Adaptation in Convolutionally Coded MIMO-OFDM Wireless Systems Through Supervised Learning and SNR Ordering

@article{Daniels2010AdaptationIC,
  title={Adaptation in Convolutionally Coded MIMO-OFDM Wireless Systems Through Supervised Learning and SNR Ordering},
  author={Robert C. Daniels and Constantine Caramanis and Robert W. Heath},
  journal={IEEE Transactions on Vehicular Technology},
  year={2010},
  volume={59},
  pages={114-126}
}
Multiple-input-multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) wireless systems use link adaptation to exploit the dynamic nature of wireless environments. Link adaptation maximizes throughput while maintaining target reliability by adaptively selecting the modulation order and coding rate. Link adaptation is extremely challenging, however, due to the difficulty in predicting error rates in OFDM with binary convolutional codes, bit interleaving, MIMO processing, and real… CONTINUE READING
Highly Cited
This paper has 69 citations. REVIEW CITATIONS

12 Figures & Tables

Topics

Statistics

010202009201020112012201320142015201620172018
Citations per Year

69 Citations

Semantic Scholar estimates that this publication has 69 citations based on the available data.

See our FAQ for additional information.