{"id":"https://openalex.org/W2970312556","doi":"https://doi.org/10.1109/spawc.2019.8815545","title":"NOMA Versus Massive MIMO in Rayleigh Fading","display_name":"NOMA Versus Massive MIMO in Rayleigh Fading","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2970312556","doi":"https://doi.org/10.1109/spawc.2019.8815545","mag":"2970312556"},"language":"en","primary_location":{"id":"doi:10.1109/spawc.2019.8815545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc.2019.8815545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2112.15493","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060262163","display_name":"Kamil \u015eenel","orcid":"https://orcid.org/0000-0002-2722-4405"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Kamil Senel","raw_affiliation_strings":["Linköping University, Linköping, Sweden","Dept. of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Linköping University, Linköping, Sweden","institution_ids":["https://openalex.org/I102134673"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081375588","display_name":"Hei Victor Cheng","orcid":"https://orcid.org/0000-0001-8432-3779"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Hei Victor Cheng","raw_affiliation_strings":["Linköping University, Linköping, Sweden","Dept. of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Linköping University, Linköping, Sweden","institution_ids":["https://openalex.org/I102134673"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062293532","display_name":"Emil Bj\u00f6rnson","orcid":"https://orcid.org/0000-0002-5954-434X"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Emil Bj\u00f6rnson","raw_affiliation_strings":["Linköping University, Linköping, Sweden","Dept. of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Linköping University, Linköping, Sweden","institution_ids":["https://openalex.org/I102134673"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043552696","display_name":"Erik G. Larsson","orcid":"https://orcid.org/0000-0002-7599-4367"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Erik G. Larsson","raw_affiliation_strings":["Linköping University, Linköping, Sweden","Dept. of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Linköping University, Linköping, Sweden","institution_ids":["https://openalex.org/I102134673"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I102134673"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11448","display_name":"Face recognition and analysis","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9951000213623047,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9661999940872192,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.847059965133667},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7869243621826172},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7621707320213318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6975296139717102},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6543148756027222},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.633895754814148},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4938114583492279},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4506330192089081},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4435620605945587},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4358309507369995},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2122706174850464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.847059965133667},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7869243621826172},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7621707320213318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6975296139717102},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6543148756027222},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.633895754814148},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4938114583492279},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4506330192089081},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4435620605945587},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4358309507369995},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2122706174850464},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/spawc.2019.8815545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc.2019.8815545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2112.15493","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2112.15493","pdf_url":"https://arxiv.org/pdf/2112.15493","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:DiVA.org:liu-168242","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-168242","pdf_url":null,"source":{"id":"https://openalex.org/S4306400838","display_name":"DiVA (Linkoping University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2112.15493","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2112.15493","pdf_url":"https://arxiv.org/pdf/2112.15493","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1518945650","https://openalex.org/W2045262861","https://openalex.org/W2130509920","https://openalex.org/W2277419020","https://openalex.org/W2343463506","https://openalex.org/W2510906680","https://openalex.org/W2513777322","https://openalex.org/W2770606349","https://openalex.org/W2890265660","https://openalex.org/W2963336322","https://openalex.org/W2963508491","https://openalex.org/W2963691998","https://openalex.org/W2964325697","https://openalex.org/W4293087907"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4378510483","https://openalex.org/W1522196789"],"abstract_inverted_index":{"This":[0],"paper":[1],"compares":[2],"the":[3,46,54,72],"sum":[4],"rates":[5],"and":[6,16],"rate":[7],"regions":[8],"achieved":[9],"by":[10],"power-domain":[11],"NOMA":[12,31],"(non-orthogonal":[13],"multiple":[14],"access)":[15],"standard":[17],"massive":[18,27],"MIMO":[19,28],"(multiple-input":[20],"multiple-output)":[21],"techniques.":[22],"We":[23],"prove":[24],"analytically":[25],"that":[26,53],"always":[29],"outperforms":[30],"in":[32],"i.i.d.":[33],"Rayleigh":[34],"fading":[35],"channels,":[36],"if":[37],"a":[38],"sufficient":[39],"number":[40],"of":[41],"antennas":[42],"are":[43],"used":[44],"at":[45],"base":[47],"stations.":[48],"The":[49],"simulation":[50],"results":[51],"show":[52],"crossing":[55],"point":[56],"occurs":[57],"already":[58],"when":[59],"having":[60],"20-30":[61],"antennas,":[62],"which":[63],"is":[64,69],"far":[65],"less":[66],"than":[67],"what":[68],"considered":[70],"for":[71],"next":[73],"generation":[74],"cellular":[75],"networks.":[76]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}