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PAPR reduction using twin symbol hybrid optimization-based PTS and multi-chaotic-DFT sequence-based encryption in CP-OFDM system
Photonic Network Communications ( IF 1.7 ) Pub Date : 2021-01-29 , DOI: 10.1007/s11107-020-00923-7
Mrinmoy Sarkar , Asok Kumar , Bansibadan Maji

Orthogonal frequency division multiplexing (OFDM) is considered as one of the most significant transmission methodologies of the recent past. Moreover, it permits easy demodulation and modulation. To find the new OFDM-based waveform to be used in fifth generation which is one of the foremost open issues for wireless networks of the next generation. In addition, the OFDM is affected by the maximum Peak-to-Average Power Ratio (PAPR). In order to minimize these problems, this paper proposed a Twin Symbol Hybrid Optimization used as a basis of the Partial Transmit Sequence (TSHO-PTS) method of Cyclic Prefix-OFDM (CP-OFDM). This CP-OFDM achieves the requirements of 5G telecommunication standards. Moreover, the exhaustive searching for optimal phase factors might increase the computational cost of PTS. To beat this problem, a hybrid version of slap swarm optimization (SSO) and Bald Eagle Search (BES) algorithm is introduced to investigate the phase factor optimally by the PTS method. Digital chaotic sequences are used to ensure the physical layer security during the data transmission scheme for the Discrete Fourier Transform Spread OFDM (DFT-S-OFDM) subcarrier allocation. The simulation takes place in the MATLAB platform, and the performances are evaluated by several performance metrics like Complementary cumulative distribution function (CCDF), Bit Error Rate (BER), and computational complexity. The performance of the proposed model is compared with various existing approaches and previous works. From the implemented results, the proposed strategy achieved less (5 dB) PAPR, minimum (10–8) BER, less processing time (0.18 s) than the existing schemes, and hence the complexity also very low (7%) than others.



中文翻译:

在CP-OFDM系统中使用基于双符号混合优化的PTS和基于多混沌DFT序列的加密来降低PAPR

正交频分复用(OFDM)被认为是最近最重要的传输方法之一。而且,它允许容易的解调和调制。寻找用于第五代的新的基于OFDM的波形,这是下一代无线网络最重要的开放问题之一。另外,OFDM受最大峰均功率比(PAPR)的影响。为了最大程度地减少这些问题,本文提出了一种双符号混合优化算法,作为循环前缀OFDM(CP-OFDM)的部分发送序列(TSHO-PTS)方法的基础。该CP-OFDM达到了5G电信标准的要求。此外,穷举搜索最佳相位因子可能会增加PTS的计算成本。为了解决这个问题,引入了拍打群优化(SSO)和秃头搜索(BES)算法的混合版本,以通过PTS方法最优地研究相位因子。数字混沌序列用于确保在离散傅里叶变换扩展OFDM(DFT-S-OFDM)子载波分配的数据传输方案期间的物理层安全性。仿真是在MATLAB平台上进行的,其性能通过诸如互补累积分布函数(CCDF),误码率(BER)和计算复杂度之类的几种性能指标进行评估。将该模型的性能与各种现有方法和以前的工作进行了比较。从实施的结果来看,拟议的策略可实现更少(5 dB)的PAPR,最小值(10 数字混沌序列用于确保在离散傅里叶变换扩展OFDM(DFT-S-OFDM)子载波分配的数据传输方案期间的物理层安全性。仿真是在MATLAB平台上进行的,其性能通过诸如互补累积分布函数(CCDF),误码率(BER)和计算复杂度之类的几种性能指标进行评估。将该模型的性能与各种现有方法和以前的工作进行了比较。从实施的结果来看,拟议的策略可实现更少(5 dB)的PAPR,最小值(10 数字混沌序列用于确保在离散傅里叶变换扩展OFDM(DFT-S-OFDM)子载波分配的数据传输方案期间的物理层安全性。仿真是在MATLAB平台上进行的,其性能通过诸如互补累积分布函数(CCDF),误码率(BER)和计算复杂度之类的几种性能指标进行评估。将该模型的性能与各种现有方法和以前的工作进行了比较。从实施的结果来看,拟议的策略可实现更少(5 dB)的PAPR,最小值(10 并通过几种性能指标(例如互补累积分布函数(CCDF),误码率(BER)和计算复杂性)来评估性能。将该模型的性能与各种现有方法和以前的工作进行了比较。从实施的结果来看,拟议的策略可实现更少(5 dB)的PAPR,最小值(10 并通过几种性能指标(例如互补累积分布函数(CCDF),误码率(BER)和计算复杂性)来评估性能。将该模型的性能与各种现有方法和以前的工作进行了比较。从实施的结果来看,拟议的策略可实现更少(5 dB)的PAPR,最小值(10–8)BER,比现有方案的处理时间(0.18 s)短,因此复杂度也比其他方案低(7%)。

更新日期:2021-01-31
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