Advanced switching DE algorithm based PTS companding technique for PAPR reduction in OFDM systems

被引:0
作者
Mahua Rakshit
Subhankar Bhattacharjee
Gautam Garai
Amlan Chakrabarti
机构
[1] University of Calcutta,A.K. Choudhury School of Information Technology
[2] Techno International New Town,Department of Electronics and Communication Engineering
[3] Saha Institute of Nuclear Physics,Computational Science Division
来源
Telecommunication Systems | 2021年 / 77卷
关键词
ASDE; Complementary Cumulative Distribution Function; Companding; OFDM; PTS; PAPR;
D O I
暂无
中图分类号
学科分类号
摘要
Partial Transmit Sequence (PTS) is an efficient method for diminishing the high Peak to Average Power Ratio (PAPR) for Orthogonal Frequency Division Multiplexing (OFDM) system. However, finding an optimum phase factor among different combinations of phase factors, rigorous searching is required. It ultimately increases the computational complexity. For practical implementation high computational complexity becomes crucial problem when a huge number of subcarriers are used in PTS based PAPR reduction technique for OFDM system. Hence, to reduce computational load an Advanced Switching Differential Evolution (ASDE) algorithm is incorporated in PTS scheme. In the proposed approach an optimized switching DE algorithm enhances computational efficiency. But, the PAPR reduction performance becomes poorer compared to conventional PTS scheme. To further reduce PAPR, two thresholds based μ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mu $$\end{document} law companding technique is incorporated along with ASDE PTS for OFDM system. The Matlab simulation revealed that, the proposed scheme performed better PAPR reduction and Bit Error Rate performance with less complexity compared to other relevant techniques.
引用
收藏
页码:109 / 128
页数:19
相关论文
共 115 条
[31]  
Al-Shabili A(2012)An adaptive differential evolution algorithm with novel mutation and crossover strategies for global numerical optimization IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 57 329-260
[32]  
Almoosa N(2013)On convergence of differential evolution over a class of continuous functions with unique global optimum IEEE Transactions on Cybernetics 29 245-1839
[33]  
Abd-Alhameed R(2017)Differential evolution with ranking-based mutation operators Applied Soft Computing 45 1821-1342
[34]  
Jeng S(2018)A switched parameter differential evolution with optional blending crossover for scalable numerical optimization Physical Communication 17 1331-undefined
[35]  
Chen J(2020)Modified switching DE algorithm to facilitate reduction of PAPR in OFDM systems Arabian Journal for Science and Engineering undefined undefined-undefined
[36]  
DelMarco SP(2018)Hybrid turbo coding PTS with enhanced switching algorithm employing de to carry out reduction in PAPR in aul-based mimo-OFDM IEEE Transactions on Wireless Communications undefined undefined-undefined
[37]  
Wang Y(undefined)Iterative demodulation and decoding algorithm for 3g pp/lte-a mimo-ofdm using distribution approximation undefined undefined undefined-undefined
[38]  
Ge J(undefined)undefined undefined undefined undefined-undefined
[39]  
Wang L(undefined)undefined undefined undefined undefined-undefined
[40]  
Li J(undefined)undefined undefined undefined undefined-undefined