Energy-Efficient Power Allocation for MIMO-SVD Systems

Handle URI:
http://hdl.handle.net/10754/623761
Title:
Energy-Efficient Power Allocation for MIMO-SVD Systems
Authors:
Sboui, Lokman ( 0000-0003-1134-4055 ) ; Rezki, Zouheir; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
In this paper, we address the problem of energyefficient power allocation in MIMO systems. In fact, the widely adopted water-filling power allocation does not ensure the maximization of the energy efficiency (EE). Since the EE maximization is a non-convex problem, numerical methods based on fractional programming were introduced to find the optimal power solutions. In this paper, we present a novel and simple power allocation scheme based on the explicit expressions of the optimal power. We also present a low-complexity algorithm that complements the proposed scheme for low circuit-power regime. Furthermore, we analyze power-constrained and rate-constrained systems and present the corresponding optimal power control. In the numerical results, we show that the presented analytical expressions are accurate and that the algorithm converges within two iterations. We also show that as the number of antenna increases, the system becomes more energy-efficient. Also, a saturation of the EE is observed at high power budget and low minimal rate regimes.
KAUST Department:
King Abdullah University of Science and Technology (KAUST), Thuwal, Makkah Province, Saudi Arabia
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Access
Issue Date:
24-May-2017
DOI:
10.1109/ACCESS.2017.2707550
Type:
Article
ISSN:
2169-3536
Additional Links:
http://ieeexplore.ieee.org/document/7933177/
Appears in Collections:
Articles

Full metadata record

DC FieldValue Language
dc.contributor.authorSboui, Lokmanen
dc.contributor.authorRezki, Zouheiren
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2017-05-31T10:09:30Z-
dc.date.available2017-05-31T10:09:30Z-
dc.date.issued2017-05-24en
dc.identifier.issn2169-3536en
dc.identifier.doi10.1109/ACCESS.2017.2707550en
dc.identifier.urihttp://hdl.handle.net/10754/623761-
dc.description.abstractIn this paper, we address the problem of energyefficient power allocation in MIMO systems. In fact, the widely adopted water-filling power allocation does not ensure the maximization of the energy efficiency (EE). Since the EE maximization is a non-convex problem, numerical methods based on fractional programming were introduced to find the optimal power solutions. In this paper, we present a novel and simple power allocation scheme based on the explicit expressions of the optimal power. We also present a low-complexity algorithm that complements the proposed scheme for low circuit-power regime. Furthermore, we analyze power-constrained and rate-constrained systems and present the corresponding optimal power control. In the numerical results, we show that the presented analytical expressions are accurate and that the algorithm converges within two iterations. We also show that as the number of antenna increases, the system becomes more energy-efficient. Also, a saturation of the EE is observed at high power budget and low minimal rate regimes.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/document/7933177/en
dc.rights(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.en
dc.subjectenergy-efficiency, MIMO systems, minimal rate constraineden
dc.subjectoptimal power allocationen
dc.subjectpower budget constrainten
dc.titleEnergy-Efficient Power Allocation for MIMO-SVD Systemsen
dc.typeArticleen
dc.contributor.departmentKing Abdullah University of Science and Technology (KAUST), Thuwal, Makkah Province, Saudi Arabiaen
dc.identifier.journalIEEE Accessen
dc.eprint.versionPost-printen
dc.contributor.institutionUniversity of Idaho, Moscow, ID, USAen
kaust.authorSboui, Lokmanen
kaust.authorAlouini, Mohamed-Slimen
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