Rajan, G S and Rajan, B S (2010) DISTRIBUTED SPACE-TIME CODES WITH LOW ML DECODING COMPLEXITY. [Book Chapter]
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Cooperative communication in a wireless relay network consisting of a source node, a destination node, and several relay nodes equipped with half duplex single antenna transceivers is considered. Recently, for such a setting, it has been shown that diversity order equal to the number of relays can be achieved provided appropriate distributed space-time block codes (DSTBCs) are manufactured/used by the relay nodes, thus emulating a virtual multiple input multiple output (MIMO) system. This chapter deals with DSTBCs with low maximum likelihood (ML) decoding complexity. After a brief introduction and background to the study of STBCs and DSTBCs, a survey of STBC constructions for point to point MIMO systems that are amenable for low complexity ML decoding is presented. Then, DSTBC constructions achieving full cooperative diversity along with low ML decoding complexity are discussed separately for two cases: (i) the destination has perfect channel state information (CSI) of the source to relay as well as the relay to destination channel fading gains and no CSI is available at the source and relay nodes and (ii) the destination has full CSI and the relays have partial CSI corresponding to the phase component of the source to relay channel gains. For some of these cases, upper bounds on the maximum rate of single symbol ML decodable DSTBCs are also provided. These are counterparts of the well-known complex orthogonal designs for point to point MIMO systems that includes the Alamouti code as a special case. © 2010 by World Scientific Publishing Co. Pte. Ltd.
| Item Type: | Book Chapter |
|---|---|
| Publication: | Selected Topics in Information and Coding Theory |
| Publisher: | World Scientific Publishing Co. |
| Additional Information: | The copyright for this article belongs to World Scientific Publishing Co. |
| Department/Centre: | Division of Electrical Sciences > Electrical Communication Engineering |
| Date Deposited: | 23 May 2022 06:18 |
| Last Modified: | 23 May 2022 06:18 |
| URI: | https://eprints.iisc.ac.in/id/eprint/71916 |
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