Power Model for Heterogeneous Cloud Radio Access Networks

R. S. Alhumaima; M. Khan; H. S. Al-Raweshidy

doi:10.1109/DSDIS.2015.10

Power Model for Heterogeneous Cloud Radio Access Networks

R. S. Alhumaima
, M. Khan
, H. S. Al-Raweshidy

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

7 Citations (Scopus)

Abstract

The cellular network performance is measured by its spectral and energy efficiency. Since the power consumption is an important key success for the upcoming heterogeneous (HetNet) communication system generations, component, linear, and parameterized power models are presented in this paper. The proposed models analyse and evaluate the power consumption participants in both Cloud Radio Access Network (C-RAN) and High Power Nodes (HPNs), collectively called Heterogeneous-Cloud Radio Access Network (H-CRAN), which is proposed to enhance both energy and spectral efficiencies. Comparison of the cooling and total power consumption of C-RAN, Macro Base Station (MBS), and H-CRAN deployment is presented. Results showed that a C-RAN network reduced the cooling power consumption to about 87%, which reduced the overall power consumption by about 40% compared to MBS deployment. Finally, H-CRAN cooling and total power consumption is evaluated by integrating C-RAN and MBS power consumption models.

Original language	English
Title of host publication	Proceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015
Editors	Laurence T. Yang, Jinjun Chen
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	260-267
Number of pages	8
ISBN (Electronic)	9781509002146
DOIs	https://doi.org/10.1109/DSDIS.2015.10
Publication status	Published - 2015
Externally published	Yes
Event	2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015 - Sydney, Australia Duration: Dec 11 2015 → Dec 13 2015

Publication series

Name	Proceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015

Conference

Conference	2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015
Country/Territory	Australia
City	Sydney
Period	12/11/15 → 12/13/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

5G
Cloud Radio Access Network (C-RAN)
Heterogeneous Networks (HetNets)
power model

ASJC Scopus subject areas

Computational Theory and Mathematics
Theoretical Computer Science
Computer Networks and Communications

Access to Document

10.1109/DSDIS.2015.10

Cite this

Alhumaima, R. S., Khan, M., & Al-Raweshidy, H. S. (2015). Power Model for Heterogeneous Cloud Radio Access Networks. In L. T. Yang, & J. Chen (Eds.), Proceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015 (pp. 260-267). Article 7396512 (Proceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DSDIS.2015.10

Power Model for Heterogeneous Cloud Radio Access Networks. / Alhumaima, R. S.; Khan, M.; Al-Raweshidy, H. S.
Proceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015. ed. / Laurence T. Yang; Jinjun Chen. Institute of Electrical and Electronics Engineers Inc., 2015. p. 260-267 7396512 (Proceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015).

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

Alhumaima, RS, Khan, M & Al-Raweshidy, HS 2015, Power Model for Heterogeneous Cloud Radio Access Networks. in LT Yang & J Chen (eds), Proceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015., 7396512, Proceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015, Institute of Electrical and Electronics Engineers Inc., pp. 260-267, 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015, Sydney, Australia, 12/11/15. https://doi.org/10.1109/DSDIS.2015.10

Alhumaima RS, Khan M, Al-Raweshidy HS. Power Model for Heterogeneous Cloud Radio Access Networks. In Yang LT, Chen J, editors, Proceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 260-267. 7396512. (Proceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015). doi: 10.1109/DSDIS.2015.10

Alhumaima, R. S. ; Khan, M. ; Al-Raweshidy, H. S. / Power Model for Heterogeneous Cloud Radio Access Networks. Proceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015. editor / Laurence T. Yang ; Jinjun Chen. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 260-267 (Proceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015).

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AB - The cellular network performance is measured by its spectral and energy efficiency. Since the power consumption is an important key success for the upcoming heterogeneous (HetNet) communication system generations, component, linear, and parameterized power models are presented in this paper. The proposed models analyse and evaluate the power consumption participants in both Cloud Radio Access Network (C-RAN) and High Power Nodes (HPNs), collectively called Heterogeneous-Cloud Radio Access Network (H-CRAN), which is proposed to enhance both energy and spectral efficiencies. Comparison of the cooling and total power consumption of C-RAN, Macro Base Station (MBS), and H-CRAN deployment is presented. Results showed that a C-RAN network reduced the cooling power consumption to about 87%, which reduced the overall power consumption by about 40% compared to MBS deployment. Finally, H-CRAN cooling and total power consumption is evaluated by integrating C-RAN and MBS power consumption models.

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Power Model for Heterogeneous Cloud Radio Access Networks

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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