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Reduction of power envelope fluctuations in OFDM signals by using neural networks

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URI: https://hdl.handle.net/10016/14425
ISSN: 1089-7798
DOI: 10.1109/LCOMM.2010.07.100385
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reduction_jabrane_IEEECL_2010_ps.pdf (253.99 KB)
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2010-07
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IEEE
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Abstract
One of the main drawbacks of Orthogonal Frequency Division Multiplexing (OFDM) are the large fluctuations of its power envelope. In this letter, a novel and efficient scheme based on Multilayer Perceptron (MLP) Neural Networks (NN) is proposed. The NN synthesizes the Active Constellation Expansion - (ACE) technique which is able to drastically reduce envelope fluctuations. This is achieved with much lower complexity, faster convergence, and better performance compared to previously available methods.
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OFDM, PAPR, Cubic metric, Neural networks
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IEEE Communications Letters, (July 2010), 14(7), 599-601
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