Selective Mapping Scheme for Universal Filtered Multicarrier  

作　　者：Akku Madhusudhan Sudhir Kumar Sharma 

机构地区：[1]Jaipur National University,Jagatpura,Jaipur,302017,Rajasthan,India

出　　处：《Intelligent Automation & Soft Computing》2023年第5期1273-1282,共10页智能自动化与软计算（英文）

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 future.New 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 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 opti-mization known as Crow Search Algorithm(CSA)for SLM optimization.Com-pared to the standard UFMC,SLM-UFMC system,and SLM-UFMC with conventional metaheuristic optimization techniques,the suggested technique sig-nificantly reduces PAPR.For the UFMC system,the suggested approach has a very low Bit Error Rate(BER).

关 键 词：-Universalfiltered multicarrier(UFMC) selective mapping(SLM) metaheuristic optimization crow search algorithm(CSA) bit error rate(BER) 

分 类 号：TN91[电子电信—通信与信息系统]