology

U. Johannsen

Eindhoven University of Technology

IEEE Access

2169-3536 (ISSN) 21693536 (eISSN)

Vol. 9 127141-127149

Subject Categories


Communication Systems

Signal Processing



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