{"id":"https://openalex.org/W2996757722","doi":"https://doi.org/10.1109/wcsp.2019.8927987","title":"Waveform Optimization for Non-orthogonal CP-FBMA System","display_name":"Waveform Optimization for Non-orthogonal CP-FBMA System","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2996757722","doi":"https://doi.org/10.1109/wcsp.2019.8927987","mag":"2996757722"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp.2019.8927987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2019.8927987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050864431","display_name":"Yuhao Qi","orcid":"https://orcid.org/0000-0002-7552-3346"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhao Qi","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, P. R. China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056446385","display_name":"Jian Dang","orcid":"https://orcid.org/0000-0002-4199-9645"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Dang","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, P. R. China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027587940","display_name":"Zaichen Zhang","orcid":"https://orcid.org/0000-0003-4301-8713"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zaichen Zhang","raw_affiliation_strings":["Purple Mountain Laboratories, Nanjing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purple Mountain Laboratories, Nanjing, P. R. China","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044817346","display_name":"Liang Wu","orcid":"https://orcid.org/0000-0001-9054-0155"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Wu","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, P. R. China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2422,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57770603,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11873","display_name":"PAPR reduction in OFDM","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11873","display_name":"PAPR reduction in OFDM","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10575","display_name":"Wireless Communication Networks Research","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10232","display_name":"Optical Network Technologies","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.8748599290847778},{"id":"https://openalex.org/keywords/cyclic-prefix","display_name":"Cyclic prefix","score":0.8371933102607727},{"id":"https://openalex.org/keywords/orthogonality","display_name":"Orthogonality","score":0.822741687297821},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.6078059673309326},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5728417634963989},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5696943998336792},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.5695589780807495},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.4462965130805969},{"id":"https://openalex.org/keywords/block-error-rate","display_name":"Block Error Rate","score":0.4397863447666168},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4222789406776428},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.42227500677108765},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.33095142245292664},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3156704604625702},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.2595236897468567},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.24904108047485352},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20942974090576172},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1314692497253418},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.12926867604255676}],"concepts":[{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.8748599290847778},{"id":"https://openalex.org/C2778775284","wikidata":"https://www.wikidata.org/wiki/Q5198224","display_name":"Cyclic prefix","level":4,"score":0.8371933102607727},{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.822741687297821},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.6078059673309326},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5728417634963989},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5696943998336792},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.5695589780807495},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.4462965130805969},{"id":"https://openalex.org/C2776639698","wikidata":"https://www.wikidata.org/wiki/Q4927140","display_name":"Block Error Rate","level":3,"score":0.4397863447666168},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4222789406776428},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.42227500677108765},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.33095142245292664},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3156704604625702},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.2595236897468567},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.24904108047485352},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20942974090576172},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1314692497253418},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.12926867604255676},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp.2019.8927987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2019.8927987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2000006997","https://openalex.org/W2033218641","https://openalex.org/W2075505133","https://openalex.org/W2123899511","https://openalex.org/W2163844889","https://openalex.org/W2621893819","https://openalex.org/W2769222834","https://openalex.org/W2907434204","https://openalex.org/W2914262152"],"related_works":["https://openalex.org/W2757539223","https://openalex.org/W158702186","https://openalex.org/W2619937766","https://openalex.org/W2545305163","https://openalex.org/W4386932927","https://openalex.org/W4383502034","https://openalex.org/W2950995803","https://openalex.org/W1523217822","https://openalex.org/W2166907958","https://openalex.org/W1216053005"],"abstract_inverted_index":{"Filter":[0],"bank":[1,114],"multiple":[2],"access":[3],"(FBMA)":[4],"without":[5],"subbands":[6],"orthogonality":[7],"has":[8,38,69],"been":[9,39,71],"proposed":[10,130],"as":[11,46],"a":[12,82,148],"new":[13,83],"waveform":[14,75,85,131],"to":[15,41,49,80,116],"better":[16],"cater":[17],"the":[18,29,47,64,67,90,94,111,129,143,155,159],"requirements":[19],"of":[20,31,66,110,128,158],"future":[21],"wireless":[22],"communication":[23],"systems":[24],"and":[25,58,124,151],"scenarios.":[26],"In":[27],"addition,":[28],"usage":[30],"cyclic":[32],"prefix":[33],"(CP)":[34],"in":[35,136],"FBMA":[36],"(CP-FBMA)":[37],"proved":[40],"have":[42],"many":[43],"advantages":[44],"such":[45],"ability":[48],"process":[50],"complex":[51],"signals,":[52],"lower":[53],"peak-to-average":[54],"power":[55],"ratio":[56],"(PAPR)":[57],"bit":[59],"error":[60],"rate":[61,157],"(BER).":[62],"However,":[63],"non-orthogonality":[65],"system":[68,160],"not":[70],"fully":[72],"exploited":[73],"for":[74,93],"design,":[76],"which":[77],"inspires":[78],"us":[79],"propose":[81],"manifold-based":[84],"optimization":[86,132],"iteration":[87],"algorithm":[88,133,144],"on":[89,107],"full":[91,99],"band":[92,100],"non-orthogonal":[95],"CP-FBMA":[96],"system,":[97],"where":[98],"means":[101],"that":[102,142],"there":[103],"is":[104],"no":[105],"restriction":[106],"frequency":[108],"responses":[109],"synthesis":[112],"filter":[113],"(SFB)":[115],"match":[117],"channels":[118],"more":[119],"perfectly.":[120],"Both":[121],"general":[122],"framework":[123],"detailed":[125],"derivation":[126],"processes":[127],"are":[134],"presented":[135],"this":[137],"paper.":[138],"Numerical":[139],"results":[140],"show":[141],"converges":[145],"after":[146],"only":[147],"few":[149],"iterations":[150],"it":[152],"can":[153],"improve":[154],"sum":[156],"dramatically.":[161]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}