Bit Loading Using Imperfect CSIT for Prediction-Based Resource Allocation in Mobile OFDMA

Autores
Schmidt, Jorge Friedrich; Cousseau, Juan Edmundo; Wichman, Risto Ilari; Werner, Stefan
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We present a prediction-based resource allocation algorithm (RA) for orthogonal frequency-division multiple-access (OFDMA) downlink, where inaccuracies in the wireless channel predictions are accounted for in the problem formulation. As the prediction quality significantly degrades with the prediction horizon, we propose a solution based on the histogram of the prediction error. This characterization also enables different mobile stations (MSs) to use different channel predictors as it does not rely on a specific prediction scheme. Using this characterization of the prediction error and based on classical resource allocation strategies, we derive an algorithm that incorporates imperfect channel prediction information of future time slots. We evaluate the proposed algorithm using a practical low-complexity channel predictor suitable for implementation at the MSs. Simulation results show that the proposed algorithm outperforms previous prediction-based RA strategies without the characterization of the prediction error, and the system throughput is comparable with the case with perfect channel state information in the transmitter (CSIT).
Fil: Schmidt, Jorge Friedrich. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages". Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages"; Argentina
Fil: Cousseau, Juan Edmundo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages". Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages"; Argentina
Fil: Wichman, Risto Ilari. Aalto University; Finlandia
Fil: Werner, Stefan. Aalto University; Finlandia
Materia
Scheduling
Time-varying
Cannel
Wireless
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/102248
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/102248
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Bit Loading Using Imperfect CSIT for Prediction-Based Resource Allocation in Mobile OFDMASchmidt, Jorge FriedrichCousseau, Juan EdmundoWichman, Risto IlariWerner, StefanSchedulingTime-varyingCannelWirelesshttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2We present a prediction-based resource allocation algorithm (RA) for orthogonal frequency-division multiple-access (OFDMA) downlink, where inaccuracies in the wireless channel predictions are accounted for in the problem formulation. As the prediction quality significantly degrades with the prediction horizon, we propose a solution based on the histogram of the prediction error. This characterization also enables different mobile stations (MSs) to use different channel predictors as it does not rely on a specific prediction scheme. Using this characterization of the prediction error and based on classical resource allocation strategies, we derive an algorithm that incorporates imperfect channel prediction information of future time slots. We evaluate the proposed algorithm using a practical low-complexity channel predictor suitable for implementation at the MSs. Simulation results show that the proposed algorithm outperforms previous prediction-based RA strategies without the characterization of the prediction error, and the system throughput is comparable with the case with perfect channel state information in the transmitter (CSIT).Fil: Schmidt, Jorge Friedrich. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages". Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages"; ArgentinaFil: Cousseau, Juan Edmundo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages". Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages"; ArgentinaFil: Wichman, Risto Ilari. Aalto University; FinlandiaFil: Werner, Stefan. Aalto University; FinlandiaInstitute of Electrical and Electronics Engineers2011-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/102248Schmidt, Jorge Friedrich; Cousseau, Juan Edmundo; Wichman, Risto Ilari; Werner, Stefan; Bit Loading Using Imperfect CSIT for Prediction-Based Resource Allocation in Mobile OFDMA; Institute of Electrical and Electronics Engineers; Ieee Transactions On Vehicular Technology; 60; 8; 10-2011; 4082-40880018-9545CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/abstract/document/5986754info:eu-repo/semantics/altIdentifier/doi/10.1109/TVT.2011.2165305info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T12:07:20Zoai:ri.conicet.gov.ar:11336/102248instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 12:07:21.156CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Bit Loading Using Imperfect CSIT for Prediction-Based Resource Allocation in Mobile OFDMA
title Bit Loading Using Imperfect CSIT for Prediction-Based Resource Allocation in Mobile OFDMA
spellingShingle Bit Loading Using Imperfect CSIT for Prediction-Based Resource Allocation in Mobile OFDMA
Schmidt, Jorge Friedrich
Scheduling
Time-varying
Cannel
Wireless
title_short Bit Loading Using Imperfect CSIT for Prediction-Based Resource Allocation in Mobile OFDMA
title_full Bit Loading Using Imperfect CSIT for Prediction-Based Resource Allocation in Mobile OFDMA
title_fullStr Bit Loading Using Imperfect CSIT for Prediction-Based Resource Allocation in Mobile OFDMA
title_full_unstemmed Bit Loading Using Imperfect CSIT for Prediction-Based Resource Allocation in Mobile OFDMA
title_sort Bit Loading Using Imperfect CSIT for Prediction-Based Resource Allocation in Mobile OFDMA
dc.creator.none.fl_str_mv Schmidt, Jorge Friedrich
Cousseau, Juan Edmundo
Wichman, Risto Ilari
Werner, Stefan
author Schmidt, Jorge Friedrich
author_facet Schmidt, Jorge Friedrich
Cousseau, Juan Edmundo
Wichman, Risto Ilari
Werner, Stefan
author_role author
author2 Cousseau, Juan Edmundo
Wichman, Risto Ilari
Werner, Stefan
author2_role author
author
author
dc.subject.none.fl_str_mv Scheduling
Time-varying
Cannel
Wireless
topic Scheduling
Time-varying
Cannel
Wireless
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv We present a prediction-based resource allocation algorithm (RA) for orthogonal frequency-division multiple-access (OFDMA) downlink, where inaccuracies in the wireless channel predictions are accounted for in the problem formulation. As the prediction quality significantly degrades with the prediction horizon, we propose a solution based on the histogram of the prediction error. This characterization also enables different mobile stations (MSs) to use different channel predictors as it does not rely on a specific prediction scheme. Using this characterization of the prediction error and based on classical resource allocation strategies, we derive an algorithm that incorporates imperfect channel prediction information of future time slots. We evaluate the proposed algorithm using a practical low-complexity channel predictor suitable for implementation at the MSs. Simulation results show that the proposed algorithm outperforms previous prediction-based RA strategies without the characterization of the prediction error, and the system throughput is comparable with the case with perfect channel state information in the transmitter (CSIT).
Fil: Schmidt, Jorge Friedrich. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages". Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages"; Argentina
Fil: Cousseau, Juan Edmundo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages". Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages"; Argentina
Fil: Wichman, Risto Ilari. Aalto University; Finlandia
Fil: Werner, Stefan. Aalto University; Finlandia
description We present a prediction-based resource allocation algorithm (RA) for orthogonal frequency-division multiple-access (OFDMA) downlink, where inaccuracies in the wireless channel predictions are accounted for in the problem formulation. As the prediction quality significantly degrades with the prediction horizon, we propose a solution based on the histogram of the prediction error. This characterization also enables different mobile stations (MSs) to use different channel predictors as it does not rely on a specific prediction scheme. Using this characterization of the prediction error and based on classical resource allocation strategies, we derive an algorithm that incorporates imperfect channel prediction information of future time slots. We evaluate the proposed algorithm using a practical low-complexity channel predictor suitable for implementation at the MSs. Simulation results show that the proposed algorithm outperforms previous prediction-based RA strategies without the characterization of the prediction error, and the system throughput is comparable with the case with perfect channel state information in the transmitter (CSIT).
publishDate 2011
dc.date.none.fl_str_mv 2011-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/102248
Schmidt, Jorge Friedrich; Cousseau, Juan Edmundo; Wichman, Risto Ilari; Werner, Stefan; Bit Loading Using Imperfect CSIT for Prediction-Based Resource Allocation in Mobile OFDMA; Institute of Electrical and Electronics Engineers; Ieee Transactions On Vehicular Technology; 60; 8; 10-2011; 4082-4088
0018-9545
CONICET Digital
CONICET
url http://hdl.handle.net/11336/102248
identifier_str_mv Schmidt, Jorge Friedrich; Cousseau, Juan Edmundo; Wichman, Risto Ilari; Werner, Stefan; Bit Loading Using Imperfect CSIT for Prediction-Based Resource Allocation in Mobile OFDMA; Institute of Electrical and Electronics Engineers; Ieee Transactions On Vehicular Technology; 60; 8; 10-2011; 4082-4088
0018-9545
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/abstract/document/5986754
info:eu-repo/semantics/altIdentifier/doi/10.1109/TVT.2011.2165305
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846782437661605888
score 12.982451

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