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

25 Scopus citations


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
Number of pages8
StatePublished - 2007
Externally publishedYes
Event2007 IEEE International Conference on Communications, ICC'07 - Glasgow, Scotland, United Kingdom
Duration: Jun 24 2007Jun 28 2007

Publication series

NameIEEE International Conference on Communications
ISSN (Print)0536-1486


Other2007 IEEE International Conference on Communications, ICC'07
Country/TerritoryUnited Kingdom
CityGlasgow, Scotland

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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