Space-time coding and signal processing for MIMO communications
Journal of Computer Science and Technology
Efficient closed-loop schemes for MIMO-OFDM-based WLANs
EURASIP Journal on Applied Signal Processing
BER Performance Evaluation in 2 × 2 MIMO Spatial Multiplexing Systems under Rician Fading Channels
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Performance of non-binary LDPC-based space-time coded OFDM systems over multiple fading channels
CSNA '07 Proceedings of the IASTED International Conference on Communication Systems, Networks, and Applications
Performance of non-binary LDPC-based space-time coded OFDM systems over multiple fading channels
CSNA '07 Proceedings of the IASTED International Conference on Communication Systems, Networks, and Applications
IEEE Journal on Selected Areas in Communications - Special issue on realizing GBPS wireless personal area networks
Space-frequency-coded MIMO OFDM receivers based on Gaussian message passing
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
JSCC based on adaptive segmentation and irregular LDPC for image transmission over wireless channels
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
Multiple LDPC-Encoder Layered Space-Time-Frequency Architectures for OFDM MIMO Multiplexing
Wireless Personal Communications: An International Journal
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We consider the performance analysis and design optimization of low-density parity check (LDPC) coded multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems for high data rate wireless transmission. The tools of density evolution with mixture Gaussian approximations are used to optimize irregular LDPC codes and to compute minimum operational signal-to-noise ratios (SNRs) for ergodic MIMO OFDM channels. In particular, the optimization is done for various MIMO OFDM system configurations, which include a different number of antennas, different channel models, and different demodulation schemes; the optimized performance is compared with the corresponding channel capacity. It is shown that along with the optimized irregular LDPC codes, a turbo iterative receiver that consists of a soft maximum a posteriori (MAP) demodulator and a belief-propagation LDPC decoder can perform within 1 dB from the ergodic capacity of the MIMO OFDM systems under consideration. It is also shown that compared with the optimal MAP demodulator-based receivers, the receivers employing a low-complexity linear minimum mean-square-error soft-interference-cancellation (LMMSE-SIC) demodulator have a small performance loss (