Error performance analysis of signal superposition coded cooperative diversity

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

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


This paper analyzes the error performance of a coded cooperative diversity system employing the Euclidean superposition of two BPSK-modulated signals. For an example using a convolutional code on block fading channels, the results show excellent agreement with computer simulations. The analysis makes it possible to optimize the power allocation between the local and relay signals numerically, circumventing the need for time consuming Monte Carlo simulations. Similarly, the analysis demonstrates how the power allocation can be "tuned" to compensate for unbalanced uplink channels and/or to provide unequal error protection to the data from the two cooperating nodes.

Original languageEnglish (US)
Pages (from-to)3123-3131
Number of pages9
JournalIEEE Transactions on Communications
Issue number10
StatePublished - 2009
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


  • Cooperative communications
  • Diversity methods
  • Fading channels
  • Relay channels
  • Signal superposition


Dive into the research topics of 'Error performance analysis of signal superposition coded cooperative diversity'. Together they form a unique fingerprint.

Cite this