{"id":"https://openalex.org/W3013623287","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9048866","title":"Spatial Modulation Link Adaptation: a Deep Learning Approach","display_name":"Spatial Modulation Link Adaptation: a Deep Learning Approach","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3013623287","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9048866","mag":"3013623287"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf44664.2019.9048866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9048866","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/A5082173346","display_name":"Anxo Tato","orcid":"https://orcid.org/0000-0002-9770-1617"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Anxo Tato","raw_affiliation_strings":["atlanTTic Research Center, Universidade de Vigo, Galicia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"atlanTTic Research Center, Universidade de Vigo, Galicia, Spain","institution_ids":["https://openalex.org/I6289922"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015015984","display_name":"Carlos Mosquera","orcid":"https://orcid.org/0000-0003-1753-9961"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Carlos Mosquera","raw_affiliation_strings":["atlanTTic Research Center, Universidade de Vigo, Galicia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"atlanTTic Research Center, Universidade de Vigo, Galicia, Spain","institution_ids":["https://openalex.org/I6289922"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I6289922"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1801","last_page":"1805"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11458","display_name":"Advanced Wireless Communication Technologies","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/T11458","display_name":"Advanced Wireless Communication Technologies","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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9984999895095825,"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/T10851","display_name":"Optical Wireless Communication Technologies","score":0.9958000183105469,"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/link-adaptation","display_name":"Link adaptation","score":0.8675845265388489},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7415950894355774},{"id":"https://openalex.org/keywords/adaptive-coding","display_name":"Adaptive coding","score":0.594903826713562},{"id":"https://openalex.org/keywords/phase-shift-keying","display_name":"Phase-shift keying","score":0.547280490398407},{"id":"https://openalex.org/keywords/quadrature-amplitude-modulation","display_name":"Quadrature amplitude modulation","score":0.5387481451034546},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47248902916908264},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.45776796340942383},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.4499158561229706},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41262075304985046},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4105723202228546},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.38468480110168457},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.32177460193634033},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2731459140777588},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2725192606449127},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.2616821527481079},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1142132580280304},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.10355377197265625},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10025930404663086},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.086771160364151}],"concepts":[{"id":"https://openalex.org/C138916503","wikidata":"https://www.wikidata.org/wiki/Q2714551","display_name":"Link adaptation","level":4,"score":0.8675845265388489},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7415950894355774},{"id":"https://openalex.org/C57890076","wikidata":"https://www.wikidata.org/wiki/Q4680725","display_name":"Adaptive coding","level":4,"score":0.594903826713562},{"id":"https://openalex.org/C186378180","wikidata":"https://www.wikidata.org/wiki/Q4874866","display_name":"Phase-shift keying","level":4,"score":0.547280490398407},{"id":"https://openalex.org/C32409245","wikidata":"https://www.wikidata.org/wiki/Q749753","display_name":"Quadrature amplitude modulation","level":4,"score":0.5387481451034546},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47248902916908264},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.45776796340942383},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.4499158561229706},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41262075304985046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4105723202228546},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.38468480110168457},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.32177460193634033},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2731459140777588},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2725192606449127},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.2616821527481079},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1142132580280304},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.10355377197265625},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10025930404663086},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.086771160364151},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf44664.2019.9048866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9048866","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W262820864","https://openalex.org/W1660883632","https://openalex.org/W2008862172","https://openalex.org/W2144986920","https://openalex.org/W2155482699","https://openalex.org/W2557283755","https://openalex.org/W2744485539","https://openalex.org/W2904015002","https://openalex.org/W2914559581","https://openalex.org/W2919457592","https://openalex.org/W2981336981","https://openalex.org/W3007887291","https://openalex.org/W3103960010","https://openalex.org/W4205533812","https://openalex.org/W6761267191"],"related_works":["https://openalex.org/W2893995248","https://openalex.org/W2085207364","https://openalex.org/W2148868771","https://openalex.org/W2901356766","https://openalex.org/W1993069619","https://openalex.org/W2018164385","https://openalex.org/W2003011219","https://openalex.org/W2366061186","https://openalex.org/W2184919146","https://openalex.org/W2291383639"],"abstract_inverted_index":{"Spatial":[0],"Modulation":[1,56],"(SM)":[2],"offers":[3],"a":[4,32,46,77,87,95,121,139],"good":[5,33],"balance":[6],"between":[7,79],"energy":[8],"and":[9,57,83,106,112,128],"spectral":[10],"efficiency":[11],"of":[12,37],"interest":[13],"for":[14,23,35,94],"next":[15],"generation":[16],"networks.":[17],"This,":[18],"together":[19],"with":[20,72],"the":[21,54,80,84,117,130,143],"need":[22],"only":[24],"one":[25],"Radio":[26],"Frequency":[27],"(RF)":[28],"chain,":[29],"makes":[30],"SM":[31,64,99],"proposal":[34],"Internet":[36],"Things":[38],"(IoT)":[39],"devices.":[40],"In":[41],"this":[42],"work,":[43],"we":[44],"present":[45],"method":[47],"based":[48],"on":[49],"Deep":[50],"Learning":[51],"to":[52,75,124,142],"select":[53],"optimum":[55],"Coding":[58],"Scheme":[59],"(MCS)":[60],"in":[61],"an":[62],"adaptive":[63,118],"system.":[65],"The":[66],"deep":[67],"neural":[68,144],"network":[69,145],"is":[70],"trained":[71],"supervised":[73],"learning":[74],"perform":[76],"mapping":[78],"channel":[81],"conditions":[82],"MCS":[85],"from":[86],"given":[88],"set.":[89],"We":[90],"provide":[91],"simulations":[92],"results":[93],"4":[96,98],"\u00d7":[97],"link":[100],"which":[101],"uses":[102],"several":[103],"coding":[104],"rates":[105],"three":[107],"different":[108],"constellations:":[109],"QPSK,":[110],"8PSK":[111],"16QAM.":[113],"Results":[114],"show":[115],"how":[116,129],"system":[119],"has":[120],"throughput":[122],"close":[123],"its":[125],"maximum":[126],"value":[127],"outage":[131],"probability":[132],"can":[133],"be":[134],"reduced":[135],"easily":[136],"by":[137],"applying":[138],"back-off":[140],"margin":[141],"output.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}