Energy efficiency and optimal power allocation in virtual-mimo systems

Jing Jiang; Mehrdad Dianati; Muhammad Ali Imran; Yan Chen

doi:10.1109/VTCFall.2012.6399002

Energy efficiency and optimal power allocation in virtual-mimo systems

Jing Jiang
, Mehrdad Dianati
, Muhammad Ali Imran
, Yan Chen

University of Surrey
Huawei Technologies Co., Ltd.

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

19 Scopus citations

Abstract

This paper investigates energy efficiency (EE) performance of a virtual multiple-input multiple- output (MIMO) wireless system using the receiver- side cooperation with the compress-and-forward protocol. We derive a linear approximation of EE as a function of spectral efficiency (SE) in the low SE operation regime. In addition, we obtain a closed-form lower bound for EE which is valid for both low and high SE regions. This lower bound can be used for optimizing the power allocation between the transmitter and the relay in order to minimize the overall energy per bit consumption in the system. Both analytical and simulation results demonstrate that the virtual MIMO system using the receiver-side cooperation outperforms the multiple- input single-output (MISO) case in terms of energy efficiency. Finally we show that, with the optimal power allocation, the virtual-MIMO system achieves an EE performance close to that of an ideal MIMO system.

Original language	English
Title of host publication	2012 IEEE Vehicular Technology Conference, VTC Fall 2012 - Proceedings
DOIs	https://doi.org/10.1109/VTCFall.2012.6399002
State	Published - 2012
Externally published	Yes
Event	76th IEEE Vehicular Technology Conference, VTC Fall 2012 - Quebec City, QC, Canada Duration: 3 Sep 2012 → 6 Sep 2012

Publication series

Name	IEEE Vehicular Technology Conference
ISSN (Print)	1550-2252

Conference

Conference	76th IEEE Vehicular Technology Conference, VTC Fall 2012
Country/Territory	Canada
City	Quebec City, QC
Period	3/09/12 → 6/09/12

UN SDGs

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

SDG 7 Affordable and Clean Energy

Access to Document

10.1109/VTCFall.2012.6399002

Cite this

@inproceedings{a42d4f15fe10444097fdcf5c4628da07,

title = "Energy efficiency and optimal power allocation in virtual-mimo systems",

abstract = "This paper investigates energy efficiency (EE) performance of a virtual multiple-input multiple- output (MIMO) wireless system using the receiver- side cooperation with the compress-and-forward protocol. We derive a linear approximation of EE as a function of spectral efficiency (SE) in the low SE operation regime. In addition, we obtain a closed-form lower bound for EE which is valid for both low and high SE regions. This lower bound can be used for optimizing the power allocation between the transmitter and the relay in order to minimize the overall energy per bit consumption in the system. Both analytical and simulation results demonstrate that the virtual MIMO system using the receiver-side cooperation outperforms the multiple- input single-output (MISO) case in terms of energy efficiency. Finally we show that, with the optimal power allocation, the virtual-MIMO system achieves an EE performance close to that of an ideal MIMO system.",

author = "Jing Jiang and Mehrdad Dianati and Imran, \{Muhammad Ali\} and Yan Chen",

year = "2012",

doi = "10.1109/VTCFall.2012.6399002",

language = "English",

isbn = "9781467318815",

series = "IEEE Vehicular Technology Conference",

booktitle = "2012 IEEE Vehicular Technology Conference, VTC Fall 2012 - Proceedings",

note = "76th IEEE Vehicular Technology Conference, VTC Fall 2012 ; Conference date: 03-09-2012 Through 06-09-2012",

}

Jiang, J, Dianati, M, Imran, MA & Chen, Y 2012, Energy efficiency and optimal power allocation in virtual-mimo systems. in 2012 IEEE Vehicular Technology Conference, VTC Fall 2012 - Proceedings., 6399002, IEEE Vehicular Technology Conference, 76th IEEE Vehicular Technology Conference, VTC Fall 2012, Quebec City, QC, Canada, 3/09/12. https://doi.org/10.1109/VTCFall.2012.6399002

TY - GEN

T1 - Energy efficiency and optimal power allocation in virtual-mimo systems

AU - Jiang, Jing

AU - Dianati, Mehrdad

AU - Imran, Muhammad Ali

AU - Chen, Yan

PY - 2012

Y1 - 2012

N2 - This paper investigates energy efficiency (EE) performance of a virtual multiple-input multiple- output (MIMO) wireless system using the receiver- side cooperation with the compress-and-forward protocol. We derive a linear approximation of EE as a function of spectral efficiency (SE) in the low SE operation regime. In addition, we obtain a closed-form lower bound for EE which is valid for both low and high SE regions. This lower bound can be used for optimizing the power allocation between the transmitter and the relay in order to minimize the overall energy per bit consumption in the system. Both analytical and simulation results demonstrate that the virtual MIMO system using the receiver-side cooperation outperforms the multiple- input single-output (MISO) case in terms of energy efficiency. Finally we show that, with the optimal power allocation, the virtual-MIMO system achieves an EE performance close to that of an ideal MIMO system.

AB - This paper investigates energy efficiency (EE) performance of a virtual multiple-input multiple- output (MIMO) wireless system using the receiver- side cooperation with the compress-and-forward protocol. We derive a linear approximation of EE as a function of spectral efficiency (SE) in the low SE operation regime. In addition, we obtain a closed-form lower bound for EE which is valid for both low and high SE regions. This lower bound can be used for optimizing the power allocation between the transmitter and the relay in order to minimize the overall energy per bit consumption in the system. Both analytical and simulation results demonstrate that the virtual MIMO system using the receiver-side cooperation outperforms the multiple- input single-output (MISO) case in terms of energy efficiency. Finally we show that, with the optimal power allocation, the virtual-MIMO system achieves an EE performance close to that of an ideal MIMO system.

UR - https://www.scopus.com/pages/publications/84878934786

U2 - 10.1109/VTCFall.2012.6399002

DO - 10.1109/VTCFall.2012.6399002

M3 - Conference contribution

AN - SCOPUS:84878934786

SN - 9781467318815

T3 - IEEE Vehicular Technology Conference

BT - 2012 IEEE Vehicular Technology Conference, VTC Fall 2012 - Proceedings

T2 - 76th IEEE Vehicular Technology Conference, VTC Fall 2012

Y2 - 3 September 2012 through 6 September 2012

ER -

Energy efficiency and optimal power allocation in virtual-mimo systems

Abstract

Publication series

Conference

UN SDGs

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