Error prediction for adaptive modulation and coding in multiple-antenna OFDM systems

  • Authors:
  • Sébastien Simoens;Stéphanie Rouquette-Léveil;Philippe Sartori;Yufei Blankenship;Brian Classon

  • Affiliations:
  • Motorola Labs, Parc Les Algorithmes, St-Aubin, Gif sur-Yvette, France;Motorola Labs, Parc Les Algorithmes, St-Aubin, Gif sur-Yvette, France;Motorola Labs, Motorola Inc., Schaumburg, IL;Motorola Labs, Motorola Inc., Schaumburg, IL;Motorola Labs, Motorola Inc., Schaumburg, IL

  • Venue:
  • Signal Processing - Special section: Advances in signal processing-assisted cross-layer designs
  • Year:
  • 2006

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Abstract

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.