Adaptive Modulation for MIMO Systems with Channel Prediction Errors

The performance of multiple-input multiple-output (MIMO) systems using spatial multiplexing is analyzed under channel prediction errors. We derive exact closed-form expressions for the conditional and average bit error rate (BER) for both fixed and adaptive modulation. We apply our analysis to desig...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2010-08, Vol.9 (8), p.2516-2527
Main Authors: Fernandez-Plazaola, U, Martos-Naya, E, Paris, J F, Goldsmith, A J
Format: Article
Language:English
Subjects:
adaptive modulation
Array signal processing
Beamforming
Bit error rate
Channels
Closed-form solution
Degradation
Delay estimation
Diversity reception
Errors
Exact solutions
imperfect CSI
Interference
MIMO
Modulation
Multiplexing
Performance analysis
Policies
Studies
Transmitters
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Summary:The performance of multiple-input multiple-output (MIMO) systems using spatial multiplexing is analyzed under channel prediction errors. We derive exact closed-form expressions for the conditional and average bit error rate (BER) for both fixed and adaptive modulation. We apply our analysis to design a rate adaptation policy that optimally adapts antenna use between beamforming and spatial multiplexing. Our results indicate that the prediction error degrades BER in MIMO systems with spatial multiplexing much more than in MIMO systems with beamforming due to the self-interference that arises from channel coupling. In particular, if interference between eigenchannels is high, spatial multiplexing should not utilize the weakest eigenchannels. In our policy, beamforming is used when prediction error is high to avoid interference, whereas multiplexing is used when it is low to achieve the maximum multiplexing gain. We show that this policy improves performance over prior adaptive policies that have been proposed in the literature.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2010.061710.090561