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We address the problem of adaptive modulation and coding scheme (AMCS) for a multi-input multioutput (MIMO) system in presence
of time-varying transmitting correlation. Antenna subset selection and quasiorthogonal space-time block code (QOSTBC) have
different error performances with different signal-to-noise ratios (SNRs) and in different spatial correlation scenarios.
The error performance can be improved by selecting an appropriate transmission scheme to adapt to various channel conditions.
The maximum distance criterion is the simplest and very effective algorithm for the antenna subset selection without needs
of complex calculation and channel state information at transmitter (CSIT). The minimum error performance criteria and the
simplified linear decision strategy are developed for constant transmission rate traffic to select the optimal transmission
scheme. It can dramatically decrease algorithm complexity for obtaining error probability according to the known quantities
comparing with using instant CSIT. Simulation results show that, remarkable performances including low SNR and weak spatial
correlation at the expense of simple calculation and almost no bandwidth loss by adopting AMCS can be achieved. The proposed
AMCS improves robustness of slowly varying spatial correlated channels. 相似文献