Title :
Immune Evolutionary Algorithm to Reduce PAPR of OFDM Signals Using PTS Technique
Author :
Hou, Jun ; Ge, Jianhua ; Huang, Songtao
Author_Institution :
State Key Lab. of Integrated Services Networks, Xidian Univ., Xi´´an, China
Abstract :
Partial transmit sequences (PTS) is a distortionless phase optimization technique that significantly improves peak-to-average power ratio (PAPR) performance with a small amount of redundancy for orthogonal frequency division multiplexing (OFDM) systems. However, the computational complexity in conventional PTS increases exponentially with the number of subblocks. In this paper, a novel global parallel algorithm, combining the immune and versatile evolutionary mechanism, is proposed for PTS technique to reduce computational complexity and improve PAPR performance. The proposed scheme restrains the degenerate phenomenon effectively during the evolutionary process, thus making the fitness of population increase steadily. The simulation results show that the proposed scheme achieves significant PAPR reduction while maintaining low complexity.
Keywords :
OFDM modulation; artificial immune systems; computational complexity; evolutionary computation; parallel algorithms; sequences; OFDM signals; PAPR reduction; PTS technique; computational complexity; distortionless phase optimization technique; immune evolutionary algorithm; orthogonal frequency division multiplexing system; partial transmit sequences; peak-to-average power ratio; versatile evolutionary mechanism; Computational complexity; Evolutionary computation; Optimization; Partial transmit sequences; Peak to average power ratio;
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
Conference_Location :
Houston, TX, USA
Print_ISBN :
978-1-4244-9266-4
Electronic_ISBN :
1930-529X
DOI :
10.1109/GLOCOM.2011.6133525