{"id":"https://openalex.org/W4390190254","doi":"https://doi.org/10.1109/milcom58377.2023.10356251","title":"Channel-Adaptive Dynamic Neural Networks for Low-Complexity Distributed Signal Awareness","display_name":"Channel-Adaptive Dynamic Neural Networks for Low-Complexity Distributed Signal Awareness","publication_year":2023,"publication_date":"2023-10-30","ids":{"openalex":"https://openalex.org/W4390190254","doi":"https://doi.org/10.1109/milcom58377.2023.10356251"},"language":"en","primary_location":{"id":"doi:10.1109/milcom58377.2023.10356251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom58377.2023.10356251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM)","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/A5021358818","display_name":"Mohammad Reza Abdi","orcid":"https://orcid.org/0000-0002-1434-1151"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohammad Abdi","raw_affiliation_strings":["Northeastern University,Institute for the Wireless Internet of Things,United States","Institute for the Wireless Internet of Things, Northeastern University, United States"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Institute for the Wireless Internet of Things,United States","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Institute for the Wireless Internet of Things, Northeastern University, United States","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006871792","display_name":"Jonathan Ashdown","orcid":"https://orcid.org/0000-0001-7202-1095"},"institutions":[{"id":"https://openalex.org/I1280414376","display_name":"United States Air Force Research Laboratory","ror":"https://ror.org/02e2egq70","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280414376","https://openalex.org/I1330347796","https://openalex.org/I4210102105","https://openalex.org/I4389425425"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan Ashdown","raw_affiliation_strings":["Air Force Research Laboratory,United States","Air Force Research Laboratory, United States"],"affiliations":[{"raw_affiliation_string":"Air Force Research Laboratory,United States","institution_ids":["https://openalex.org/I1280414376"]},{"raw_affiliation_string":"Air Force Research Laboratory, United States","institution_ids":["https://openalex.org/I1280414376"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090483918","display_name":"Kurt Turck","orcid":"https://orcid.org/0000-0001-9224-0164"},"institutions":[{"id":"https://openalex.org/I1280414376","display_name":"United States Air Force Research Laboratory","ror":"https://ror.org/02e2egq70","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280414376","https://openalex.org/I1330347796","https://openalex.org/I4210102105","https://openalex.org/I4389425425"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kurt Turck","raw_affiliation_strings":["Air Force Research Laboratory,United States","Air Force Research Laboratory, United States"],"affiliations":[{"raw_affiliation_string":"Air Force Research Laboratory,United States","institution_ids":["https://openalex.org/I1280414376"]},{"raw_affiliation_string":"Air Force Research Laboratory, United States","institution_ids":["https://openalex.org/I1280414376"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058335425","display_name":"Francesco Restuccia","orcid":"https://orcid.org/0000-0002-9498-2302"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Francesco Restuccia","raw_affiliation_strings":["Northeastern University,Institute for the Wireless Internet of Things,United States","Institute for the Wireless Internet of Things, Northeastern University, United States"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Institute for the Wireless Internet of Things,United States","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Institute for the Wireless Internet of Things, Northeastern University, United States","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021358818"],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":0.1746,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59072376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"27","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":1.0,"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":1.0,"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/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9837999939918518,"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/bottleneck","display_name":"Bottleneck","score":0.9076972603797913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7825977206230164},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6122870445251465},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5128198266029358},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4873819947242737},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4782620668411255},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.45523905754089355},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4429892301559448},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.44195523858070374},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.431254118680954},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.355949342250824},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3345089852809906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24595773220062256},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2357698380947113},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2016352117061615},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.1617475152015686},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.07653811573982239}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.9076972603797913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7825977206230164},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6122870445251465},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5128198266029358},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4873819947242737},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4782620668411255},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.45523905754089355},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4429892301559448},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.44195523858070374},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.431254118680954},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.355949342250824},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3345089852809906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24595773220062256},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2357698380947113},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2016352117061615},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.1617475152015686},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.07653811573982239},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/milcom58377.2023.10356251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom58377.2023.10356251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2272847350","https://openalex.org/W2773170971","https://openalex.org/W2775741256","https://openalex.org/W2801504049","https://openalex.org/W2808052525","https://openalex.org/W2893379203","https://openalex.org/W2937290901","https://openalex.org/W2960833983","https://openalex.org/W2963163009","https://openalex.org/W2963770864","https://openalex.org/W2963918968","https://openalex.org/W2964203871","https://openalex.org/W2971714613","https://openalex.org/W2972871493","https://openalex.org/W2980150456","https://openalex.org/W2981114133","https://openalex.org/W3026206397","https://openalex.org/W3043914740","https://openalex.org/W3047279638","https://openalex.org/W3047486891","https://openalex.org/W3047573586","https://openalex.org/W3092262055","https://openalex.org/W3095012225","https://openalex.org/W3109233295","https://openalex.org/W3134255974","https://openalex.org/W3156091456","https://openalex.org/W3184606595","https://openalex.org/W3190816602","https://openalex.org/W3195300140","https://openalex.org/W4224134719","https://openalex.org/W4236099117","https://openalex.org/W4310563092","https://openalex.org/W6748163181"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W3013760193","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W3162668736","https://openalex.org/W4312996489","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"(DNNs)":[3],"are":[4],"being":[5],"increasingly":[6],"used":[7],"to":[8,140,157,159,173,229],"achieve":[9],"signal":[10,97],"awareness.":[11,98],"Usually,":[12],"DNNs":[13,24],"have":[14],"been":[15,40,94],"entirely":[16],"executed":[17],"at":[18,136],"the":[19,43,59,69,73,78,83,87,103,107,114,132,153,181,188],"mobile":[20,70],"device.":[21],"However,":[22],"as":[23],"become":[25,32],"more":[26],"complex,":[27],"edge":[28],"computing":[29,91],"techniques":[30],"will":[31],"necessary":[33],"for":[34,96,192],"DNN":[35,45,62],"deployment.":[36],"Notably,":[37],"it":[38],"has":[39,92],"shown":[41],"that":[42,197],"original":[44],"architectures":[46],"can":[47],"be":[48],"modified":[49],"by":[50],"introducing":[51],"a":[52,55,128,147,174],"\"bottleneck\"":[53],"producing":[54],"compressed":[56],"representation":[57],"of":[58,89,106,177],"input.":[60],"The":[61],"split":[63,90],"computation":[64],"is":[65,110,134],"then":[66,168],"orchestrated":[67],"between":[68],"device":[71],"and":[72,81,167,195],"edge,":[74],"which":[75,151],"respectively":[76],"execute":[77],"layers":[79],"before":[80],"after":[82],"bottleneck.":[84],"As":[85],"yet,":[86],"concept":[88],"not":[93,111],"applied":[95],"Moreover,":[99,144],"in":[100,113,163,180,214],"existing":[101],"work,":[102],"dynamic":[104,231],"nature":[105],"wireless":[108],"channel":[109,142,161,178],"considered":[112],"bottleneck":[115,133,171],"design.":[116],"In":[117],"this":[118],"paper,":[119],"we":[120,145],"propose":[121],"Split":[122],"Computing":[123],"Enhancing":[124],"Signal":[125],"Awareness":[126],"(SpliCES),":[127],"new":[129],"approach":[130],"where":[131],"adapted":[135],"inference":[137],"time":[138],"according":[139],"ongoing":[141],"conditions.":[143],"present":[146],"novel":[148],"training":[149],"strategy":[150],"optimizes":[152],"bottleneck-injected":[154],"ensemble":[155],"parameters":[156],"generalize":[158],"all":[160],"conditions":[162],"its":[164,230],"first":[165],"stage,":[166],"specializes":[169],"each":[170],"separately":[172],"certain":[175],"level":[176],"impairment":[179],"second":[182],"stage.":[183],"We":[184],"evaluate":[185],"SpliCES":[186,223],"on":[187,198],"well-known":[189],"RadioML":[190],"dataset":[191],"modulation":[193],"recognition,":[194],"show":[196],"average,":[199],"our":[200],"proposed":[201],"method":[202],"transmits":[203],"12x":[204],"less":[205],"data":[206],"while":[207],"experiencing":[208],"only":[209],"about":[210],"3%":[211],"accuracy":[212,227],"drop":[213],"high":[215],"signal-to-noise":[216],"ratio":[217],"(SNR)":[218],"regimes.":[219],"With":[220],"low":[221],"SNR,":[222],"achieves":[224],"5%":[225],"better":[226],"thanks":[228],"structure.":[232]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}