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Transmit Precoding for Receive Spatial Modulation Using Imperfect Channel Knowledge

Abstract : 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.
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https://hal-supelec.archives-ouvertes.fr/hal-00732651
Contributor : Marco Di Renzo <>
Submitted on : Saturday, September 15, 2012 - 10:17:46 PM
Last modification on : Wednesday, September 16, 2020 - 4:42:51 PM

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Marco Di Renzo, Harald Haas, Sinan Sinanovic, Athanasios Stavridis. Transmit Precoding for Receive Spatial Modulation Using Imperfect Channel Knowledge. IEEE VTC2012-Spring, May 2012, Yokohama, Japan. pp. 1-5, ⟨10.1109/VETECS.2012.6240160⟩. ⟨hal-00732651⟩

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