Integrating energy efficiency analysis of massive MIMO-based C-RAN.

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Title: Integrating energy efficiency analysis of massive MIMO-based C-RAN.
Authors: Zhang, Di1 di_zhang@fuji.waseda.jp, Tariq, Muhammad2 mtariq@princeton.edu, Mumtaz, Shahid3 smumtaz@av.it.pt, Rodriguez, Jonathan3 jonathan@av.it.pt, Sato, Takuro1 t-sato@waseda.jp
Source: EURASIP Journal on Wireless Communications & Networking. 12/16/2016, Vol. 2016 Issue 1, p1-9. 9p.
Subjects: Radio access networks, Performance of MIMO systems, Energy consumption, Mathematical models, Mathematical optimization, Power amplifiers
Abstract: Besides the prior study of energy efficiency (EE) that focuses on single component (antenna, radio frequency (RF) chain, circuit, etc.), or limited to one base station (BS) area, in this paper, EE is integrated, investigated with various components (antenna, RF chain, circuit, coverage area) considering in, based on an optimized system model. That is, one optimized multi-BS system model is introduced beforehand with the cloud radio access network (C-RAN) for easier deployment of the selecting/sleeping mechanism. In addition, the system EE is described by an optimization problem while taking more component factors into consideration. While solving, this integrated optimization problem in all time intervals of all BS areas is proved to be equal to an optimization problem of each single BS area within each single time interval. After that, the integrated optimization solution is obtained while adding up the single-BS-single-interval optimization solutions, whereas the later solution is addressed by an offline decision method plus a convex optimization strategy. Observation from the numerical results demonstrates that the antenna power consumption is the dominant factor of the power consumption, which therefore, the dominant factor of EE performance. [ABSTRACT FROM AUTHOR]
Copyright of EURASIP Journal on Wireless Communications & Networking is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
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  Data: Integrating energy efficiency analysis of massive MIMO-based C-RAN.
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  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Di%22">Zhang, Di</searchLink><relatesTo>1</relatesTo><i> di_zhang@fuji.waseda.jp</i><br /><searchLink fieldCode="AR" term="%22Tariq%2C+Muhammad%22">Tariq, Muhammad</searchLink><relatesTo>2</relatesTo><i> mtariq@princeton.edu</i><br /><searchLink fieldCode="AR" term="%22Mumtaz%2C+Shahid%22">Mumtaz, Shahid</searchLink><relatesTo>3</relatesTo><i> smumtaz@av.it.pt</i><br /><searchLink fieldCode="AR" term="%22Rodriguez%2C+Jonathan%22">Rodriguez, Jonathan</searchLink><relatesTo>3</relatesTo><i> jonathan@av.it.pt</i><br /><searchLink fieldCode="AR" term="%22Sato%2C+Takuro%22">Sato, Takuro</searchLink><relatesTo>1</relatesTo><i> t-sato@waseda.jp</i>
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  Data: <searchLink fieldCode="DE" term="%22Radio+access+networks%22">Radio access networks</searchLink><br /><searchLink fieldCode="DE" term="%22Performance+of+MIMO+systems%22">Performance of MIMO systems</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Power+amplifiers%22">Power amplifiers</searchLink>
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  Label: Abstract
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  Data: Besides the prior study of energy efficiency (EE) that focuses on single component (antenna, radio frequency (RF) chain, circuit, etc.), or limited to one base station (BS) area, in this paper, EE is integrated, investigated with various components (antenna, RF chain, circuit, coverage area) considering in, based on an optimized system model. That is, one optimized multi-BS system model is introduced beforehand with the cloud radio access network (C-RAN) for easier deployment of the selecting/sleeping mechanism. In addition, the system EE is described by an optimization problem while taking more component factors into consideration. While solving, this integrated optimization problem in all time intervals of all BS areas is proved to be equal to an optimization problem of each single BS area within each single time interval. After that, the integrated optimization solution is obtained while adding up the single-BS-single-interval optimization solutions, whereas the later solution is addressed by an offline decision method plus a convex optimization strategy. Observation from the numerical results demonstrates that the antenna power consumption is the dominant factor of the power consumption, which therefore, the dominant factor of EE performance. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of EURASIP Journal on Wireless Communications & Networking is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: Performance of MIMO systems
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      – SubjectFull: Energy consumption
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      – SubjectFull: Power amplifiers
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              Text: 12/16/2016
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