Training-Embedded, Single-Symbol ML-Decodable, Distributed STBCs for Relay Networks

Details Training-Embedded, Single-Symbol ML-Decodable, Distributed STBCs for Relay Networks Training-Embedded, Single-Symbol ML-Decodable, Distributed STBCs for Relay Networks

2009-09-08

arxiv.org/abs/0909.1525v2

Computer Science

Information Theory

7 pages, 2 figures

Scientific paper

Recently, a special class of complex designs called Training-Embedded Complex Orthogonal Designs (TE-CODs) has been introduced to construct single-symbol Maximum Likelihood (ML) decodable (SSD) distributed space-time block codes (DSTBCs) for two-hop wireless relay networks using the amplify and forward protocol. However, to implement DSTBCs from square TE-CODs, the overhead due to the transmission of training symbols becomes prohibitively large as the number of relays increase. In this paper, we propose TE-Coordinate Interleaved Orthogonal Designs (TE-CIODs) to construct SSD DSTBCs. Exploiting the block diagonal structure of TE-CIODs, we show that, the overhead due to the transmission of training symbols to implement DSTBCs from TE-CIODs is smaller than that for TE-CODs. We also show that DSTBCs from TE-CIODs offer higher rate than those from TE-CODs for identical number of relays while maintaining the SSD and full-diversity properties.

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