{"id":"https://openalex.org/W3176252472","doi":"https://doi.org/10.1109/twc.2021.3088224","title":"Multicell Power Control Under Rate Constraints With Deep Learning","display_name":"Multicell Power Control Under Rate Constraints With Deep Learning","publication_year":2021,"publication_date":"2021-06-17","ids":{"openalex":"https://openalex.org/W3176252472","doi":"https://doi.org/10.1109/twc.2021.3088224","mag":"3176252472"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2021.3088224","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2021.3088224","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-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":["School of Electronics and Information Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Beihang University, Beijing, China","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":["Hangzhou Innovation Institute, Beihang University, Hangzhou, China","School of Electronics and Information Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Innovation Institute, Beihang University, Hangzhou, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Beihang University, Beijing, China","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":["School of Electronics and Information Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Beihang University, Beijing, China","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":1.6043,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.83204958,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"20","issue":"12","first_page":"7813","last_page":"7825"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9998999834060669,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9998999834060669,"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":0.9998000264167786,"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/T11873","display_name":"PAPR reduction in OFDM","score":0.9995999932289124,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.80461585521698},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6229905486106873},{"id":"https://openalex.org/keywords/power-control","display_name":"Power control","score":0.610500156879425},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5993809700012207},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5976892709732056},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5314727425575256},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5209892392158508},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5173932313919067},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4875773787498474},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.4592459499835968},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.4584670960903168},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4569339156150818},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.44748222827911377},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.353858083486557},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.309506356716156},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2477816939353943},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10096469521522522}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.80461585521698},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6229905486106873},{"id":"https://openalex.org/C56685638","wikidata":"https://www.wikidata.org/wiki/Q2300474","display_name":"Power control","level":3,"score":0.610500156879425},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5993809700012207},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5976892709732056},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5314727425575256},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5209892392158508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5173932313919067},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4875773787498474},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.4592459499835968},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.4584670960903168},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4569339156150818},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.44748222827911377},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.353858083486557},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.309506356716156},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2477816939353943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10096469521522522},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/twc.2021.3088224","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2021.3088224","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G797825634","display_name":null,"funder_award_id":"61731002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8511237666","display_name":null,"funder_award_id":"61871015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1836465849","https://openalex.org/W1970830346","https://openalex.org/W2040051462","https://openalex.org/W2112300062","https://openalex.org/W2112820013","https://openalex.org/W2150957592","https://openalex.org/W2616867685","https://openalex.org/W2883094398","https://openalex.org/W2894241318","https://openalex.org/W2962841091","https://openalex.org/W2966968590","https://openalex.org/W2980815282","https://openalex.org/W2991155877","https://openalex.org/W2992716901","https://openalex.org/W4211091685","https://openalex.org/W4250589301","https://openalex.org/W4301014524","https://openalex.org/W4301496368","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6638667902","https://openalex.org/W6734122017"],"related_works":["https://openalex.org/W4365807906","https://openalex.org/W2157864637","https://openalex.org/W4223416141","https://openalex.org/W2546639359","https://openalex.org/W1922070205","https://openalex.org/W2395708164","https://openalex.org/W2115199292","https://openalex.org/W2391952834","https://openalex.org/W2050553400","https://openalex.org/W1601261305"],"abstract_inverted_index":{"In":[0],"the":[1,12,44,50,56,62,77,83,97,105,114,120,126,134,143,146,159,162,166],"paper":[2],"we":[3,64],"study":[4],"a":[5,68,72,93],"deep":[6,51,151],"learning":[7,152],"based":[8,91],"method":[9,148,164],"to":[10,23,41,66,131,165],"solve":[11],"multicell":[13],"downlink":[14],"power":[15,31,46,79],"control":[16,47,80],"problem":[17,38],"for":[18,119],"sum":[19,135],"rate":[20,25,58,136],"maximization":[21],"subject":[22],"per-user":[24,57],"constraints":[26],"and":[27,153,157,171],"per-base":[28],"station":[29],"(BS)":[30],"constraints.":[32,59],"The":[33,86],"core":[34],"difficulty":[35],"of":[36,96,101,108,113,145,161],"this":[37],"is":[39,89,100,117],"how":[40],"ensure":[42],"that":[43],"learned":[45],"results":[48,81,141],"by":[49],"neural":[52],"network":[53],"(DNN)":[54],"satisfy":[55],"To":[60],"tackle":[61],"difficulty,":[63],"propose":[65],"cascade":[67],"projection":[69,87,122],"block":[70,88],"after":[71],"traditional":[73],"DNN,":[74],"which":[75,99,125],"projects":[76],"infeasible":[78],"onto":[82],"constraint":[84],"set.":[85],"designed":[90],"on":[92],"geometrical":[94],"interpretation":[95],"constraints,":[98],"low":[102],"complexity,":[103],"meeting":[104],"real-time":[106],"requirement":[107],"online":[109],"applications.":[110],"Explicit-form":[111],"expression":[112],"backpropagated":[115],"gradient":[116],"derived":[118],"proposed":[121,147,163],"block,":[123],"with":[124],"DNN":[127],"can":[128],"be":[129],"trained":[130],"directly":[132],"maximize":[133],"via":[137],"unsupervised":[138],"learning.":[139],"Simulation":[140],"demonstrate":[142],"advantages":[144],"over":[149],"existing":[150],"numerical":[154],"optimization":[155],"methods,":[156],"show":[158],"robustness":[160],"model":[167],"mismatch":[168],"between":[169],"training":[170],"testing":[172],"datasets.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}