Title :
Sub-optimum peak reduction carriers for OFDM systems
Author :
Tan, C.E. ; Wassell, I.J.
Author_Institution :
Dept. of Eng., Cambridge Univ., UK
Abstract :
We propose to use a genetic algorithm for generating sub-optimum peak reduction carriers (PRCs) for OFDM systems employing a large number of sub-channels. Applying a genetic algorithm with optimum system parameters will dramatically reduce the overall computational complexity required to find the appropriate PRCs. Parameters such as the initial population size the number of PRCs, the QAM constellation size for the PRCs and position of the PRCs are the important factors which need to be considered in order to effectively apply the genetic algorithm for PAPR reduction.
Keywords :
OFDM modulation; computational complexity; genetic algorithms; quadrature amplitude modulation; OFDM system; PAPR reduction; QAM constellation size; computational complexity; genetic algorithm; initial population size; optimum system parameter; suboptimum peak reduction carrier; Computational complexity; Costs; Genetic algorithms; Laboratories; OFDM; Partial response channels; Peak to average power ratio; Quadrature amplitude modulation; Signal processing algorithms; Transmitters;
Conference_Titel :
Vehicular Technology Conference, 2003. VTC 2003-Spring. The 57th IEEE Semiannual
Print_ISBN :
0-7803-7757-5
DOI :
10.1109/VETECS.2003.1207814
