{"id":"https://openalex.org/W4404914752","doi":"https://doi.org/10.1109/apcc62576.2024.10767924","title":"Dynamic User Clustering for mmWave-Based NOMA Networks","display_name":"Dynamic User Clustering for mmWave-Based NOMA Networks","publication_year":2024,"publication_date":"2024-11-05","ids":{"openalex":"https://openalex.org/W4404914752","doi":"https://doi.org/10.1109/apcc62576.2024.10767924"},"language":"en","primary_location":{"id":"doi:10.1109/apcc62576.2024.10767924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apcc62576.2024.10767924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 29th Asia Pacific Conference on Communications (APCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5091702919","display_name":"Sudhakar Rai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sudhakar Rai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041137553","display_name":"Ekant Sharma","orcid":"https://orcid.org/0000-0003-0735-4701"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ekant Sharma","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004217423","display_name":"Neeraj Varshney","orcid":"https://orcid.org/0000-0003-0752-2103"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Neeraj Varshney","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5021662164","display_name":"Aditya K. Jagannatham","orcid":"https://orcid.org/0000-0003-1594-5181"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aditya K. Jagannatham","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3141157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"143","last_page":"148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.989300012588501,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.989300012588501,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9842000007629395,"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/T11932","display_name":"Wireless Body Area Networks","score":0.9830999970436096,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/noma","display_name":"Noma","score":0.9227428436279297},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7406943440437317},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6770654320716858},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3555513322353363},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1854666769504547},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.08947122097015381}],"concepts":[{"id":"https://openalex.org/C2775918612","wikidata":"https://www.wikidata.org/wiki/Q994794","display_name":"Noma","level":3,"score":0.9227428436279297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7406943440437317},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6770654320716858},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3555513322353363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1854666769504547},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.08947122097015381}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apcc62576.2024.10767924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apcc62576.2024.10767924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 29th Asia Pacific Conference on Communications (APCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1690504809","https://openalex.org/W1956027752","https://openalex.org/W2890609471","https://openalex.org/W2963036736","https://openalex.org/W2965716521","https://openalex.org/W2979171492","https://openalex.org/W3024765873","https://openalex.org/W3163249679","https://openalex.org/W3196600164","https://openalex.org/W3206067486","https://openalex.org/W4312849067","https://openalex.org/W4312849087"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3030525848","https://openalex.org/W4385197910","https://openalex.org/W2340639785","https://openalex.org/W4404253608","https://openalex.org/W3010814398","https://openalex.org/W4385197899","https://openalex.org/W3005957545"],"abstract_inverted_index":{"This":[0],"study":[1],"focuses":[2],"on":[3],"the":[4,32,42,49,63,76],"user":[5,25,35,78],"clustering":[6,26,79,91],"performance":[7,85],"of":[8,48,51,55],"millimeter-wave":[9],"(mmWave)":[10],"massive":[11],"multipleinput":[12],"multiple-output":[13],"(MIMO)":[14],"non-orthogonal":[15],"multiple":[16],"access":[17],"(NOMA)":[18],"networks.":[19],"Two":[20],"novel":[21],"spectral":[22],"and":[23,37,53],"energy-efficient":[24],"algorithms":[27],"are":[28,68],"proposed":[29,77],"that":[30,62,75],"exploit":[31],"similarity":[33],"between":[34],"channels":[36],"condition":[38],"number":[39,50,54],"(CN)":[40],"as":[41],"correlation":[43],"index,":[44],"toward":[45],"dynamic":[46],"selection":[47],"clusters":[52,67],"users":[56,64],"in":[57,65],"each":[58],"cluster,":[59],"thus":[60],"ensuring":[61],"different":[66],"spatially":[69],"uncorrelated.":[70],"Our":[71],"simulation":[72],"results":[73],"demonstrate":[74],"techniques":[80],"attain":[81],"a":[82,88],"$100":[83],"\\%$":[84],"gain":[86],"over":[87],"naive":[89],"random":[90],"technique.":[92]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
