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 proceedingConference contribution

1 Citation (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.

LanguageEnglish
Title of host publication2016 International Conference on Telecommunications and Multimedia
Subtitle of host publicationTEMU 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages36-41
Number of pages6
ISBN (Electronic)9781467384094
DOIs
Publication statusE-pub ahead of print - 25 Aug 2016
Event2016 International Conference on Telecommunications and Multimedia - Heraklion, Crete, Greece
Duration: 25 Jul 201627 Jul 2016
http://www.temu.gr/ (Link to Conference Website )

Conference

Conference2016 International Conference on Telecommunications and Multimedia
Abbreviated titleTEMU 2016
CountryGreece
CityCrete
Period25/07/1627/07/16
Internet address

Fingerprint

Space division multiple access
Antenna arrays
MIMO systems
Genetic algorithms
Antennas
Costs

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
Xu, Cheng ; Cosmas, John ; Zhang, Yue ; Lazaridis, Pavlos ; Araniti, Giuseppe ; Zaharis, Zaharias D. / 3D MIMO radio channel modeling of a weighted linear array system of antennas for 5G cellular systems. 2016 International Conference on Telecommunications and Multimedia: TEMU 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 36-41
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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.",
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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, Crete, 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; Lazaridis, Pavlos; Araniti, Giuseppe; Zaharis, Zaharias D.

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 proceedingConference contribution

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AU - Lazaridis, Pavlos

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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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Xu C, Cosmas J, Zhang Y, Lazaridis P, Araniti G, Zaharis ZD. 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. Institute of Electrical and Electronics Engineers Inc. 2016. p. 36-41. 7551912 https://doi.org/10.1109/TEMU.2016.7551912