{"id":"https://openalex.org/W3161145378","doi":"https://doi.org/10.1109/wcnc49053.2021.9417487","title":"User Scheduling for Uplink OFDMA Systems by Deep Learning","display_name":"User Scheduling for Uplink OFDMA Systems by Deep Learning","publication_year":2021,"publication_date":"2021-03-29","ids":{"openalex":"https://openalex.org/W3161145378","doi":"https://doi.org/10.1109/wcnc49053.2021.9417487","mag":"3161145378"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc49053.2021.9417487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc49053.2021.9417487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Wireless Communications and Networking Conference (WCNC)","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/A5042677362","display_name":"Yinghan Li","orcid":"https://orcid.org/0000-0001-5057-2347"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yinghan Li","raw_affiliation_strings":["Beihang University,School of Electronics and Information Engineering,Beijing,China,100191"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Electronics and Information Engineering,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040178565","display_name":"Shengqian Han","orcid":"https://orcid.org/0000-0002-2085-3292"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengqian Han","raw_affiliation_strings":["Beihang University,School of Electronics and Information Engineering,Beijing,China,100191"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Electronics and Information Engineering,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082950698","display_name":"Chenyang Yang","orcid":"https://orcid.org/0000-0003-0058-0765"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Yang","raw_affiliation_strings":["Beihang University,School of Electronics and Information Engineering,Beijing,China,100191"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Electronics and Information Engineering,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042677362"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.3008,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.54892975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"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/T11409","display_name":"Advanced Wireless Network Optimization","score":1.0,"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/T11409","display_name":"Advanced Wireless Network Optimization","score":1.0,"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":0.9998000264167786,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9965000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.78420090675354},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5665003657341003},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiple-access","display_name":"Orthogonal frequency-division multiple access","score":0.5212453007698059},{"id":"https://openalex.org/keywords/fair-share-scheduling","display_name":"Fair-share scheduling","score":0.5096399784088135},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.5007309913635254},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.48202407360076904},{"id":"https://openalex.org/keywords/frequency-division-multiple-access","display_name":"Frequency-division multiple access","score":0.4486147463321686},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4387581944465637},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.43209755420684814},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.41102293133735657},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.381186306476593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3397330641746521},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3230676054954529},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.19657045602798462},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1857593059539795},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18224239349365234},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.1356211006641388},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.0981731116771698}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.78420090675354},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5665003657341003},{"id":"https://openalex.org/C2775907427","wikidata":"https://www.wikidata.org/wiki/Q2697649","display_name":"Orthogonal frequency-division multiple access","level":4,"score":0.5212453007698059},{"id":"https://openalex.org/C31689143","wikidata":"https://www.wikidata.org/wiki/Q733809","display_name":"Fair-share scheduling","level":3,"score":0.5096399784088135},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.5007309913635254},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.48202407360076904},{"id":"https://openalex.org/C2776208322","wikidata":"https://www.wikidata.org/wiki/Q844071","display_name":"Frequency-division multiple access","level":4,"score":0.4486147463321686},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4387581944465637},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.43209755420684814},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.41102293133735657},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.381186306476593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3397330641746521},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3230676054954529},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.19657045602798462},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1857593059539795},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18224239349365234},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.1356211006641388},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.0981731116771698},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc49053.2021.9417487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc49053.2021.9417487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1562238751","https://openalex.org/W1836465849","https://openalex.org/W2060611826","https://openalex.org/W2072492565","https://openalex.org/W2108663462","https://openalex.org/W2116456097","https://openalex.org/W2131431638","https://openalex.org/W2135946392","https://openalex.org/W2159715570","https://openalex.org/W2163922914","https://openalex.org/W2510842514","https://openalex.org/W2767286248","https://openalex.org/W2885828982","https://openalex.org/W2921224230","https://openalex.org/W2949117887","https://openalex.org/W2963735467","https://openalex.org/W2964121744","https://openalex.org/W2969256749","https://openalex.org/W2982596429","https://openalex.org/W4240896209","https://openalex.org/W4320930577","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6725939724","https://openalex.org/W6746023985"],"related_works":["https://openalex.org/W2025189274","https://openalex.org/W2092365485","https://openalex.org/W1585503616","https://openalex.org/W1543564974","https://openalex.org/W2184166483","https://openalex.org/W2004574319","https://openalex.org/W2397293317","https://openalex.org/W2060870071","https://openalex.org/W2224554958","https://openalex.org/W1591771139"],"abstract_inverted_index":{"User":[0],"scheduling":[1,27,60,66,77],"is":[2,54,113,130,148],"an":[3],"efficient":[4],"way":[5],"to":[6,56,82,104,132,150,162],"harvest":[7],"the":[8,25,36,40,58,65,76,85,89,95,106,117,121,128,135,145,153,163],"frequency":[9],"and":[10,158],"multiuser":[11],"diversity":[12],"gain":[13],"for":[14,68],"uplink":[15],"Orthogonal":[16],"Frequency":[17],"Division":[18],"Multiple":[19],"Access":[20],"(OFDMA)":[21],"system.":[22],"To":[23,93],"solve":[24,57],"non-convex":[26],"problem,":[28,61],"existing":[29],"numerical":[30],"or":[31],"searching":[32,165],"based":[33,52],"solutions":[34],"face":[35],"difficulty":[37],"of":[38,43,74,124],"meeting":[39],"real-time":[41,69],"requirement":[42],"fast":[44],"scheduling.":[45],"In":[46],"this":[47],"paper,":[48],"a":[49,99],"deep":[50,100],"learning":[51,75],"method":[53,147],"proposed":[55,146],"user":[59],"aimed":[62],"at":[63],"reducing":[64],"complexity":[67,154],"implementation.":[70],"The":[71,111],"key":[72],"challenge":[73],"decisions":[78,87],"lies":[79],"in":[80,120],"how":[81],"ensure":[83],"that":[84,144],"learned":[86],"satisfy":[88],"coupled":[90],"binary":[91,107],"constraint.":[92],"tackle":[94],"difficulty,":[96],"we":[97],"design":[98],"neural":[101],"network":[102],"(DNN)":[103],"approximate":[105],"vector":[108],"quantization":[109],"operation.":[110],"DNN":[112],"then":[114],"used":[115],"as":[116],"activation":[118],"function":[119],"output":[122],"layer":[123],"another":[125],"DNN,":[126],"where":[127],"latter":[129],"trained":[131],"directly":[133],"maximize":[134],"performance":[136,157],"utility":[137],"via":[138],"unsupervised":[139],"learning.":[140],"Simulation":[141],"results":[142],"demonstrate":[143],"able":[149],"largely":[151],"reduce":[152],"with":[155],"marginal":[156],"fairness":[159],"loss":[160],"compared":[161],"greedy":[164],"method.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}