Modified Artificial Fish Swarm Algorithm for Peak to Average Power Ratio Reduction in OFDM Systems

A. M. S. Tekanyi, Abubilal K. A., Abbas A., Salawudeen A. T.

Abstract


The multi-carrier Orthogonal Frequency Division Multiplexing (OFDM) technique suffers high Peak-to-Average Power Ratio (PAPR) that causes nonlinear signal distortion and reduction of power efficiency. But due to the non-linear optimization problem of the phase factor sequence selection, selecting its right sequence that gives minimal PAPR is the major challenge of Partial Transmit Sequence (PTS) technique widely used to reduce PAPR in the transmit data. PTS also suffers high complexity and inadequate memory when there is a large number of non-overlapping sub-blocks in one symbol. This research developed a modified Artificial Fish Swarm Algorithm (mAFSA) based PTS technique that generated the right optimum phase factor sequence for the least PAPR. The techniques were implemented in MATLAB R2015a and simulations were carried out using Complementary Cumulative Density Function (CCDF) metric to evaluate their performances. The mAFSA based PTS outperformed the standard AFSA (sAFSA) in PAPR reduction by 7.14%, 3.48%, and 3.23% when the number of subcarriers were 32, 128, and 256 respectively. Furthermore when compared with the PTS only technique, mAFSA based PTS had an improved performance in PAPR reduction of 87.50%, 82.76%, and 77.42% when the number of subcarriers were 32, 128, and 256 respectively.


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References


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