{"id":"https://openalex.org/W7139116919","doi":"https://doi.org/10.1109/globecom59602.2025.11432692","title":"Adaptive Modulation Inference via Input Skipping and Budget-Efficient Exiting","display_name":"Adaptive Modulation Inference via Input Skipping and Budget-Efficient Exiting","publication_year":2025,"publication_date":"2025-12-08","ids":{"openalex":"https://openalex.org/W7139116919","doi":"https://doi.org/10.1109/globecom59602.2025.11432692"},"language":null,"primary_location":{"id":"doi:10.1109/globecom59602.2025.11432692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom59602.2025.11432692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2025 - 2025 IEEE Global Communications Conference","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/A5129907857","display_name":"Kehan Xiang","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kehan Xiang","raw_affiliation_strings":["Harbin Institute of Technology,Guangdong Provincial Key Laboratory of ACNT,Shenzhen"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Guangdong Provincial Key Laboratory of ACNT,Shenzhen","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430876","display_name":"Xi Zhang","orcid":"https://orcid.org/0000-0003-3415-5345"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingjian Zhang","raw_affiliation_strings":["Harbin Institute of Technology,Guangdong Provincial Key Laboratory of ACNT,Shenzhen"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Guangdong Provincial Key Laboratory of ACNT,Shenzhen","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082273658","display_name":"Xufei Zheng","orcid":"https://orcid.org/0000-0001-8294-8863"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiqiao Zheng","raw_affiliation_strings":["Harbin Institute of Technology,Guangdong Provincial Key Laboratory of ACNT,Shenzhen"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Guangdong Provincial Key Laboratory of ACNT,Shenzhen","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069876128","display_name":"Yuan Ma","orcid":"https://orcid.org/0000-0003-0648-8492"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Ma","raw_affiliation_strings":["PengCheng Laboratory"],"affiliations":[{"raw_affiliation_string":"PengCheng Laboratory","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052567238","display_name":"Fanyang Meng","orcid":"https://orcid.org/0000-0001-7126-9398"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanyang Meng","raw_affiliation_strings":["PengCheng Laboratory"],"affiliations":[{"raw_affiliation_string":"PengCheng Laboratory","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085826827","display_name":"Qiang Zhang","orcid":"https://orcid.org/0000-0001-6662-1668"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinyu Zhang","raw_affiliation_strings":["Harbin Institute of Technology,Guangdong Provincial Key Laboratory of ACNT,Shenzhen"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Guangdong Provincial Key Laboratory of ACNT,Shenzhen","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5129907857"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.88185063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4650","last_page":"4655"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9660000205039978,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9660000205039978,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.008200000040233135,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.003100000089034438,"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/inference","display_name":"Inference","score":0.7462999820709229},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5059999823570251},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.49309998750686646},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.453000009059906},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4147000014781952},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4104999899864197},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4025999903678894},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.38999998569488525}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7462999820709229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7351999878883362},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5059999823570251},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.49309998750686646},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.453000009059906},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4147000014781952},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4104999899864197},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4025999903678894},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.38999998569488525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36730000376701355},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35740000009536743},{"id":"https://openalex.org/C127964446","wikidata":"https://www.wikidata.org/wiki/Q1092142","display_name":"Computational resource","level":3,"score":0.328900009393692},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.32820001244544983},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3149999976158142},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C138916503","wikidata":"https://www.wikidata.org/wiki/Q2714551","display_name":"Link adaptation","level":4,"score":0.3043000102043152},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2971000075340271},{"id":"https://openalex.org/C19247436","wikidata":"https://www.wikidata.org/wiki/Q192727","display_name":"Physical layer","level":3,"score":0.2888999879360199},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.262800008058548},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2596000134944916},{"id":"https://openalex.org/C167981619","wikidata":"https://www.wikidata.org/wiki/Q1685498","display_name":"Cross entropy","level":3,"score":0.25920000672340393},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.2542000114917755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom59602.2025.11432692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom59602.2025.11432692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2025 - 2025 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2272847350","https://openalex.org/W2734408173","https://openalex.org/W2919115771","https://openalex.org/W2963163009","https://openalex.org/W3010833785","https://openalex.org/W3147547833","https://openalex.org/W3204647170","https://openalex.org/W4310045024","https://openalex.org/W4324290967","https://openalex.org/W4384519082","https://openalex.org/W4386933843","https://openalex.org/W4392158189","https://openalex.org/W4409795934"],"related_works":[],"abstract_inverted_index":{"Automatic":[0],"Modulation":[1,55],"Recognition":[2],"(AMR)":[3],"is":[4],"essential":[5],"for":[6,42,63,107],"efficient":[7,64],"spectrum":[8],"utilization,":[9],"cognitive":[10],"radio,":[11],"and":[12,65,74,85,97,104,110,121,150],"secure":[13],"wireless":[14],"communications.":[15],"However,":[16],"deploying":[17],"accurate":[18],"AMR":[19,67,161],"models":[20],"on":[21,47,68,94,119,125,147],"resource-constrained":[22],"devices":[23],"remains":[24],"challenging":[25],"due":[26],"to":[27,89,134],"substantial":[28],"computational":[29,34,139],"overhead.":[30],"Importantly,":[31],"minimizing":[32],"inference":[33,61,156],"cost\u2014distinct":[35],"from":[36],"conventional":[37],"neural":[38],"network":[39],"lightweighting\u2014is":[40],"critical":[41],"meeting":[43],"strict":[44],"runtime":[45],"constraints":[46],"resource-limited":[48],"platforms.":[49],"This":[50],"paper":[51],"proposes":[52],"the":[53,160],"Adaptive":[54,81],"Inference":[56],"(AMI)":[57],"framework,":[58],"a":[59,126],"dynamic":[60,155],"solution":[62],"adaptive":[66],"limitedresource":[69],"platforms":[70],"such":[71],"as":[72],"satellites":[73],"unmanned":[75],"aerial":[76],"vehicles":[77],"(UAVs).":[78],"AMI":[79,131],"integrates":[80],"Input":[82],"Skipping":[83],"(AIS)":[84],"Budget-Efficient":[86],"Exiting":[87],"(BEE)":[88],"dynamically":[90],"tailor":[91],"computation":[92],"based":[93,118],"signal":[95],"difficulty":[96],"real-time":[98],"resource":[99],"budgets.":[100],"AIS":[101],"employs":[102],"Layer":[103],"Channel":[105],"Gates":[106],"coarse-grained":[108],"skipping":[109],"fine-grained":[111],"pruning,":[112],"while":[113],"BEE":[114],"adjusts":[115],"early-exit":[116],"thresholds":[117],"entropy":[120],"Top-1":[122],"confidence.":[123],"Implemented":[124],"lightweight":[127],"1D":[128],"MobileNetV2":[129],"backbone,":[130],"achieves":[132],"up":[133],"56%":[135],"reduction":[136],"in":[137,159],"average":[138],"cost":[140],"with":[141],"less":[142],"than":[143],"1%":[144],"accuracy":[145],"loss":[146],"both":[148],"RML22":[149],"HisarMod2019.1":[151],"datasets,":[152],"outperforming":[153],"existing":[154],"strategies":[157],"applied":[158],"domain.":[162]},"counts_by_year":[],"updated_date":"2026-03-20T20:54:20.808490","created_date":"2026-03-20T00:00:00"}