{"id":"https://openalex.org/W2962993320","doi":"https://doi.org/10.1109/icc.2019.8761049","title":"Deep Learning-Aided Projected Gradient Detector for Massive Overloaded MIMO Channels","display_name":"Deep Learning-Aided Projected Gradient Detector for Massive Overloaded MIMO Channels","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2962993320","doi":"https://doi.org/10.1109/icc.2019.8761049","mag":"2962993320"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2019.8761049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2019.8761049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","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/A5064555693","display_name":"Satoshi Takabe","orcid":"https://orcid.org/0000-0002-5755-2231"},"institutions":[{"id":"https://openalex.org/I197274945","display_name":"Nagoya Institute of Technology","ror":"https://ror.org/055yf1005","country_code":"JP","type":"education","lineage":["https://openalex.org/I197274945"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Satoshi Takabe","raw_affiliation_strings":["Nagoya Institute of Technology, Nagoya, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya Institute of Technology, Nagoya, Aichi, Japan","institution_ids":["https://openalex.org/I197274945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110514501","display_name":"Masayuki Imanishi","orcid":null},"institutions":[{"id":"https://openalex.org/I197274945","display_name":"Nagoya Institute of Technology","ror":"https://ror.org/055yf1005","country_code":"JP","type":"education","lineage":["https://openalex.org/I197274945"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masayuki Imanishi","raw_affiliation_strings":["Nagoya Institute of Technology, Nagoya, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya Institute of Technology, Nagoya, Aichi, Japan","institution_ids":["https://openalex.org/I197274945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049268989","display_name":"Tadashi Wadayama","orcid":null},"institutions":[{"id":"https://openalex.org/I197274945","display_name":"Nagoya Institute of Technology","ror":"https://ror.org/055yf1005","country_code":"JP","type":"education","lineage":["https://openalex.org/I197274945"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tadashi Wadayama","raw_affiliation_strings":["Nagoya Institute of Technology, Nagoya, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya Institute of Technology, Nagoya, Aichi, Japan","institution_ids":["https://openalex.org/I197274945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081667035","display_name":"Kazunori Hayashi","orcid":"https://orcid.org/0000-0002-3737-5135"},"institutions":[{"id":"https://openalex.org/I317356780","display_name":"Osaka City University","ror":"https://ror.org/02skfsw40","country_code":"JP","type":"education","lineage":["https://openalex.org/I317356780"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazunori Hayashi","raw_affiliation_strings":["Graduate School of Engineering, Osaka City University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Osaka City University, Osaka, Japan","institution_ids":["https://openalex.org/I317356780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064555693"],"corresponding_institution_ids":["https://openalex.org/I197274945"],"apc_list":null,"apc_paid":null,"fwci":3.3887,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.92897237,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9997000098228455,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/detector","display_name":"Detector","score":0.8220651149749756},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.7320210933685303},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.6754311919212341},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.6555376052856445},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6505346894264221},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6440943479537964},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6100197434425354},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5454270839691162},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47104668617248535},{"id":"https://openalex.org/keywords/gradient-method","display_name":"Gradient method","score":0.4367426335811615},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.43180644512176514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3974774181842804},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.32069891691207886},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3166201710700989},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15185722708702087}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.8220651149749756},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.7320210933685303},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.6754311919212341},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.6555376052856445},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6505346894264221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6440943479537964},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6100197434425354},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5454270839691162},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47104668617248535},{"id":"https://openalex.org/C115680565","wikidata":"https://www.wikidata.org/wiki/Q5977448","display_name":"Gradient method","level":2,"score":0.4367426335811615},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.43180644512176514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3974774181842804},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.32069891691207886},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3166201710700989},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15185722708702087},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2019.8761049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2019.8761049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2256499016","display_name":null,"funder_award_id":"Grant-in-Aid for Young Scientists (","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G267258101","display_name":null,"funder_award_id":"Scientific Research (B)","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G2983449479","display_name":null,"funder_award_id":"Scientific Research","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3236194794","display_name":null,"funder_award_id":"Grant-in-Aid","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3348058139","display_name":null,"funder_award_id":"Grant-in-Aid for Young Scien","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3459562248","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4367772926","display_name":null,"funder_award_id":"Grant-in-Aid for Young Scientists","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4874944895","display_name":null,"funder_award_id":"-in-Aid","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6216801417","display_name":null,"funder_award_id":"Grant-in-Aid for Scientific Research (B)","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6438457348","display_name":null,"funder_award_id":"16H02878","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7148461511","display_name":null,"funder_award_id":"17H06758","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7167128334","display_name":null,"funder_award_id":"Grant-in-Aid for Scientific Researc","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7337825077","display_name":null,"funder_award_id":"Grant-in-Aid for Sc","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8430481527","display_name":null,"funder_award_id":"Number","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8759943101","display_name":null,"funder_award_id":"rant-in-Aid for Scientific Research","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1481991844","https://openalex.org/W1522301498","https://openalex.org/W1983787406","https://openalex.org/W2100495367","https://openalex.org/W2115079032","https://openalex.org/W2115706991","https://openalex.org/W2118103795","https://openalex.org/W2119946711","https://openalex.org/W2125655142","https://openalex.org/W2139317044","https://openalex.org/W2160819228","https://openalex.org/W2166701066","https://openalex.org/W2561492764","https://openalex.org/W2748593636","https://openalex.org/W2962956060","https://openalex.org/W2963187070","https://openalex.org/W2963408536","https://openalex.org/W3101658132","https://openalex.org/W4248709896","https://openalex.org/W6628925314","https://openalex.org/W6631190155","https://openalex.org/W6677645113","https://openalex.org/W6751285644"],"related_works":["https://openalex.org/W2115605526","https://openalex.org/W3093883775","https://openalex.org/W1539246760","https://openalex.org/W2786746258","https://openalex.org/W4225893763","https://openalex.org/W2788727425","https://openalex.org/W2405196115","https://openalex.org/W2104893957","https://openalex.org/W2971074373","https://openalex.org/W3159389381"],"abstract_inverted_index":{"The":[0,37,76],"paper":[1],"presents":[2],"a":[3],"deep":[4,46],"learning-aided":[5],"iterative":[6],"detection":[7,84],"algorithm":[8,17],"for":[9,92],"massive":[10,93],"overloaded":[11,94],"MIMO":[12,95],"systems.":[13],"Since":[14],"the":[15,21,69,89],"proposed":[16,70],"is":[18,30],"based":[19],"on":[20],"projected":[22,34],"gradient":[23,55],"descent":[24,56],"method":[25],"with":[26,44,97],"trainable":[27,33,38],"parameters,":[28],"it":[29],"named":[31],"as":[32,50,62,73],"descent-detector":[35],"(TPG-detector).":[36],"internal":[39],"parameters":[40],"can":[41],"be":[42],"optimized":[43],"standard":[45],"learning":[47],"techniques":[48],"such":[49,72],"back":[51],"propagation":[52],"and":[53],"stochastic":[54],"algorithms.":[57],"This":[58],"approach":[59],"referred":[60],"to":[61,86],"data-driven":[63],"tuning":[64],"brings":[65],"notable":[66],"advantages":[67],"of":[68,88],"scheme":[71],"fast":[74],"convergence.":[75],"numerical":[77],"experiments":[78],"show":[79],"that":[80],"TPG-detector":[81],"achieves":[82],"comparable":[83],"performance":[85],"those":[87],"known":[90],"algorithms":[91],"channels":[96],"lower":[98],"computation":[99],"cost.":[100]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}