{"id":"https://openalex.org/W4385269885","doi":"https://doi.org/10.1109/eucnc/6gsummit58263.2023.10188367","title":"Non-geometric correlated channel fading model with linear complexity","display_name":"Non-geometric correlated channel fading model with linear complexity","publication_year":2023,"publication_date":"2023-06-06","ids":{"openalex":"https://openalex.org/W4385269885","doi":"https://doi.org/10.1109/eucnc/6gsummit58263.2023.10188367"},"language":"en","primary_location":{"id":"doi:10.1109/eucnc/6gsummit58263.2023.10188367","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/eucnc/6gsummit58263.2023.10188367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)","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/A5073071377","display_name":"Tobias W. Weber","orcid":null},"institutions":[{"id":"https://openalex.org/I2800591879","display_name":"SEW Eurodrive (Germany)","ror":"https://ror.org/03g3xrr94","country_code":"DE","type":"company","lineage":["https://openalex.org/I2800591879"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Tobias W. Weber","raw_affiliation_strings":["Research Technology, SEW-EURODRIVE GmbH&Co.KG,Germany"],"affiliations":[{"raw_affiliation_string":"Research Technology, SEW-EURODRIVE GmbH&Co.KG,Germany","institution_ids":["https://openalex.org/I2800591879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042577762","display_name":"Eike Lyczkowski","orcid":"https://orcid.org/0000-0002-4478-9109"},"institutions":[{"id":"https://openalex.org/I2800591879","display_name":"SEW Eurodrive (Germany)","ror":"https://ror.org/03g3xrr94","country_code":"DE","type":"company","lineage":["https://openalex.org/I2800591879"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Eike Lyczkowski","raw_affiliation_strings":["Research Technology, SEW-EURODRIVE GmbH&Co.KG,Germany"],"affiliations":[{"raw_affiliation_string":"Research Technology, SEW-EURODRIVE GmbH&Co.KG,Germany","institution_ids":["https://openalex.org/I2800591879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055512729","display_name":"Wolfgang Kie\u00df","orcid":null},"institutions":[{"id":"https://openalex.org/I16264642","display_name":"Koblenz University of Applied Sciences","ror":"https://ror.org/04j351e79","country_code":"DE","type":"education","lineage":["https://openalex.org/I16264642"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfgang Kiess","raw_affiliation_strings":["University of Applied Sciences Koblenz,Germany","University of Applied Sciences Koblenz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Applied Sciences Koblenz,Germany","institution_ids":["https://openalex.org/I16264642"]},{"raw_affiliation_string":"University of Applied Sciences Koblenz, Germany","institution_ids":["https://openalex.org/I16264642"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073071377"],"corresponding_institution_ids":["https://openalex.org/I2800591879"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09633745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"210","last_page":"215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10575","display_name":"Wireless Communication Networks Research","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10575","display_name":"Wireless Communication Networks Research","score":0.9998999834060669,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9995999932289124,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9994000196456909,"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/fading","display_name":"Fading","score":0.945014238357544},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.7463571429252625},{"id":"https://openalex.org/keywords/rayleigh-fading","display_name":"Rayleigh fading","score":0.62843257188797},{"id":"https://openalex.org/keywords/fading-distribution","display_name":"Fading distribution","score":0.6097238659858704},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6070249676704407},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.538469672203064},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.46235191822052},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.45275071263313293},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4330577850341797},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4016396999359131},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3377314805984497},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2694239616394043},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.21550002694129944},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16905337572097778},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1317976713180542}],"concepts":[{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.945014238357544},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.7463571429252625},{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.62843257188797},{"id":"https://openalex.org/C161126049","wikidata":"https://www.wikidata.org/wiki/Q5429266","display_name":"Fading distribution","level":5,"score":0.6097238659858704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6070249676704407},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.538469672203064},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.46235191822052},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.45275071263313293},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4330577850341797},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4016396999359131},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3377314805984497},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2694239616394043},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.21550002694129944},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16905337572097778},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1317976713180542},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eucnc/6gsummit58263.2023.10188367","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/eucnc/6gsummit58263.2023.10188367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)","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":24,"referenced_works":["https://openalex.org/W1560950944","https://openalex.org/W1847675862","https://openalex.org/W2002031279","https://openalex.org/W2007972894","https://openalex.org/W2057620478","https://openalex.org/W2129506838","https://openalex.org/W2135032037","https://openalex.org/W2135505929","https://openalex.org/W2146318236","https://openalex.org/W2146516326","https://openalex.org/W2146922772","https://openalex.org/W2209489499","https://openalex.org/W2796283700","https://openalex.org/W2808151025","https://openalex.org/W2981162007","https://openalex.org/W3088720686","https://openalex.org/W3099062426","https://openalex.org/W3210810981","https://openalex.org/W3217622433","https://openalex.org/W4239066252","https://openalex.org/W6650974263","https://openalex.org/W6688124444","https://openalex.org/W6785306234","https://openalex.org/W6805048186"],"related_works":["https://openalex.org/W1931943713","https://openalex.org/W1995000596","https://openalex.org/W2116044594","https://openalex.org/W2160367716","https://openalex.org/W2124541664","https://openalex.org/W1503152075","https://openalex.org/W301676527","https://openalex.org/W2052600062","https://openalex.org/W2545273393","https://openalex.org/W2110793934"],"abstract_inverted_index":{"Simulations":[0],"are":[1],"an":[2],"important":[3],"component":[4],"for":[5,19,89],"the":[6,22,26,67],"investigation":[7,27],"of":[8,21,28,38,69],"wireless":[9],"technologies.":[10],"Thereby,":[11],"a":[12,31,44,94],"compute":[13],"efficient":[14],"channel":[15,54],"model":[16,33,47,63,86],"is":[17,37,64,87,102],"needed":[18],"simulations":[20],"physical":[23],"layer.":[24],"For":[25],"packet":[29],"duplication":[30],"fading":[32,46,50,78],"with":[34,59],"correlated":[35],"channels":[36],"high":[39],"importance.":[40],"We":[41],"propose":[42],"such":[43],"complexity-optimized":[45],"whose":[48],"parameters":[49],"strength,":[51],"autocorrelation":[52],"and":[53,72,79,98],"correlation":[55],"can":[56],"be":[57],"adjusted":[58],"fine":[60],"granularity.":[61],"The":[62,85],"based":[65],"on":[66],"sum":[68],"sinusoids":[70],"method":[71],"includes":[73],"Rayleigh":[74],"distributed":[75,81],"small":[76],"scale":[77,83],"normal":[80],"large":[82],"fading.":[84],"validated":[88],"its":[90,99],"mathematical":[91],"properties":[92],"within":[93],"wide":[95],"parameter":[96],"range":[97],"source":[100],"code":[101],"published.":[103]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}