A Novel Distributive Population-Based Differential Evolution Algorithm for SLM Scheme to Reduce PAPR in Massive MIMO-OFD
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ORIGINAL RESEARCH
A Novel Distributive Population‑Based Differential Evolution Algorithm for SLM Scheme to Reduce PAPR in Massive MIMO‑OFDM Systems Mahua Rakshit1 · Subhankar Bhattacharjee2 · Gautam Garai3 · Amlan Chakrabarti1 Received: 10 April 2020 / Accepted: 24 August 2020 © Springer Nature Singapore Pte Ltd 2020
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. Keywords Massive MIMO-OFDM · Peak to Average Power Ratio · Selected Mapping · Distributive Population based Switching Differential Evolution · Energy efficiency
Introduction In the 5G wireless communication system, the massive Multiple Input Multiple Output (MIMO) contributes a revolutionary improvement due to its capability of providing high data rate, improved link reliability, high throughput and good quality of service. Furthermore, it also provides improved energy efficiency (EE) for higher throughput. A very large number of antenna arrays are employed at the * Mahua Rakshit [email protected] 1
A.K. Choudhury School of Information Technology, University of Calcutta, Kolkata, India
2
Department of Electronics and Communication Engineering, Techno International New Town, Kolkata, India
3
Computational Science Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata 700064, India
Base Station (BS) of a massive MIMO system to assist a much smaller number of single antenna users that share the same time-frequency bandwidth. Such type of arrangement offers a high data rate and a high spectral efficiency. However, it is a great challenge for the researchers to practically implement such a system
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