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dc.contributor.author
Van Der Neut, Nuan  
dc.contributor.author
Maharaj, Bodhaswar T. J.  
dc.contributor.author
de Lange, Frederick  
dc.contributor.author
González, Gustavo José  
dc.contributor.author
Gregorio, Fernando Hugo  
dc.contributor.author
Cousseau, Juan Edmundo  
dc.date.available
2017-01-23T21:01:24Z  
dc.date.issued
2014-12  
dc.identifier.citation
Van Der Neut, Nuan ; Maharaj, Bodhaswar T. J.; de Lange, Frederick ; González, Gustavo José; Gregorio, Fernando Hugo; et al.; PAPR reduction in FBMC using an ACE-based linear programming optimization; Springer; Eurasip Journal on Advances in Signal Processing; 172; 12-2014; 1-21  
dc.identifier.issn
1687-6172  
dc.identifier.uri
http://hdl.handle.net/11336/11742  
dc.description.abstract
This paper presents four novel techniques for peak-to-average power ratio (PAPR) reduction in filter bank multicarrier (FBMC) modulation systems. The approach extends on current PAPR reduction active constellation extension (ACE) methods, as used in orthogonal frequency division multiplexing (OFDM), to an FBMC implementation as the main contribution. The four techniques introduced can be split up into two: linear programming optimization ACE-based techniques and smart gradient-project (SGP) ACE techniques. The linear programming (LP)-based techniques compensate for the symbol overlaps by utilizing a frame-based approach and provide a theoretical upper bound on achievable performance for the overlapping ACE techniques. The overlapping ACE techniques on the other hand can handle symbol by symbol processing. Furthermore, as a result of FBMC properties, the proposed techniques do not require side information transmission. The PAPR performance of the techniques is shown to match, or in some cases improve, on current PAPR techniques for FBMC. Initial analysis of the computational complexity of the SGP techniques indicates that the complexity issues with PAPR reduction in FBMC implementations can be addressed. The out-of-band interference introduced by the techniques is investigated. As a result, it is shown that the interference can be compensated for, whilst still maintaining decent PAPR performance. Additional results are also provided by means of a study of the PAPR reduction of the proposed techniques at a fixed clipping probability. The bit error rate (BER) degradation is investigated to ensure that the trade-off in terms of BER degradation is not too severe. As illustrated by exhaustive simulations, the SGP ACE-based technique proposed are ideal candidates for practical implementation in systems employing the low-complexity polyphase implementation of FBMC modulators. The methods are shown to offer significant PAPR reduction and increase the feasibility of FBMC as a replacement modulation system for OFDM.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Cognitive Radio  
dc.subject
Ofdm  
dc.subject
Papr  
dc.subject
Ace  
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Sgp  
dc.subject
Fbmc  
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Polyphase Realization  
dc.subject.classification
Telecomunicaciones  
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información  
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INGENIERÍAS Y TECNOLOGÍAS  
dc.title
PAPR reduction in FBMC using an ACE-based linear programming optimization  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2017-01-19T19:55:07Z  
dc.identifier.eissn
1687-6180  
dc.journal.number
172  
dc.journal.pagination
1-21  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Nueva York  
dc.description.fil
Fil: Van Der Neut, Nuan . University of Pretoria; Sudáfrica  
dc.description.fil
Fil: Maharaj, Bodhaswar T. J.. University of Pretoria; Sudáfrica  
dc.description.fil
Fil: de Lange, Frederick . University of Pretoria; Sudáfrica  
dc.description.fil
Fil: González, Gustavo José. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; Argentina  
dc.description.fil
Fil: Gregorio, Fernando Hugo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación En Ingeniería Eléctrica; Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; Argentina  
dc.description.fil
Fil: Cousseau, Juan Edmundo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación En Ingeniería Eléctrica; Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; Argentina  
dc.journal.title
Eurasip Journal on Advances in Signal Processing  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://asp.eurasipjournals.com/content/2014/1/172  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1186/1687-6180-2014-172