Multi-source cooperative networks with distributed convolutional coding

Renqiu Wang, Wanlun Zhao, Georgios B Giannakis

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

8 Scopus citations


Cooperative diversity, enabled by communicators willing to collaborate, offers an effective way of mitigating slow fading propagation effects. Recently, multi-source cooperation (MSC) has been introduced to provide higher diversity and code rates relative to cooperative schemes that rely on either amplify-and-forward or regeneration of information at relay nodes. In this paper, we develop a distributed convolutionally coded (DCC) MSC system. We show that in a cooperative network with binary transmission among K active users and M idle users, the maximum diversity order is min(dmin,α) for any MSC scheme with code rate R and minimum (free) Hamming distance d min, where α = 1 + ⌊L(1 -R)⌋ is the maximum possible diversity order provided by L independent Rayleigh channel gains. Notice that L = K, if cooperation takes place only between active users; and L = K + M, if M idle users also serve as relays. Compared to MSC with block coding, our DCC-MSC scheme is more effective with long codewords, when maximum likelihood decoding can be implemented using Viterbi's algorithm. We also design interleavers to maximize the diversity of the error event with minimum distance. Simulations verify that DCC-MSC can improve system performance markedly.

Original languageEnglish (US)
Title of host publicationConference Record of The Thirty-Ninth Asilomar Conference on Signals, Systems and Computers
Number of pages5
StatePublished - Dec 1 2005
Event39th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Oct 28 2005Nov 1 2005


Other39th Asilomar Conference on Signals, Systems and Computers
Country/TerritoryUnited States
CityPacific Grove, CA


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