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

Osama Alluhaibi, Qasim Zeeshan Ahmed, Cunhua Pan, Huiling Zhu

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

11 Citations (Scopus)

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.
LanguageEnglish
Title of host publication2016 IEEE Global Communications Conference (GLOBECOM)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781509013289
DOIs
Publication statusPublished - 6 Feb 2017
Externally publishedYes
Event2016 IEEE Global Communications Conference - Washington, United States
Duration: 4 Dec 20168 Dec 2016
http://globecom2016.ieee-globecom.org/ (Link to Conference Website )

Conference

Conference2016 IEEE Global Communications Conference
Abbreviated titleGLOBECOM
CountryUnited States
CityWashington
Period4/12/168/12/16
Internet address

Fingerprint

Beamforming
Millimeter waves
Particle swarm optimization (PSO)

Cite this

Alluhaibi, O., Ahmed, Q. Z., Pan, C., & Zhu, H. (2017). Capacity Maximisation for Hybrid Digital-to-Analog Beamforming mm-Wave Systems. In 2016 IEEE Global Communications Conference (GLOBECOM) Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2016.7841649
Alluhaibi, Osama ; Ahmed, Qasim Zeeshan ; Pan, Cunhua ; Zhu, Huiling. / Capacity Maximisation for Hybrid Digital-to-Analog Beamforming mm-Wave Systems. 2016 IEEE Global Communications Conference (GLOBECOM). Institute of Electrical and Electronics Engineers Inc., 2017.
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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.",
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Alluhaibi, O, Ahmed, QZ, Pan, C & Zhu, H 2017, Capacity Maximisation for Hybrid Digital-to-Analog Beamforming mm-Wave Systems. in 2016 IEEE Global Communications Conference (GLOBECOM). Institute of Electrical and Electronics Engineers Inc., 2016 IEEE Global Communications Conference, Washington, United States, 4/12/16. https://doi.org/10.1109/GLOCOM.2016.7841649

Capacity Maximisation for Hybrid Digital-to-Analog Beamforming mm-Wave Systems. / Alluhaibi, Osama; Ahmed, Qasim Zeeshan; Pan, Cunhua; Zhu, Huiling.

2016 IEEE Global Communications Conference (GLOBECOM). Institute of Electrical and Electronics Engineers Inc., 2017.

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

TY - GEN

T1 - Capacity Maximisation for Hybrid Digital-to-Analog Beamforming mm-Wave Systems

AU - Alluhaibi, Osama

AU - Ahmed, Qasim Zeeshan

AU - Pan, Cunhua

AU - Zhu, Huiling

PY - 2017/2/6

Y1 - 2017/2/6

N2 - 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.

AB - 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.

KW - beamforming

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KW - millimetre wave

KW - optimisation

KW - particle swarm optimisation (PSO)

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Alluhaibi O, Ahmed QZ, Pan C, Zhu H. Capacity Maximisation for Hybrid Digital-to-Analog Beamforming mm-Wave Systems. In 2016 IEEE Global Communications Conference (GLOBECOM). Institute of Electrical and Electronics Engineers Inc. 2017 https://doi.org/10.1109/GLOCOM.2016.7841649