OFDM for Wireless Multimedia Communications
OFDM for Wireless Multimedia Communications
Error prediction for adaptive modulation and coding in multiple-antenna OFDM systems
Signal Processing - Special section: Advances in signal processing-assisted cross-layer designs
Introduction to Space-Time Wireless Communications
Introduction to Space-Time Wireless Communications
Space-time bit-interleaved coded modulation for OFDM systems
IEEE Transactions on Signal Processing
Bit-interleaved coded modulation
IEEE Transactions on Information Theory
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
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Adaptive modulation and coding (AMC) is a powerful technique to enhance the link performance by adjusting the transmission power, channel coding rates and modulation levels according to channel state information. In order to efficiently utilize the AMC scheme, an accurate signal-to-noise ratio (SNR) value is normally required for determining the AMC level. In this paper, we propose a simple method to represent the SNR values for maximum likelihood (ML) detector in multi-input multi-output (MIMO) systems. By analyzing the relation between the upper bound and the lower bound of the ML detector performance, we introduce an efficient way to determine the SNR for the ML receiver. Based on the proposed SNR representation, an AMC scheme for single antenna systems can be extended to MIMO systems with ML detector. From computer simulations, we confirm that the proposed SNR representation allows us to achieve almost the same system throughput as the optimum AMC systems in frequency selective channels with reduced complexity.