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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/102248
Ver los metadatos del registro completo
id |
CONICETDig_26adbe92b29bb8f18076063796f435f5 |
---|---|
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 Técnicas2025-09-29T10:34:58Zoai: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:34982025-09-29 10:34:59.173CONICET 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_ |
1844614367353503744 |
score |
13.070432 |