Adaptive Power Loading in MIMO BICM-OFDM Systems using Channel Prediction


Carlo Mutti, Dirk Dahlhaus, and Christian Mensing


IEEE Transactions on Communications, July 2007, submitted.

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We derive power adaptation strategies optimizing the bit-error rates of multiple-input multiple-output (MIMO) bit-interleaved coded modulation (BICM) orthogonal frequency-division multiplexing (OFDM) systems performing hard-decisions at the receiver. The adaptive subcarrier power allocation is based on either perfect or outdated channel state information (CSI) and a singular value decomposition (SVD). The transmission based on an SVD is sensitive to imperfect CSI at the receiver and imperfect and/or outdated CSI at the transmitter. A Wiener channel predictor is proposed to enhance the performance of the system in a possible combination with the adaptive power loading scheme. A simple channel estimation scheme is proposed, and combined with channel prediction. Numerical results in a slowly time-varying environment based on a classical Jakes Doppler spectrum indicate that a significant performance improvement results from the channel prediction at the transmitter.

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