Abstract
Link adaptation in the form of Euclidean distance-based antenna selection (EDAS) at the transmitter, has demonstrated a significant improvement in the error performance of spatial modulation (SM). However, when a large transmit antenna array is required, the computational complexity imposed by the EDAS scheme is inherently high. Thus, there is great motivation for the development of low-complexity transmit antenna selection (LCTAS) schemes for SM. In this study, the authors propose several LCTAS schemes for SM. Assuming full knowledge of the channel at the receiver, the proposed schemes select a subset of the candidate transmit antenna elements based on channel amplitude, antenna correlation, Euclidean distance between transmit vectors or a combination of these; demonstrating a significant improvement in error performance compared with conventional SM, while imposing significantly lower computational complexity than EDAS-SM. Moreover, the proposed schemes employ a novel complexity reducing technique, which allows parallel processing of algorithms and can easily be applied to existing schemes.
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