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3D Beamforming for 5G Millimeter Wave Systems Using Singular Value Decomposition and Particle Swarm Optimization Approaches

Alluhaibi, Osama, Nair, Manish, Hazzaa, Amjed, Mihbarey, Aza, Wang, Jiangzhou (2018) 3D Beamforming for 5G Millimeter Wave Systems Using Singular Value Decomposition and Particle Swarm Optimization Approaches. In: 2018 International Conference on Information and Communication Technology Convergence (ICTC). . pp. 15-19. IEEE, USA ISBN 978-1-5386-5042-4. E-ISBN 978-1-5386-5041-7. (doi:10.1109/ICTC.2018.8539578) (KAR id:71373)

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https://doi.org/10.1109/ICTC.2018.8539578

Abstract

Millimeter wave (mmWave) systems are one of the

However, mmWave system experiences strong path loss due to

a narrow beampattern to reduce the loss of the mmWave signal

to be addressed before their deployment is designing three dimensional

directional. In this paper, we first propose two 3D beamforming

elevation planes. Our proposed beamforming algorithms operates

particle swarm optimization (PSO). Furthermore, these beamforming

lobes, which cause less interference to the other users operating

(KB) filter is adopted which helps in mitigating side lobes in the

valuable insights. The proposed algorithms are shown to perform

well in achieving considerable capacity and lower side lobs.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/ICTC.2018.8539578
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: M. Nair
Date Deposited: 20 Dec 2018 11:40 UTC
Last Modified: 16 Feb 2021 14:01 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/71373 (The current URI for this page, for reference purposes)
Nair, Manish: https://orcid.org/0000-0001-7151-8913
Wang, Jiangzhou: https://orcid.org/0000-0003-0881-3594
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