Open Access

ARTICLE

Selective Mapping Scheme for Universal Filtered Multicarrier

Akku Madhusudhan^*, Sudhir Kumar Sharma

Jaipur National University, Jagatpura, Jaipur, 302017, Rajasthan, India

* Corresponding Author: Akku Madhusudhan. Email:

Intelligent Automation & Soft Computing 2023, 36(2), 1273-1282. https://doi.org/10.32604/iasc.2023.030765

Received 01 April 2022; Accepted 22 June 2022; Issue published 05 January 2023

Abstract

The next step in mobile communication technology, known as 5G, is set to go live in a number of countries in the near future. New wireless applications have high data rates and mobility requirements, which have posed a challenge to mobile communication technology researchers and designers. 5G systems could benefit from the Universal Filtered Multicarrier (UFMC). UFMC is an alternate waveform to orthogonal frequency-division multiplexing (OFDM), in filtering process is performed for a sub-band of subcarriers rather than the entire band of subcarriers Inter Carrier Interference (ICI) between neighbouring users is reduced via the sub-band filtering process, which reduces out-of-band emissions. However, the UFMC system has a high Peak-to-Average Power Ratio (PAPR), which limits its capabilities. Metaheuristic optimization based Selective mapping (SLM) is used in this paper to optimise the UFMC-PAPR. Based on the cognitive behaviour of crows, the research study suggests an innovative metaheuristic optimization known as Crow Search Algorithm (CSA) for SLM optimization. Compared to the standard UFMC, SLM-UFMC system, and SLM-UFMC with conventional metaheuristic optimization techniques, the suggested technique significantly reduces PAPR. For the UFMC system, the suggested approach has a very low Bit Error Rate (BER).

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Keywords

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