Bit-interleaved coded modulation
IEEE Transactions on Information Theory
Space-time block codes from orthogonal designs
IEEE Transactions on Information Theory
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
A stochastic MIMO radio channel model with experimental validation
IEEE Journal on Selected Areas in Communications
A novel link performance prediction method for coded MIMO-OFDM systems
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
A simple SNR representation method for AMC schemes of MIMO systems with ML detector
IEEE Transactions on Communications
IEEE Transactions on Wireless Communications
Adaptation using neural network in frequency selective MIMO-OFDM systems
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
Cross-Layer Fast Link Adaptation for MIMO-OFDM Based WLANs
Wireless Personal Communications: An International Journal
On Opportunistic Power Control for Alamouti and SM MIMO Systems
Wireless Personal Communications: An International Journal
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In this paper, the problem of packet error rate (PER) prediction is addressed in the multiple-antenna broadband OFDM context, and its impact on adaptive modulation and coding (AMC) is quantified. The analysis is based on a physical layer comprising various modulation and coding schemes, ranging from robust space-time block coding (STBC) modes to high bit rate spatial division multiplexing (SDM) modes, and also hybrid SDM-STBC schemes. For each mode the expression of several link quality metrics (LQM) enabling PER prediction in the broadband OFDM channel, such as instantaneous signal-to-noise ratio (SNR), capacity, or exponential effective SNR metrics are provided. Their advantages and limitations are investigated. Finally, their performance is benchmarked in the IEEE 802.11a/g/n context. It is shown that the choice of the LQM has a significant impact on the throughput performance of the AMC algorithm.