Throughput improvement of incremental redundancy LDPC coded MIMO V-BLAST system
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Joint transceiver design for MIMO communications using geometric mean decomposition
IEEE Transactions on Signal Processing - Part I
Turbo-BLAST for wireless communications: theory and experiments
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Uniform channel decomposition for MIMO communications
IEEE Transactions on Signal Processing
Applications of error-control coding
IEEE Transactions on Information Theory
Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels
IEEE Transactions on Information Theory
Rate-compatible punctured low-density parity-check codes with short block lengths
IEEE Transactions on Information Theory
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By using rate-compatible (RC) low density parity-check (LDPC) codes with adaptive modulation, we propose an adaptive, discrete-rate multiple-input multiple-output (MIMO) communications system. Given the high spectral efficiency of MIMO and the flexibility of an incremental redundancy (IR) protocol, combined with adaptive coding and modulation (ACM), the designed communications system is capable of achieving high data rates, for a low amount of overhead. A novel ACM power- and bit-allocation protocol is proposed to implement this system. We adapt the existing water-filling algorithm (WFA) to the discrete and finite bit rate constraints inherent in any communications system. This constrained WFA is shown to significantly improve the throughput performance of the communications system, over the case where a regular WFA is used. The results given in this paper show that the combination of IR and ACM with MIMO creates a wireless communications system that can easily adapt to channel fluctuations and provide high-data rates.