Cooperative diversity based on code superposition

Xiao Lei, Thomas E. Fuja, Jörg Kliewer, Daniel J. Costello

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

16 Scopus citations

Abstract

This paper proposes a new approach to cooperative diversity based on the algebraic superposition of channel codes over a finite field. The scenario under consideration is one in which two "partners" - Node A and Node B - cooperate in transmitting information to a single destination; each partner transmits both locally-generated information and relayed information that originated at the other partner. A key observation is that Node B already knows Node A's relayed information (previously sent from Node B) and can exploit that knowledge when decoding Node A's local information. This leads to an encoding scheme in which each partner transmits the algebraic superposition of its local and relayed information, and the superimposed codeword is interpreted differently at the two receivers - i.e., at the other partner and at the destination node - based on their different a priori knowledge. It is shown via simulation that the proposed scheme provides substantial coding gain over other cooperative diversity techniques, including those based on time sharing and signal (Euclidean space) superposition.

Original languageEnglish (US)
Title of host publicationProceedings - 2006 IEEE International Symposium on Information Theory, ISIT 2006
Pages2456-2460
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
Country/TerritoryUnited States
CitySeattle, WA
Period7/9/067/14/06

All Science Journal Classification (ASJC) codes

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

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