Transmit Precoding for Receive Spatial Modulation Using Imperfect Channel Knowledge

Marco Di Renzo (1) , Harald Haas (2) , Sinan Sinanovic (2) , Athanasios Stavridis (2)

1 L2S - Laboratoire des signaux et systèmes
2 IDCOM - Institute for Digital Communications

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.

Domains: Signal and Image processing; Signal and Image Processing; Information Theory [cs.IT]; Information Theory [math.IT]

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⟩