
PAPR Reduction for FBMC Systems with Ant Bee Colony Optimization
Author(s) -
V Sudharshini Kataksham,
P. Siddaiah
Publication year - 2021
Publication title -
international journal of advanced trends in computer science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3091
DOI - 10.30534/ijatcse/2021/631012021
Subject(s) - ant colony optimization algorithms , computer science , filter bank , reduction (mathematics) , wireless , artificial bee colony algorithm , offset (computer science) , transmission (telecommunications) , telecommunications , channel (broadcasting) , algorithm , mathematics , artificial intelligence , geometry , programming language
Multi carrier systems are most prevalent modern wireless communication systems which are employed for high data rate transmission. At present, FBMC (Filter bank multi carrier) with OQAM (Offset-QAM) has drawing attention for many researchers to implement new physical layers and wireless protocols. As in the case of multi carrier system, this FBMC also suffers from high PAPR, so this paper presents a PAPR reduction approach with ant bee colony (ABC) optimization. ABC algorithm functionality is similar to honey mining where the labor is shared for nectar source and hence find out the optimal solution. Experimental results shows that the proposed approach could able to attain considerable improvement in decreasing the PAPR whencompared against the conventional FBMC and SLM (selective mapping method) based FBMC approaches.