{"id":"https://openalex.org/W7084088929","doi":"https://doi.org/10.1109/icc52391.2025.11160715","title":"Deep Diffusion Probabilistic Learning for Resource Allocation in Multi-Carrier NOMA Systems","display_name":"Deep Diffusion Probabilistic Learning for Resource Allocation in Multi-Carrier NOMA Systems","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W7084088929","doi":"https://doi.org/10.1109/icc52391.2025.11160715"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11160715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11160715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","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":null,"display_name":"Liang Leon Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I157394403","display_name":"Baylor University","ror":"https://ror.org/005781934","country_code":"US","type":"education","lineage":["https://openalex.org/I157394403"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Liang Leon Dong","raw_affiliation_strings":["Baylor University,Department of Electrical and Computer Engineering,Waco,USA"],"affiliations":[{"raw_affiliation_string":"Baylor University,Department of Electrical and Computer Engineering,Waco,USA","institution_ids":["https://openalex.org/I157394403"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157394403"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.48445003,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1626","last_page":"1631"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T13511","display_name":"Geodetic Measurements and Engineering Structures","score":0.18289999663829803,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T13511","display_name":"Geodetic Measurements and Engineering Structures","score":0.18289999663829803,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.13130000233650208,"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/T13593","display_name":"Historical and Archaeological Studies","score":0.03189999982714653,"subfield":{"id":"https://openalex.org/subfields/1202","display_name":"History"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.7560999989509583},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6938999891281128},{"id":"https://openalex.org/keywords/noma","display_name":"Noma","score":0.588699996471405},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5450000166893005},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.5063999891281128},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.47920000553131104},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.47110000252723694},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46050000190734863}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7670000195503235},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.7560999989509583},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6938999891281128},{"id":"https://openalex.org/C2775918612","wikidata":"https://www.wikidata.org/wiki/Q994794","display_name":"Noma","level":3,"score":0.588699996471405},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5450000166893005},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.5063999891281128},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.47920000553131104},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.47110000252723694},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46050000190734863},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.45399999618530273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.421099990606308},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.41370001435279846},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4043999910354614},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.38760000467300415},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.38280001282691956},{"id":"https://openalex.org/C114237682","wikidata":"https://www.wikidata.org/wiki/Q5072483","display_name":"Channel allocation schemes","level":3,"score":0.34540000557899475},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.33079999685287476},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32899999618530273},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.304500013589859},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.29089999198913574},{"id":"https://openalex.org/C182448111","wikidata":"https://www.wikidata.org/wiki/Q7281197","display_name":"Radio resource management","level":4,"score":0.288100004196167},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc52391.2025.11160715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11160715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.4020387530326843,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2310071424","https://openalex.org/W2496222037","https://openalex.org/W2507748565","https://openalex.org/W2737159091","https://openalex.org/W2985468044","https://openalex.org/W3186080522","https://openalex.org/W4291652755","https://openalex.org/W4360884927"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,34,64,73],"deep":[4,113],"learning":[5,114],"framework":[6],"for":[7,77,120],"resource":[8,31,80,121],"allocation":[9,32,97],"in":[10,91,123],"multi-carrier":[11],"non-orthogonal":[12],"multiple":[13],"access":[14],"(NOMA)":[15],"systems.":[16],"We":[17],"use":[18],"diffusion":[19,47],"probabilistic":[20],"models":[21,59],"to":[22,50,60],"address":[23],"this":[24],"challenging":[25],"optimization":[26,109],"problem.":[27],"Our":[28],"approach":[29],"transforms":[30],"into":[33],"structured":[35],"prediction":[36],"task":[37],"by":[38],"using":[39],"channel":[40,93],"state":[41],"information":[42],"as":[43],"input":[44],"features.":[45],"The":[46,102],"model":[48],"learns":[49],"generate":[51],"optimal":[52],"channel-selection":[53],"matrices.":[54,81],"Key":[55],"contributions":[56],"include":[57],"adapting":[58],"wireless":[61,79,125],"communications":[62],"through":[63],"modified":[65],"loss":[66],"function":[67],"that":[68],"enforces":[69],"NOMA-specific":[70],"constraints":[71],"and":[72,95,111],"spatial":[74],"expansion":[75],"technique":[76],"processing":[78],"Numerical":[82],"evaluations":[83],"demonstrate":[84],"superior":[85],"performance,":[86],"with":[87],"over":[88],"90%":[89],"accuracy":[90],"joint":[92],"assignment":[94],"power":[96],"across":[98],"diverse":[99],"network":[100],"configurations.":[101],"proposed":[103],"method":[104],"significantly":[105],"outperforms":[106],"both":[107],"conventional":[108],"approaches":[110],"traditional":[112],"techniques,":[115],"offering":[116],"an":[117],"effective":[118],"solution":[119],"management":[122],"next-generation":[124],"networks.":[126]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
