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dc.contributor.authorWen, Miaowen
dc.contributor.authorLi, Jun
dc.contributor.authorDang, Shuping
dc.contributor.authorLia, Qiang
dc.contributor.authorMumtaz, Shahid
dc.contributor.authorArslan, Huseyin
dc.date.accessioned2021-03-22T06:30:19Z
dc.date.available2021-03-22T06:30:19Z
dc.date.issued2021
dc.identifier.citationWen, M., Li, J., Dang, S., Lia, Q., Mumtaz, S., & Arslan, H. (2021). Joint-Mapping Orthogonal Frequency Division Multiplexing with Subcarrier Number Modulation. IEEE Transactions on Communications, 1–1. doi:10.1109/tcomm.2021.3066584
dc.identifier.issn1558-0857
dc.identifier.doi10.1109/TCOMM.2021.3066584
dc.identifier.urihttp://hdl.handle.net/10754/668180
dc.description.abstractOrthogonal frequency division multiplexing with subcarrier number modulation (OFDM-SNM) has been recently proposed to improve the spectral efficiency (SE) of the traditional OFDM system. In this paper, we propose a joint-mapping OFDM-SNM (JM-OFDM-SNM) scheme to transmit the signal vector with a constant length of information bits by jointly considering the subcarrier activation patterns and constellation symbols. A low-complexity detection scheme based on log-likelihood ratio criterion is proposed to relieve the high computational complexity of the maximum-likelihood detection at the cost of a negligible performance loss. Upper-bounded bit error rate (BER) and lower-bounded achievable rate are both derived in closed-form to evaluate the performance of JM-OFDM-SNM. To suit different application scenarios, we further propose two enhanced schemes, named adaptive JM-OFDM-SNM (AJM-OFDM-SNM) and JM-OFDM with in-phase/quadrature SNM (JM-OFDM-IQ-SNM), where the former adjusts the constellation orders for different numbers of active subcarriers, and the latter extends the indexing to in-phase and quadrature domains. Simulation results corroborate the tightness of the derived BER expression in the high signal-to-noise ratio region and show that (A)JM-OFDM-SNM improves the performance of OFDM-SNM, while both AJM-OFDM-SNM and JM-OFDM-IQ-SNM schemes perform better than JM-OFDM-SNM at the same SE.
dc.description.sponsorshipThis work was supported in part by National Nature Science Foundation of China under Grants 61871190 and 61872102, in part by the International Collaborative Research Program of Guangdong Science and Technology Department under Grant No. 2020A0505100061, in part by the Natural Science Foundation of Guangdong Province under Grant 2018B030306005, in part by the Open Research Fund of the National Mobile Communications Research Laboratory, Southeast University under Grant 2020D03, and in part by the Fundamental Research Funds for the Central Universities under Grant 2019SJ02.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/9380189/
dc.relation.urlhttps://ieeexplore.ieee.org/document/9380189/
dc.relation.urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9380189
dc.rights(c) 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.subjectOrthogonal frequency division multiplexing (OFDM)
dc.subjectsubcarrier number modulation
dc.subjectbit error rate (BER)
dc.subjectjoint mapping
dc.subjectlow-complexity detection
dc.titleJoint-Mapping Orthogonal Frequency Division Multiplexing with Subcarrier Number Modulation
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journalIEEE Transactions on Communications
dc.eprint.versionPost-print
dc.contributor.institutionSchool of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China, and National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China.
dc.contributor.institutionResearch Center of Intelligent Communication Engineering, School of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510006, China.
dc.contributor.institutionCollege of Information Science and Technology, Jinan University, Guangzhou 510632, China.
dc.contributor.institutionInstituto de Telecomunicacoes, 112148 Lisboa, Portugal, and also with ARIES Research Center, Universidad Antonio de Nebrija, C/Pirineos, 55, E-28040, Madrid, Spain.
dc.contributor.institutionDepartment of Electrical Engineering, University of South Florida, Tampa, FL 33620 USA.
dc.identifier.pages1-1
kaust.personDang, Shuping
refterms.dateFOA2021-03-23T07:59:36Z


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