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

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

doi:10.1109/GLOCOM.2016.7841649

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 proceeding › Conference contribution › peer-review

21 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.

Original language	English
Title of host publication	2016 IEEE Global Communications Conference (GLOBECOM)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	6
ISBN (Electronic)	9781509013289
DOIs	https://doi.org/10.1109/GLOCOM.2016.7841649
Publication status	Published - 6 Feb 2017
Externally published	Yes
Event	2016 IEEE Global Communications Conference - Washington, United States Duration: 4 Dec 2016 → 8 Dec 2016 http://globecom2016.ieee-globecom.org/ (Link to Conference Website )

Conference

Conference	2016 IEEE Global Communications Conference
Abbreviated title	GLOBECOM
Country/Territory	United States
City	Washington
Period	4/12/16 → 8/12/16
Internet address	http://globecom2016.ieee-globecom.org/ (Link to Conference Website )

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Cite this

@inproceedings{4ae3ecf593cf44e8bcfbc7100d7562c5,

title = "Capacity Maximisation for Hybrid Digital-to-Analog Beamforming mm-Wave Systems",

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.",

keywords = "beamforming, hybrid beamforming, millimetre wave, optimisation, particle swarm optimisation (PSO)",

author = "Osama Alluhaibi and Ahmed, {Qasim Zeeshan} and Cunhua Pan and Huiling Zhu",

year = "2017",

month = feb,

day = "6",

doi = "10.1109/GLOCOM.2016.7841649",

language = "English",

booktitle = "2016 IEEE Global Communications Conference (GLOBECOM)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2016 IEEE Global Communications Conference, GLOBECOM ; Conference date: 04-12-2016 Through 08-12-2016",

url = "http://globecom2016.ieee-globecom.org/",

}

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, District of Columbia, United States, 4/12/16. https://doi.org/10.1109/GLOCOM.2016.7841649

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

KW - hybrid beamforming

KW - millimetre wave

KW - optimisation

KW - particle swarm optimisation (PSO)

U2 - 10.1109/GLOCOM.2016.7841649

DO - 10.1109/GLOCOM.2016.7841649

M3 - Conference contribution

BT - 2016 IEEE Global Communications Conference (GLOBECOM)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 IEEE Global Communications Conference

Y2 - 4 December 2016 through 8 December 2016

ER -

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

Abstract

Conference

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