An intelligent optimization algorithm for power control in wireless communication systems

Authors:
Jing Gao;Jinkuan Wang;Bin Wang;Xin Song
Affiliations:
School of Information Science & Engineering, Northeastern University, Shenyang, China;School of Information Science & Engineering, Northeastern University, Shenyang, China;School of Information Science & Engineering, Northeastern University, Shenyang, China;School of Information Science & Engineering, Northeastern University, Shenyang, China
Venue:
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
Year:
2013

Citing 1
Cited 0

Novel conversion matrices for simplifying the IFFT computation of an SLM-based PAPR reduction scheme for OFDM systems

IEEE Transactions on Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

High instantaneous peak power of the transmitted signals is the main obstacle of orthogonal frequency division multiplexing (OFDM) systems for its application, therefore, the peak to average power ratio (PAPR) reduction has been one of the most important technologies. Among all the existing methods, partial transmit sequences (PTS) is a distortionless phase optimization technique that significantly improves PAPR performance to with a small amount of redundancy. However, the computational complexity in conventional PTS increases exponentially with the number of subblocks. In this paper, an intelligent optimization method is proposed for PTS technique to obtain good balance between computational complexity and PAPR performance. Simulation results show that the proposed method can achieve better performance compared with conventional algorithms.