Selective Mapping Scheme for Universal Filtered Multicarrier
作者机构:Jaipur National UniversityJagatpuraJaipur302017RajasthanIndia
出 版 物:《Intelligent Automation & Soft Computing》 (智能自动化与软计算(英文))
年 卷 期:2023年第36卷第5期
页 面:1273-1282页
核心收录:
学科分类:0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学]
主 题:-Universalfiltered multicarrier(UFMC) selective mapping(SLM) metaheuristic optimization crow search algorithm(CSA) bit error rate(BER)
摘 要:The next step in mobile communication technology,known as 5G,is set to go live in a number of countries in the near *** wireless applica-tions have high data rates and mobility requirements,which have posed a chal-lenge 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),infiltering 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-bandfiltering process,which reduces out-of-band ***,the UFMC system has a high Peak-to-Average Power Ratio(PAPR),which limits its *** optimization based Selective mapping(SLM)is used in this paper to optimise the *** on the cognitive behaviour of crows,the research study suggests an innovative metaheuristic opti-mization known as Crow Search Algorithm(CSA)for SLM ***-pared to the standard UFMC,SLM-UFMC system,and SLM-UFMC with conventional metaheuristic optimization techniques,the suggested technique sig-nificantly reduces *** the UFMC system,the suggested approach has a very low Bit Error Rate(BER).