On the optimal power allocation for broadcasting in dense cooperative networks

Birsen Sirkeci Mergen, Anna Scaglione

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

5 Scopus citations

Abstract

We study the optimal power allocation problem for cooperative broadcast in dense large-scale networks. In our setup, a single source initiates the transmission and the nodes that receive the message with sufficient signal-to-noise ratio (SNR) retransmit. The goal is to design the transmission order (schedule) and the transmission powers of the relays so that the message reaches to the entire network with the minimum possible power expenditure. In general, finding the best scheduling in cooperative broadcast is known to be NP-complete. In this paper, we show that the optimal scheduling is easily resolved for certain network topologies and channel models. Furthermore, we approximate dense large-scale networks with a continuum of nodes and provide optimal power density for the continuum network under pathloss attenuation.

Original languageEnglish (US)
Title of host publicationProceedings - 2006 IEEE International Symposium on Information Theory, ISIT 2006
Pages2889-2893
Number of pages5
DOIs
StatePublished - Dec 1 2006
Externally publishedYes
Event2006 IEEE International Symposium on Information Theory, ISIT 2006 - Seattle, WA, United States
Duration: Jul 9 2006Jul 14 2006

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
ISSN (Print)2157-8101

Other

Other2006 IEEE International Symposium on Information Theory, ISIT 2006
CountryUnited States
CitySeattle, WA
Period7/9/067/14/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Applied Mathematics

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    Mergen, B. S., & Scaglione, A. (2006). On the optimal power allocation for broadcasting in dense cooperative networks. In Proceedings - 2006 IEEE International Symposium on Information Theory, ISIT 2006 (pp. 2889-2893). [4036501] (IEEE International Symposium on Information Theory - Proceedings). https://doi.org/10.1109/ISIT.2006.261668