About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
5th International ICST Conference on Communications and Networking in China

Research Article

The capacity region of a product Gaussian broadcast channel with degraded message sets

Download560 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/chinacom.2010.84,
        author={Jae Won Yoo and Tie Liu and Yingbin Liang},
        title={The capacity region of a product Gaussian broadcast channel with degraded message sets},
        proceedings={5th International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2011},
        month={1},
        keywords={Decoding Encoding Entropy Markov processes Receivers Transmitters},
        doi={10.4108/chinacom.2010.84}
    }
    
  • Jae Won Yoo
    Tie Liu
    Yingbin Liang
    Year: 2011
    The capacity region of a product Gaussian broadcast channel with degraded message sets
    CHINACOM
    ICST
    DOI: 10.4108/chinacom.2010.84
Jae Won Yoo1,*, Tie Liu1,*, Yingbin Liang2,*
  • 1: Dept. of Electrical & Computer Engineering, Texas A&M University, College Station, TX 77843
  • 2: Dept. of Electrical Engineering & Computer Science, Syracuse University, Syracuse, NY 13244
*Contact email: yoojw78@tamu.edu, tieliu@tamu.edu, yliang06@syr.edu

Abstract

A product Gaussian broadcast channel with three receivers and degraded message sets is considered. A single-letter characterization of the capacity region was obtained in a recent work of Nair and El Gamal based on superposition coding and indirect decoding. Through Lagrangian theory and an extremal entropy inequality, the single-letter expression of Nair and El Gamal is evaluated for the specific product Gaussian model, which leads to an explicit characterization of the capacity region.

Keywords
Decoding Encoding Entropy Markov processes Receivers Transmitters
Published
2011-01-10
Publisher
IEEE
http://dx.doi.org/10.4108/chinacom.2010.84
Copyright © 2010–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL