Recursive power allocation in gaussian layered broadcast coding with successive refinement

Chris T K Ng, Deniz Gündüz, Andrea J. Goldsmith, Elza Erkip

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A transmitter without channel state information wishes to send a delay-limited Gaussian source over a slowly fading channel that has a finite number of discrete fading states. The source is coded in layers, with each layer successively refining the description in the previous one. These coded source layers are then superimposed and simultaneously transmitted to the receiver. The receiver decodes the layers that are supported by the realization of the channel, and combines the descriptions in the decoded layers to reconstruct the source up to a distortion. The expected distortion is minimized by optimally allocating the transmit power among the given number of source layers. For two layers, the allocation is optimal when power is first assigned to the higher layer up to a power ceiling that depends only on the channel fading distribution; all remaining power, if any, is allocated to the lower layer. For multiple layers, the overall expected distortion can be written as a set of recurrence relations, and the minimum expected distortion is found by recursively applying the two-layer optimization procedure at each recurrence step.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Communications, ICC'07
Pages889-896
Number of pages8
DOIs
StatePublished - 2007
Event2007 IEEE International Conference on Communications, ICC'07 - Glasgow, Scotland, United Kingdom
Duration: Jun 24 2007Jun 28 2007

Other

Other2007 IEEE International Conference on Communications, ICC'07
CountryUnited Kingdom
CityGlasgow, Scotland
Period6/24/076/28/07

Fingerprint

Fading channels
Ceilings
Channel state information
Refining
Transmitters

ASJC Scopus subject areas

  • Media Technology

Cite this

Ng, C. T. K., Gündüz, D., Goldsmith, A. J., & Erkip, E. (2007). Recursive power allocation in gaussian layered broadcast coding with successive refinement. In 2007 IEEE International Conference on Communications, ICC'07 (pp. 889-896). [4288822] https://doi.org/10.1109/ICC.2007.151

Recursive power allocation in gaussian layered broadcast coding with successive refinement. / Ng, Chris T K; Gündüz, Deniz; Goldsmith, Andrea J.; Erkip, Elza.

2007 IEEE International Conference on Communications, ICC'07. 2007. p. 889-896 4288822.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ng, CTK, Gündüz, D, Goldsmith, AJ & Erkip, E 2007, Recursive power allocation in gaussian layered broadcast coding with successive refinement. in 2007 IEEE International Conference on Communications, ICC'07., 4288822, pp. 889-896, 2007 IEEE International Conference on Communications, ICC'07, Glasgow, Scotland, United Kingdom, 6/24/07. https://doi.org/10.1109/ICC.2007.151
Ng CTK, Gündüz D, Goldsmith AJ, Erkip E. Recursive power allocation in gaussian layered broadcast coding with successive refinement. In 2007 IEEE International Conference on Communications, ICC'07. 2007. p. 889-896. 4288822 https://doi.org/10.1109/ICC.2007.151
Ng, Chris T K ; Gündüz, Deniz ; Goldsmith, Andrea J. ; Erkip, Elza. / Recursive power allocation in gaussian layered broadcast coding with successive refinement. 2007 IEEE International Conference on Communications, ICC'07. 2007. pp. 889-896
@inproceedings{9cf977f914c545118de79e121d194ebd,
title = "Recursive power allocation in gaussian layered broadcast coding with successive refinement",
abstract = "A transmitter without channel state information wishes to send a delay-limited Gaussian source over a slowly fading channel that has a finite number of discrete fading states. The source is coded in layers, with each layer successively refining the description in the previous one. These coded source layers are then superimposed and simultaneously transmitted to the receiver. The receiver decodes the layers that are supported by the realization of the channel, and combines the descriptions in the decoded layers to reconstruct the source up to a distortion. The expected distortion is minimized by optimally allocating the transmit power among the given number of source layers. For two layers, the allocation is optimal when power is first assigned to the higher layer up to a power ceiling that depends only on the channel fading distribution; all remaining power, if any, is allocated to the lower layer. For multiple layers, the overall expected distortion can be written as a set of recurrence relations, and the minimum expected distortion is found by recursively applying the two-layer optimization procedure at each recurrence step.",
author = "Ng, {Chris T K} and Deniz G{\"u}nd{\"u}z and Goldsmith, {Andrea J.} and Elza Erkip",
year = "2007",
doi = "10.1109/ICC.2007.151",
language = "English (US)",
isbn = "1424403537",
pages = "889--896",
booktitle = "2007 IEEE International Conference on Communications, ICC'07",

}

TY - GEN

T1 - Recursive power allocation in gaussian layered broadcast coding with successive refinement

AU - Ng, Chris T K

AU - Gündüz, Deniz

AU - Goldsmith, Andrea J.

AU - Erkip, Elza

PY - 2007

Y1 - 2007

N2 - A transmitter without channel state information wishes to send a delay-limited Gaussian source over a slowly fading channel that has a finite number of discrete fading states. The source is coded in layers, with each layer successively refining the description in the previous one. These coded source layers are then superimposed and simultaneously transmitted to the receiver. The receiver decodes the layers that are supported by the realization of the channel, and combines the descriptions in the decoded layers to reconstruct the source up to a distortion. The expected distortion is minimized by optimally allocating the transmit power among the given number of source layers. For two layers, the allocation is optimal when power is first assigned to the higher layer up to a power ceiling that depends only on the channel fading distribution; all remaining power, if any, is allocated to the lower layer. For multiple layers, the overall expected distortion can be written as a set of recurrence relations, and the minimum expected distortion is found by recursively applying the two-layer optimization procedure at each recurrence step.

AB - A transmitter without channel state information wishes to send a delay-limited Gaussian source over a slowly fading channel that has a finite number of discrete fading states. The source is coded in layers, with each layer successively refining the description in the previous one. These coded source layers are then superimposed and simultaneously transmitted to the receiver. The receiver decodes the layers that are supported by the realization of the channel, and combines the descriptions in the decoded layers to reconstruct the source up to a distortion. The expected distortion is minimized by optimally allocating the transmit power among the given number of source layers. For two layers, the allocation is optimal when power is first assigned to the higher layer up to a power ceiling that depends only on the channel fading distribution; all remaining power, if any, is allocated to the lower layer. For multiple layers, the overall expected distortion can be written as a set of recurrence relations, and the minimum expected distortion is found by recursively applying the two-layer optimization procedure at each recurrence step.

UR - http://www.scopus.com/inward/record.url?scp=35148847538&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=35148847538&partnerID=8YFLogxK

U2 - 10.1109/ICC.2007.151

DO - 10.1109/ICC.2007.151

M3 - Conference contribution

SN - 1424403537

SN - 9781424403530

SP - 889

EP - 896

BT - 2007 IEEE International Conference on Communications, ICC'07

ER -