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Tensor space-time (TST) coding for MIMO wireless communication systems

Abstract : In this paper, we propose a tensor space–time (TST) coding for multiple-input multiple-output (MIMO) wireless communication systems. The originality of TST coding is that it allows spreading and multiplexing the transmitted symbols, belonging to R data streams, in both space (antennas) and time (chips and blocks) domains, owing the use of two (stream- and antenna-to-block) allocation matrices. This TST coding is defined in terms of a third-order code tensor admitting transmit antenna, data stream and chip as modes. Assuming flat Rayleigh fading propagation channels, the signals received by K receive antennas during P time blocks, composed of N symbol periods each, with J chips per symbol, form a fourth-order tensor that satisfies a new constrained tensor model, called a PARATUCK-(2,4) model. Conditions for identifiability and uniqueness of this model are established, and a performance analysis of TST coding is made, before presenting a blind receiver for joint channel estimation and symbol recovery. Finally, some simulation results are provided to evaluate the performance of this receiv
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Submitted on : Friday, December 18, 2015 - 12:40:47 AM
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Gérard Favier, Michele Nazareth da Costa, André de Almeida, João Marcos Romano. Tensor space-time (TST) coding for MIMO wireless communication systems . Signal Processing, Elsevier, 2012, 92 (4), pp.1079-1092. ⟨10.1016/j.sigpro.2011.10.021⟩. ⟨hal-01246045⟩



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