Reduction of Power Envelope Fluctuations in OFDM Signals by using Neural Networks

作者：Jabrane Younes; Gil Jimenez Victor P; Garcia Armada Ana; Said Brahim Ait Es; Ouahman Abdellah Ait

来源：IEEE Communications Letters, 2010, 14(7): 599-601.

DOI：10.1109/LCOMM.2010.07.100385

• OFDM
• PAPR
• cubic metric
• neural networks

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.

• 出版日期2010-7