Capacity Maximisation for Hybrid Digital-to-Analog Beamforming mm-Wave Systems

Alluhaibi, Osama, Ahmed, Qasim Zeeshan, Pan, Cunhua, Zhu, Huiling (2017) Capacity Maximisation for Hybrid Digital-to-Analog Beamforming mm-Wave Systems. In: IEEE Global Communications Conference (GLOBECOM) 2016. 2016 IEEE Global Communications Conference (GLOBECOM). . IEEE ISBN 978-1-5090-1329-6. E-ISBN 978-1-5090-1328-9. (doi:10.1109/GLOCOM.2016.7841649) (KAR id:60363)

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Official URL: http://dx.doi.org/10.1109/GLOCOM.2016.7841649
Additional URLs: http://globecom2016.ieee-globecom.org/

Abstract

Millimetre waves (mm-Waves) with massive multiple input and multiple output (MIMO) have the potential to fulfill fifth generation (5G) traffic demands. In this paper, a hybrid digital-to-analog (D-A) precoding system is investigated and a particle swarm optimisation (PSO) based joint D-A precoding optimisation algorithm is proposed. This algorithm maximises the capacity of the hybrid D-A mm-Wave massive MIMO system. The proposed algorithm is compared with three known hybrid D-A precoding algorithms. The analytical and simulation results show that the proposed algorithm achieves higher capacity than the existing hybrid D-A precoding algorithms.

Item Type:	Conference or workshop item (Proceeding)
DOI/Identification number:	10.1109/GLOCOM.2016.7841649
Uncontrolled keywords:	Beamforming, hybrid beamforming, optimisation, particle swarm optimisation (PSO), Millimetre wave
Subjects:	T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK5101 Telecommunications > TK5103.4 Broadband communication systems
Institutional Unit:	Schools > School of Engineering, Mathematics and Physics > Engineering
Former Institutional Unit:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User:	Huiling Zhu
Date Deposited:	14 Feb 2017 21:37 UTC
Last Modified:	20 May 2025 10:41 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/60363 (The current URI for this page, for reference purposes)

University of Kent Author Information

Alluhaibi, Osama.

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Ahmed, Qasim Zeeshan.

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Pan, Cunhua.

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Zhu, Huiling.

Creator's ORCID:	https://orcid.org/0000-0003-3021-5013
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