TY - GEN
T1 - Complex field coding in multi-source cooperative networks for full diversity
AU - Wang, Renqiu
AU - Giannakis, Georgios B
PY - 2006
Y1 - 2006
N2 - Recently, error control codes, including convolutional codes, have been used in multi-source cooperation (MSC) networks to provide higher diversity and code rates relative to repetition-based single source cooperation alternatives. For an MSC network with K active users, it has been established that the maximum diversity order is less than K for any error control code with code rate R > 1/K. This paper introduces distributed complex field coding (DCFC) in MSC networks. Theoretical analysis reveals that DCFC-MSC is capable of enabling full diversity order equal to K, at a fixed rate 1/2. Simulations verify that DCFC-MSC can improve system performance markedly.
AB - Recently, error control codes, including convolutional codes, have been used in multi-source cooperation (MSC) networks to provide higher diversity and code rates relative to repetition-based single source cooperation alternatives. For an MSC network with K active users, it has been established that the maximum diversity order is less than K for any error control code with code rate R > 1/K. This paper introduces distributed complex field coding (DCFC) in MSC networks. Theoretical analysis reveals that DCFC-MSC is capable of enabling full diversity order equal to K, at a fixed rate 1/2. Simulations verify that DCFC-MSC can improve system performance markedly.
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U2 - 10.1109/ICC.2006.255345
DO - 10.1109/ICC.2006.255345
M3 - Conference contribution
AN - SCOPUS:42549097893
SN - 1424403553
SN - 9781424403554
T3 - IEEE International Conference on Communications
SP - 4485
EP - 4488
BT - 2006 IEEE International Conference on Communications, ICC 2006
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2006 IEEE International Conference on Communications, ICC 2006
Y2 - 11 July 2006 through 15 July 2006
ER -