{"id":"https://openalex.org/W3013384133","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9048777","title":"Sparsely-structured Multiuser Detection for Large Massively Concurrent NOMA Systems","display_name":"Sparsely-structured Multiuser Detection for Large Massively Concurrent NOMA Systems","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3013384133","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9048777","mag":"3013384133"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf44664.2019.9048777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9048777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","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/A5051302724","display_name":"Razvan-Andrei Stoica","orcid":"https://orcid.org/0000-0003-3801-0055"},"institutions":[{"id":"https://openalex.org/I193619901","display_name":"Constructor University","ror":"https://ror.org/02yrs2n53","country_code":"DE","type":"education","lineage":["https://openalex.org/I193619901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Razvan-Andrei Stoica","raw_affiliation_strings":["Jacobs University Bremen,Focus Area Mobility,Bremen,Germany,28759","Focus Area Mobility, Jacobs University Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jacobs University Bremen,Focus Area Mobility,Bremen,Germany,28759","institution_ids":["https://openalex.org/I193619901"]},{"raw_affiliation_string":"Focus Area Mobility, Jacobs University Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I193619901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035223809","display_name":"Hiroki Iimori","orcid":"https://orcid.org/0000-0003-3417-1513"},"institutions":[{"id":"https://openalex.org/I193619901","display_name":"Constructor University","ror":"https://ror.org/02yrs2n53","country_code":"DE","type":"education","lineage":["https://openalex.org/I193619901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hiroki Iimori","raw_affiliation_strings":["Jacobs University Bremen,Focus Area Mobility,Bremen,Germany,28759","Focus Area Mobility, Jacobs University Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jacobs University Bremen,Focus Area Mobility,Bremen,Germany,28759","institution_ids":["https://openalex.org/I193619901"]},{"raw_affiliation_string":"Focus Area Mobility, Jacobs University Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I193619901"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042210188","display_name":"Giuseppe Thadeu Freitas de Abreu","orcid":"https://orcid.org/0000-0002-5018-8174"},"institutions":[{"id":"https://openalex.org/I193619901","display_name":"Constructor University","ror":"https://ror.org/02yrs2n53","country_code":"DE","type":"education","lineage":["https://openalex.org/I193619901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Giuseppe Thadeu Freitas de Abreu","raw_affiliation_strings":["Jacobs University Bremen,Focus Area Mobility,Bremen,Germany,28759","Focus Area Mobility, Jacobs University Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jacobs University Bremen,Focus Area Mobility,Bremen,Germany,28759","institution_ids":["https://openalex.org/I193619901"]},{"raw_affiliation_string":"Focus Area Mobility, Jacobs University Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I193619901"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193619901"],"apc_list":null,"apc_paid":null,"fwci":0.9588,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.85971493,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2019","issue":null,"first_page":"1821","last_page":"1826"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9998000264167786,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9984999895095825,"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/computer-science","display_name":"Computer science","score":0.6894804239273071},{"id":"https://openalex.org/keywords/noma","display_name":"Noma","score":0.6688019037246704},{"id":"https://openalex.org/keywords/massively-parallel","display_name":"Massively parallel","score":0.569094181060791},{"id":"https://openalex.org/keywords/multiuser-detection","display_name":"Multiuser detection","score":0.5003564357757568},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.4926953613758087},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4656079113483429},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.45710691809654236},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4349829852581024},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.432597279548645},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.42945343255996704},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.42200767993927},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4191960394382477},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3851422667503357},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.3591119349002838},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.22397705912590027},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20673540234565735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1366327702999115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6894804239273071},{"id":"https://openalex.org/C2775918612","wikidata":"https://www.wikidata.org/wiki/Q994794","display_name":"Noma","level":3,"score":0.6688019037246704},{"id":"https://openalex.org/C190475519","wikidata":"https://www.wikidata.org/wiki/Q544384","display_name":"Massively parallel","level":2,"score":0.569094181060791},{"id":"https://openalex.org/C2777104032","wikidata":"https://www.wikidata.org/wiki/Q16324514","display_name":"Multiuser detection","level":3,"score":0.5003564357757568},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.4926953613758087},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4656079113483429},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.45710691809654236},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4349829852581024},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.432597279548645},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.42945343255996704},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.42200767993927},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4191960394382477},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3851422667503357},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.3591119349002838},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.22397705912590027},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20673540234565735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1366327702999115},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","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},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ieeeconf44664.2019.9048777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9048777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},{"id":"mag:3181568985","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002285503734168","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W634207668","https://openalex.org/W1946620893","https://openalex.org/W1983787406","https://openalex.org/W2063947013","https://openalex.org/W2086869478","https://openalex.org/W2100556411","https://openalex.org/W2164278908","https://openalex.org/W2288174618","https://openalex.org/W2561492764","https://openalex.org/W2748593636","https://openalex.org/W2756372895","https://openalex.org/W2774820752","https://openalex.org/W2788350651","https://openalex.org/W2790139930","https://openalex.org/W2920679462","https://openalex.org/W2951870246","https://openalex.org/W2952426849","https://openalex.org/W2963336322","https://openalex.org/W2971081731","https://openalex.org/W2982508075","https://openalex.org/W3101658132","https://openalex.org/W4292363360","https://openalex.org/W4302177835","https://openalex.org/W6620487896","https://openalex.org/W6640435808","https://openalex.org/W6744561161"],"related_works":["https://openalex.org/W3030525848","https://openalex.org/W4385197910","https://openalex.org/W2340639785","https://openalex.org/W3010814398","https://openalex.org/W4385197899","https://openalex.org/W3005957545","https://openalex.org/W2076432172","https://openalex.org/W4309235375","https://openalex.org/W2887349183","https://openalex.org/W4364360709"],"abstract_inverted_index":{"We":[0,36],"study":[1],"a":[2,31,55,75],"new":[3],"detection":[4,19,80],"scheme":[5],"for":[6,108],"large-scale":[7],"massively":[8],"concurrent":[9],"non-orthogonal":[10],"multiple":[11],"access":[12],"(MC-NOMA)":[13],"systems.":[14],"The":[15,82],"joint":[16],"mutual":[17],"user":[18],"(MUD)":[20],"is":[21,60],"gradually":[22],"transformed":[23],"given":[24],"its":[25],"maximum":[26],"likelihood":[27],"(ML)":[28],"formulation":[29,43],"into":[30,74],"sparsely-structured":[32],"mixed-quadratic":[33],"convex":[34,67],"program.":[35],"utilize":[37],"to":[38,54,95],"this":[39],"extent":[40],"an":[41,49],"\u21130-norm":[42,68],"of":[44,119,131],"the":[45,93,116,120,124,129,132],"ML":[46],"followed":[47],"by":[48,87],"1-bit":[50],"hard":[51],"quantization":[52],"leading":[53],"sparse":[56],"signal":[57],"representation":[58],"which":[59],"further":[61],"relaxed":[62],"via":[63],"soft":[64,97],"probabilistic":[65],"quantization,":[66],"approximation":[69],"and":[70,135],"fractional":[71],"programming":[72],"(FPG)":[73],"generic":[76],"yet":[77],"tractable":[78],"multiuser":[79],"problem.":[81],"resulting":[83],"method":[84,134],"solved":[85],"efficiently":[86],"proximal":[88],"gradient":[89],"descent":[90],"has":[91],"furthermore":[92],"ability":[94],"output":[96],"decisions":[98],"that":[99],"can":[100],"be":[101],"subsequently":[102],"integrated":[103],"with":[104],"modern":[105],"coding":[106],"schemes":[107],"highly":[109],"performant":[110],"multi-user":[111],"detectors.":[112],"Numerical":[113],"simulations":[114],"demonstrate":[115],"achievable":[117],"performance":[118],"proposed":[121,133],"scheme,":[122],"whereas":[123],"reduced":[125],"runtime":[126],"complexity":[127],"outlines":[128],"practicality":[130],"algorithm.":[136]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
