Transmit precoding for receive spatial modulation using imperfect channel knowledge

Athanasios Stavridis, Sinan Sinanovic, Marco Di Renzo, Harald Haas

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

    59 Citations (Scopus)


    In this paper, motivated by the relatively new concept of Spatial Modulation (SM), we are addressing the problem of Receive-Spatial Modulation (R-SM) under two cases of imperfect channel knowledge at the transmitter side. In the first case, we adopt a statistical model for the channel uncertainties, whereas in the second one a worst-case approach is followed and the channel uncertainties are expressed as a bounded set. Based on Zero-Forcing (ZF) precoding and using standard tools from optimization theory, we derive closed form solutions that turn out to be robust. Simulation results show that the proposed schemes have a performance close to the perfect channel knowledge scenario in low and mid-low SNRs. Furthermore, these designs can be applied to wide range of channels with different correlation states combined with a transmit power gain.
    Original languageEnglish
    Title of host publicationIEEE 75th Vehicular Technology Conference (VTC Spring), 2012
    Number of pages5
    ISBN (Print)9781467309899
    Publication statusPublished - 2012


    • spatial modulation
    • channel knowledge
    • transmitters


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