Performance estimation of multicarrier CDMA using adaptive brain storm optimization for 5G communication system in frequency selective fading channel

Multicarrier code-division multiple access (MC-CDMA) is an efficient method for high-speed data transmission. MC-CDMA systems are mostly affected with high peak-to-average power ratio (PAPR) and this may reduce the spectral efficiency of the system. This paper presented the PAPR reduction of a MC-CDMA using partial transmit sequence (PTS) method via whale optimization algorithm (WOA) and modified brain storm optimization (MBSO). For quadrature phase-shift keying (QPSK) modulation, our proposed method uses pseudorandom sequence (PRS) at dissimilar amount of active users. MBSO algorithm optimizes time delay and carrier frequency offset (CFO), and thus, we can minimizes the intercarrier interference from the carrier signal. Thus, we can achieve high-speed data transmission in MC-CDMA with PTS system. The results show that 64-bit QPSK has superior performances in case of bit error rate, PAPR, spectral efficiency, maximum likelihood sequence estimation, normalized mean square error, minimum mean square error, CFO, and mean square error. Hence, the performance variations for the abovementioned parameters are 60%, 23%, 12%, 15%, 40%, 5%, 14%, and 3%, respectively. These all the outcomes are taken for dissimilar modulation and the different channels.