Time Reduction for SLM OFDM PAPR Based on Adaptive Genetic Algorithm in 5G IoT Networks
Open Access
Abstract
In this paper, a new peak average power and time reduction (PAPTR) based on the adaptive genetic algorithm (AGA) strategy is used in order to improve both the time reduction and PAPR value reduction for the SLM OFDM and the conventional genetic algorithm (GA) SLM-OFDM. The simulation results demonstrate that the recommended AGA technique reduces PAPR by about 3.87 dB in comparison to SLM-OFDM. Comparing the suggested AGA SLM-OFDM to the traditional GA SLM-OFDM using the same settings, a significant learning time reduction of roughly 95.56% is achieved. The PAPR of the proposed AGA SLM-OFDM is enhanced by around 3.87 dB in comparison to traditional OFDM. Also, the PAPR of the proposed AGA SLM-OFDM is roughly 0.12 dB worse than that of the conventional GA SLM-OFDM.Keywords
Funding Information
- King Saud University (RSP2023R260)
This publication has 21 references indexed in Scilit:
- Network Slicing Based 5G and Future Mobile Networks: Mobility, Resource Management, and ChallengesIEEE Communications Magazine, 2017
- Signal Processing for 5G2016
- PAPR Analysis of Class-III SLM Scheme Based on Variance of Correlation of Alternative OFDM Signal SequencesIEEE Communications Letters, 2015
- Genetic Algorithm Based Nearly Optimal Peak Reduction Tone Set Selection for Adaptive Amplitude Clipping PAPR ReductionIEEE Transactions on Broadcasting, 2012
- Allele Gene Based Adaptive Genetic Algorithm to the Code DesignIEEE Transactions on Communications, 2011
- Self-learning fuzzy logic controllers for pursuit–evasion differential gamesRobotics and Autonomous Systems, 2010
- Genetic based fuzzy logic controller for a wall-following mobile robot2009
- Analysis of Clipping Noise and Tone-Reservation Algorithms for Peak Reduction in OFDM SystemsIEEE Transactions on Vehicular Technology, 2008
- PAPR Reduction of an OFDM Signal by Use of PTS With Low Computational ComplexityIEEE Transactions on Broadcasting, 2006
- Effects of clipping and filtering on the performance of OFDMIEEE Communications Letters, 1998