Precoding Design for Single-RF Massive MIMO Systems: A Large System Analysis

Handle URI:
http://hdl.handle.net/10754/622589
Title:
Precoding Design for Single-RF Massive MIMO Systems: A Large System Analysis
Authors:
Sifaou, Houssem ( 0000-0003-0630-7073 ) ; Kammoun, Abla ( 0000-0002-0195-3159 ) ; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
This work revisits a recently proposed precoding design for massive multiple-input multiple output (MIMO) systems that is based on the use of an instantaneous total power constraint. The main advantages of this technique lie in its suitability to the recently proposed single radio frequency (RF) MIMO transmitter coupled with a very-high power efficiency. Such features have been proven using simulations for uncorrelated channels. Based on tools from random matrix theory, we propose in this work to analyze the performance of this precoder for more involved channels accounting for spatial correlation. The obtained expressions are then optimized in order to maximize the signalto- interference-plus-noise ratio (SINR). Simulation results are provided in order to illustrate the performance of the optimized precoder in terms of peak-to-average power ratio (PAPR) and signal-to-interference-plus-noise ratio (SINR). © 2012 IEEE.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Sifaou H, Kammoun A, Alouini M-S (2016) Precoding Design for Single-RF Massive MIMO Systems: A Large System Analysis. IEEE Wireless Communications Letters 5: 592–595. Available: http://dx.doi.org/10.1109/LWC.2016.2603503.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Wireless Communications Letters
Issue Date:
26-Aug-2016
DOI:
10.1109/LWC.2016.2603503
Type:
Article
ISSN:
2162-2337; 2162-2345
Additional Links:
http://ieeexplore.ieee.org/document/7553448/
Appears in Collections:
Articles; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorSifaou, Houssemen
dc.contributor.authorKammoun, Ablaen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2017-01-02T09:55:31Z-
dc.date.available2017-01-02T09:55:31Z-
dc.date.issued2016-08-26en
dc.identifier.citationSifaou H, Kammoun A, Alouini M-S (2016) Precoding Design for Single-RF Massive MIMO Systems: A Large System Analysis. IEEE Wireless Communications Letters 5: 592–595. Available: http://dx.doi.org/10.1109/LWC.2016.2603503.en
dc.identifier.issn2162-2337en
dc.identifier.issn2162-2345en
dc.identifier.doi10.1109/LWC.2016.2603503en
dc.identifier.urihttp://hdl.handle.net/10754/622589-
dc.description.abstractThis work revisits a recently proposed precoding design for massive multiple-input multiple output (MIMO) systems that is based on the use of an instantaneous total power constraint. The main advantages of this technique lie in its suitability to the recently proposed single radio frequency (RF) MIMO transmitter coupled with a very-high power efficiency. Such features have been proven using simulations for uncorrelated channels. Based on tools from random matrix theory, we propose in this work to analyze the performance of this precoder for more involved channels accounting for spatial correlation. The obtained expressions are then optimized in order to maximize the signalto- interference-plus-noise ratio (SINR). Simulation results are provided in order to illustrate the performance of the optimized precoder in terms of peak-to-average power ratio (PAPR) and signal-to-interference-plus-noise ratio (SINR). © 2012 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/document/7553448/en
dc.subjectrandom matrix theoryen
dc.subjectMassive MIMOen
dc.subjectsingle RF transmitteren
dc.subjectpeak-to-average power ratio (PAPR)en
dc.titlePrecoding Design for Single-RF Massive MIMO Systems: A Large System Analysisen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalIEEE Wireless Communications Lettersen
kaust.authorSifaou, Houssemen
kaust.authorKammoun, Ablaen
kaust.authorAlouini, Mohamed-Slimen
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