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Energy Efficiency Analysis and Optimal Power Allocation in Virtual-MIMO Systems

Jiang, J, Dianati, M, Imran, MA and Chen, Y (2012) Energy Efficiency Analysis and Optimal Power Allocation in Virtual-MIMO Systems In: IEEE VTC Fall 2012, 2012-09-03 - 2012-09-06, Quebec City, Canada.

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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.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Authors :
AuthorsEmailORCID
Jiang, JUNSPECIFIEDUNSPECIFIED
Dianati, MUNSPECIFIEDUNSPECIFIED
Imran, MAUNSPECIFIEDUNSPECIFIED
Chen, YUNSPECIFIEDUNSPECIFIED
Date : 3 September 2012
Identification Number : 10.1109/VTCFall.2012.6399002
Contributors :
ContributionNameEmailORCID
PublisherIEEE, UNSPECIFIEDUNSPECIFIED
Additional Information : © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 29 Apr 2013 10:00
Last Modified : 23 Sep 2013 19:55
URI: http://epubs.surrey.ac.uk/id/eprint/742157

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