Abbas Ali Sharifi

Orthogonal frequency division multiplexing (OFDM) is a practical approach for indoor optical communications because of its high rate data transmission and high power efficiency. The high peak-to-average power ratio (PAPR) is the main problem of optical OFDM signals which, degrades the system performance due to the LED nonlinearity. Partial transmit sequence (PTS) is the most popular PAPR reduction technique because of its distortionless characteristics and high performance. But, PTS has a high computational complexity, because it requires an exhaustive search to obtain the optimal phase factors. To reduce the search complexity of the PTS, we introduce a new swarm intelligence algorithm, called improved flower pollination (IFP) algorithm. The IFP algorithm is a novel optimization technique derived from the pollination behavior of flowers. The proposed IFP–PTS approach is applied in the asymmetrically clipped optical OFDM (ACO-OFDM) system and evaluated using several PAPR reduction benchmarks and compared with different state-of-the-art approaches in terms of PAPR reduction performance and computational complexity. The results justify the advantages of the IFP–PTS method compared with its counterparts.