A Novel Distributive Population-Based Differential Evolution Algorithm for SLM Scheme to Reduce PAPR in Massive MIMO-OFDM Systems

Abstract

To achieve the ever rising demand for high data rates with high spectral efficiency, the energy efficient massive Multiple Input Multiple Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) will be essential and useful for future wireless communication systems as well as Industrial network applications to reduce the operational costs significantly. But the high Peak to Average Power Ratio (PAPR) in a massive MIMO-OFDM system is identified as a critical issue that causes the non-linear signal distortion and restricts the efficiency of the power amplifier. Among different PAPR reduction schemes, Selected Mapping (SLM) is a distortionless technique and highly attractive due to its simple implementation capability. However, the conventional SLM scheme is inefficient for the massive MIMO-OFDM antenna system for its enormous Side Information (SI) burden and large computational complexity to search the best set of phase factors. In this paper, a Distributive Population based Switching Differential Evolution strategy is incorporated in the SLM scheme which eventually enhances the searching ability. The algorithm is employed in different antenna grouping (homogeneous and heterogeneous) based massive MIMO systems. The antenna grouping concept in the massive MIMO system minimizes the SI burden. The proposed algorithm for SLM techniques outperforms the existing techniques in terms of PAPR, Bit Error Rate, SI burden, energy efficiency and computational complexity.

Deep improved bidirectional long short‐term memory‐based antenna selection for multiple input multiple output software defined radio system

“…In 2020, Rakshit et al 2 In the SLM scheme, a DPSDE approach was implemented that finally improved the ability for searches. Moreover, this approach was used in huge MIMO systems with varied antenna collaboration consisting of heterogeneous as well as homogeneous.…”

“…Though the author achieved considerable SNR gain with the SB‐MLSC 9 technique, still concerning the coherence time of the channel is complicated. With the SLM 2 approach, the author achieved minimized computational complexity but it requires designing the antenna collective SLM approach on the MIMO system. The author accomplished less matching error with CO‐MM 6 .…”

“…Antenna systems are extensively used in a variety of programs, including smart buildings, public transit, astronomy, retail malls, car radar, aeroplane landing, and satellite communications 1 . Over the last several decades, there has also been a surge in research in multiple input multiple output (MIMO) system technology in the field of wireless communication 2 . To address this issue, software defined radio (SDR) is introduced for the next‐generation communication that prevents the hardware restriction issue.…”

Performance evaluation of a multicarrier MIMO system based on DFT-precoding and subcarrier mapping

“…A PAPR reduction technique in a MIMO-OFDM system has recently been proposed in [22] wherein, a hybrid approach combining turbo coding and enhanced switching differential algorithm-based partial transmit sequence is considered to accomplish PAPR as well as BER reduction. The authors of [22] also propose another approach in [23] for massive MIMO-OFDM systems by incorporating a distributive population-based switching differential evolution strategy in the selected matching technique that also achieves significant PAPR reduction. In both the cases, the specific methodology to accomplish reduction in PAPR (and BER) is however, considerably different as compared to what we are accomplishing in this study.…”