Fusion of Adaptive SLM Technique with Companding for PAPR reduction in 5G MIMO-OFDM System

Nowadays, Multiple Input Multiple Output (MIMO) along with Orthogonal Frequency Division Multiplexing (OFDM) is a key technique in wireless communication systems. OFDM is widely used in 4G and 5G technologies, underwater communications, wireless local area networks (LANs), etc. to achieve high data rates, great spectrum efficiency, and low complexity in design. High Peak-to-Average Power Ratio is the main flaw of an OFDM system (PAPR). Multiple subcarriers are added to the OFDM system constructively, increasing the system's PAPR. The Selective Mapping (SLM) methodology has been shown to be one of the most effective PAPR reduction methods currently among different reduction techniques. This method's fundamental problem is that it transmits side band information along with each data block to notify the receiver about the sequence chosen, which increases the computational complexity. Therefore, adaptive Selective Mapping (SLM) technique which reduces computational complexity is proposed. In the literature survey, it is observed that the Companding technique offers better PAPR reduction. We proposed a hybrid technique in fusion with adaptive SLM and Companding. When compared to the standard strategy, the proposed method significantly reduces both the computational complexity and the PAPR while only slightly deteriorating the bit error rate (BER). According to simulation results, the designed methodology lowers the PAPR to 1.52 dB at CCDF of 10^-2.