Boonsarn Pitakdumrongkija

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This paper proposes a new MIMO-OFDM precoding technique that aims to minimize a bit error rate (BER) upper bound of the maximum likelihood detection (MLD) in mobile radio communications. Using a steepest descent algorithm, the proposed method estimates linear precoding matrices that can minimize the upper bound of BER under power constraints. Since the(More)
In order to realistically model urban micro-cell environments with low base station heights, a measurement campaign has been conducted in the 3.5 3.8 GHz frequency band. The two scenarios of interest are the Urban Micro (UMi) Campus and Open Square scenarios. The findings of this campaign led to a parameter set for the quasi deterministic radio channel(More)
This paper proposes a minimum BER (MBER) based precoder that is robust to imperfect channel state information (CSI) for MIMO-OFDM mobile communications. The proposed MBER precoding aims to minimize BER of the maximum likelihood detection (MLD), on the condition that the transmitter can obtain only imperfect CSI owing to channel estimation and quantization(More)
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