3D MIMO radio channel modeling of a weighted linear array system of antennas for 5G cellular systems

Cheng Xu; John Cosmas; Yue Zhang; Pavlos Lazaridis; Giuseppe Araniti; Zaharias D. Zaharis

doi:10.1109/TEMU.2016.7551912

3D MIMO radio channel modeling of a weighted linear array system of antennas for 5G cellular systems

Cheng Xu, John Cosmas, Yue Zhang, Pavlos Lazaridis, Giuseppe Araniti, Zaharias D. Zaharis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

This paper presents a methodology for parameterizing an antenna array for 5G cellular networks using a K-Mean genetic algorithm to identify a cluster of user terminals for SDMA (Space Division Multiple Access) and three modified propagation models (Hata, Cost 231 Hata and Stanford University Interim (SUI)) to determine SINR. The simulation results will show the design can derive the SINR for three different systems operating in different frequencies in two dimensions. This research lays the foundation to determine the optimal cluster size, LTE frame size to provide maximum transmission efficiency and SINR for user terminals in 3D MIMO networks system.

Original language	English
Title of host publication	2016 International Conference on Telecommunications and Multimedia
Subtitle of host publication	TEMU 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	36-41
Number of pages	6
ISBN (Electronic)	9781467384094
DOIs	https://doi.org/10.1109/TEMU.2016.7551912
Publication status	Published - 25 Aug 2016
Event	2016 International Conference on Telecommunications and Multimedia - Heraklion, Heraklion, Greece Duration: 25 Jul 2016 → 27 Jul 2016 http://www.temu.gr/

Conference

Conference	2016 International Conference on Telecommunications and Multimedia
Abbreviated title	TEMU 2016
Country/Territory	Greece
City	Heraklion
Period	25/07/16 → 27/07/16
Internet address	http://www.temu.gr/

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10.1109/TEMU.2016.7551912Licence: Other

Cite this

Xu, C., Cosmas, J., Zhang, Y., Lazaridis, P., Araniti, G., & Zaharis, Z. D. (2016). 3D MIMO radio channel modeling of a weighted linear array system of antennas for 5G cellular systems. In 2016 International Conference on Telecommunications and Multimedia: TEMU 2016 (pp. 36-41). [7551912] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TEMU.2016.7551912

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title = "3D MIMO radio channel modeling of a weighted linear array system of antennas for 5G cellular systems",

abstract = "This paper presents a methodology for parameterizing an antenna array for 5G cellular networks using a K-Mean genetic algorithm to identify a cluster of user terminals for SDMA (Space Division Multiple Access) and three modified propagation models (Hata, Cost 231 Hata and Stanford University Interim (SUI)) to determine SINR. The simulation results will show the design can derive the SINR for three different systems operating in different frequencies in two dimensions. This research lays the foundation to determine the optimal cluster size, LTE frame size to provide maximum transmission efficiency and SINR for user terminals in 3D MIMO networks system.",

keywords = "3D MIMO, Maximum Throughput, SINR, Weighting",

author = "Cheng Xu and John Cosmas and Yue Zhang and Pavlos Lazaridis and Giuseppe Araniti and Zaharis, {Zaharias D.}",

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doi = "10.1109/TEMU.2016.7551912",

language = "English",

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Xu, C, Cosmas, J, Zhang, Y, Lazaridis, P, Araniti, G & Zaharis, ZD 2016, 3D MIMO radio channel modeling of a weighted linear array system of antennas for 5G cellular systems. in 2016 International Conference on Telecommunications and Multimedia: TEMU 2016., 7551912, Institute of Electrical and Electronics Engineers Inc., pp. 36-41, 2016 International Conference on Telecommunications and Multimedia, Heraklion, Greece, 25/07/16. https://doi.org/10.1109/TEMU.2016.7551912

3D MIMO radio channel modeling of a weighted linear array system of antennas for 5G cellular systems. / Xu, Cheng; Cosmas, John; Zhang, Yue et al.

2016 International Conference on Telecommunications and Multimedia: TEMU 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 36-41 7551912.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Xu, Cheng

AU - Cosmas, John

AU - Zhang, Yue

AU - Lazaridis, Pavlos

AU - Araniti, Giuseppe

AU - Zaharis, Zaharias D.

N1 - No record of this in Eprints. Has an ISBN. HN 24/10/2017

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N2 - This paper presents a methodology for parameterizing an antenna array for 5G cellular networks using a K-Mean genetic algorithm to identify a cluster of user terminals for SDMA (Space Division Multiple Access) and three modified propagation models (Hata, Cost 231 Hata and Stanford University Interim (SUI)) to determine SINR. The simulation results will show the design can derive the SINR for three different systems operating in different frequencies in two dimensions. This research lays the foundation to determine the optimal cluster size, LTE frame size to provide maximum transmission efficiency and SINR for user terminals in 3D MIMO networks system.

AB - This paper presents a methodology for parameterizing an antenna array for 5G cellular networks using a K-Mean genetic algorithm to identify a cluster of user terminals for SDMA (Space Division Multiple Access) and three modified propagation models (Hata, Cost 231 Hata and Stanford University Interim (SUI)) to determine SINR. The simulation results will show the design can derive the SINR for three different systems operating in different frequencies in two dimensions. This research lays the foundation to determine the optimal cluster size, LTE frame size to provide maximum transmission efficiency and SINR for user terminals in 3D MIMO networks system.

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3D MIMO radio channel modeling of a weighted linear array system of antennas for 5G cellular systems

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