PAPR Minimization of FBMC/OQAM Scheme by Hybrid SLM and PTS Using Artificial: Bee-Colony Phase—Optimization

Abstract

FBMC/OQAM (Filter-bank-multicarrier) scheme is one of the promising multicarrier modulation techniques of the 5G transmission system. Despite, many advantages of the FBMC/OQAM system compared to the OFDM system (orthogonal-frequency-division-multiplexing) it experiences some drawbacks also among which high peak-to-average-power-ratio (PAPR) is one of the prime disadvantages. In the FBMC system, the subcarriers are filtered in groups and because of the overlapping nature of the signal, conventional PAPR minimization techniques cannot work effectively. The efficiency of the FBMC/OQAM scheme also decreases because of high peak power. In this proposed technique, we elucidate the drawback of high PAPR by reducing it for every overlapping information symbol with the lower amalgamation of optimum phase factors by applying the Artificial Bee Colony (ABC) process. The proposed hybrid SLM-PTS (Selective level mapping—partial transmit sequence) with ABC phase optimization technique can significantly minimize the PAPR with a lower computational complexity which can be proved from the simulation outcomes. From simulation outcomes, it is revealed that the proposed technique provides improved PAPR performance besides at CCDF PAPR is minimized to 1.8 dB evaluated to the traditional PTS scheme. The proposed technique also gives the least computational complexity as compared to the traditional PTS technique which is 0.66% and 4.24% for “R” patterns of phase factors 50 and 350 correspondingly.