Fast Link Adaptation for MIMO-OFDM

Tobias Lindstrøm Jensen, Shashi Kant, Joachim Wehinger, Bernard Henri Fleury

Research output: Contribution to journalJournal articleResearchpeer-review

55 Citations (Scopus)
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Abstract

We investigate link-quality metrics (LQMs) based on raw bit-error-rate, effective signal-to-interference-plus-noise ratio, and mutual information (MI) for the purpose of fast link adaptation (LA) in communication systems employing orthogonal frequency-division multiplexing and multiple-input–multipleoutput (MIMO) antenna technology. From these LQMs, the packet error rate (PER) can be estimated and exploited to select the modulation and coding scheme (MCS) among a class of candidate MCSs that achieves the maximum throughput for the
current channel state under a specified target PER objective. We propose a novel MI-based LQM and compare the PER-estimation accuracy obtained with this LQM with that resulting from using other LQMs bymeans of Comprehensive Monte Carlo simulations. Search methods for the MCS in the class that is most suitable for a given channel state are presented. An algorithm for obtaining a practical upper bound on the throughput of any LA scheme is proposed. The investigated LQMs are applied to the IEEE 802.11n standard with a 2 × 2 MIMO configuration and practical channel estimation. The proposed MI-based LQM yields the highest PER estimation accuracy, and its throughput shows only 1.7 dB signalto-noise-ratio (SNR) loss with respect to the upper bound but up to 9.5 dB SNR gain, compared to the MCS maximizing the throughput for the current noise variance.
Original languageEnglish
JournalI E E E Transactions on Vehicular Technology
Volume59
Issue number8
Pages (from-to)3766 - 3778
ISSN0018-9545
DOIs
Publication statusPublished - 21 Jun 2010

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Link Adaptation
Orthogonal Frequency Division multiplexing (OFDM)
Orthogonal frequency division multiplexing
Throughput
Metric
Error Rate
Modulation
Mutual Information
Coding
Channel estimation
Bit error rate
Telecommunication links
Communication systems
Upper bound
Antennas
Multiple Antennas
Channel Estimation
Search Methods
Communication Systems
Monte Carlo Simulation

Cite this

Jensen, Tobias Lindstrøm ; Kant, Shashi ; Wehinger, Joachim ; Fleury, Bernard Henri. / Fast Link Adaptation for MIMO-OFDM. In: I E E E Transactions on Vehicular Technology. 2010 ; Vol. 59, No. 8. pp. 3766 - 3778 .
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Fast Link Adaptation for MIMO-OFDM. / Jensen, Tobias Lindstrøm; Kant, Shashi; Wehinger, Joachim; Fleury, Bernard Henri.

In: I E E E Transactions on Vehicular Technology, Vol. 59, No. 8, 21.06.2010, p. 3766 - 3778 .

Research output: Contribution to journalJournal articleResearchpeer-review

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N2 - We investigate link-quality metrics (LQMs) based on raw bit-error-rate, effective signal-to-interference-plus-noise ratio, and mutual information (MI) for the purpose of fast link adaptation (LA) in communication systems employing orthogonal frequency-division multiplexing and multiple-input–multipleoutput (MIMO) antenna technology. From these LQMs, the packet error rate (PER) can be estimated and exploited to select the modulation and coding scheme (MCS) among a class of candidate MCSs that achieves the maximum throughput for thecurrent channel state under a specified target PER objective. We propose a novel MI-based LQM and compare the PER-estimation accuracy obtained with this LQM with that resulting from using other LQMs bymeans of Comprehensive Monte Carlo simulations. Search methods for the MCS in the class that is most suitable for a given channel state are presented. An algorithm for obtaining a practical upper bound on the throughput of any LA scheme is proposed. The investigated LQMs are applied to the IEEE 802.11n standard with a 2 × 2 MIMO configuration and practical channel estimation. The proposed MI-based LQM yields the highest PER estimation accuracy, and its throughput shows only 1.7 dB signalto-noise-ratio (SNR) loss with respect to the upper bound but up to 9.5 dB SNR gain, compared to the MCS maximizing the throughput for the current noise variance.

AB - We investigate link-quality metrics (LQMs) based on raw bit-error-rate, effective signal-to-interference-plus-noise ratio, and mutual information (MI) for the purpose of fast link adaptation (LA) in communication systems employing orthogonal frequency-division multiplexing and multiple-input–multipleoutput (MIMO) antenna technology. From these LQMs, the packet error rate (PER) can be estimated and exploited to select the modulation and coding scheme (MCS) among a class of candidate MCSs that achieves the maximum throughput for thecurrent channel state under a specified target PER objective. We propose a novel MI-based LQM and compare the PER-estimation accuracy obtained with this LQM with that resulting from using other LQMs bymeans of Comprehensive Monte Carlo simulations. Search methods for the MCS in the class that is most suitable for a given channel state are presented. An algorithm for obtaining a practical upper bound on the throughput of any LA scheme is proposed. The investigated LQMs are applied to the IEEE 802.11n standard with a 2 × 2 MIMO configuration and practical channel estimation. The proposed MI-based LQM yields the highest PER estimation accuracy, and its throughput shows only 1.7 dB signalto-noise-ratio (SNR) loss with respect to the upper bound but up to 9.5 dB SNR gain, compared to the MCS maximizing the throughput for the current noise variance.

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