{"id":"https://openalex.org/W4414539234","doi":"https://doi.org/10.1109/icc52391.2025.11161931","title":"Collaborative Knowledge Sharing-Empowered Effective Semantic Rate Maximization for Two-Tier Semantic-Bit Communication Networks","display_name":"Collaborative Knowledge Sharing-Empowered Effective Semantic Rate Maximization for Two-Tier Semantic-Bit Communication Networks","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4414539234","doi":"https://doi.org/10.1109/icc52391.2025.11161931"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11161931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","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/A5100420460","display_name":"Hong Chen","orcid":"https://orcid.org/0000-0003-0879-5090"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Hong Chen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Western University,London,ON,Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Western University,London,ON,Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386867","display_name":"Fang Fang","orcid":"https://orcid.org/0000-0002-6582-6570"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fang Fang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Western University,London,ON,Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Western University,London,ON,Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107634126","display_name":"Xianbin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xianbin Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Western University,London,ON,Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Western University,London,ON,Canada","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100420460"],"corresponding_institution_ids":["https://openalex.org/I125749732"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27847586,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"06"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9911999702453613,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9911999702453613,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13182","display_name":"Quantum-Dot Cellular Automata","score":0.975600004196167,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/maximization","display_name":"Maximization","score":0.5715000033378601},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.541100025177002},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5051000118255615},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.45680001378059387},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.40299999713897705},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.3878999948501587},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.38280001282691956},{"id":"https://openalex.org/keywords/knowledge-sharing","display_name":"Knowledge sharing","score":0.3580000102519989},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.34369999170303345}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8615999817848206},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5715000033378601},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.541100025177002},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5051000118255615},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.45680001378059387},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.40299999713897705},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.3878999948501587},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.38280001282691956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36309999227523804},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36230000853538513},{"id":"https://openalex.org/C2776604539","wikidata":"https://www.wikidata.org/wiki/Q6423395","display_name":"Knowledge sharing","level":2,"score":0.3580000102519989},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.34369999170303345},{"id":"https://openalex.org/C85407183","wikidata":"https://www.wikidata.org/wiki/Q1045785","display_name":"Semantic network","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3325999975204468},{"id":"https://openalex.org/C115527620","wikidata":"https://www.wikidata.org/wiki/Q769909","display_name":"Nonlinear programming","level":3,"score":0.3167000114917755},{"id":"https://openalex.org/C2778180026","wikidata":"https://www.wikidata.org/wiki/Q18378163","display_name":"Semantic heterogeneity","level":4,"score":0.31119999289512634},{"id":"https://openalex.org/C110157686","wikidata":"https://www.wikidata.org/wiki/Q922122","display_name":"Broadcasting (networking)","level":2,"score":0.3059000074863434},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29670000076293945},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2957000136375427},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29170000553131104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29019999504089355},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.2619999945163727},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.2599000036716461},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C95491727","wikidata":"https://www.wikidata.org/wiki/Q992968","display_name":"Mobile telephony","level":3,"score":0.25540000200271606},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.2524000108242035},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc52391.2025.11161931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","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":15,"referenced_works":["https://openalex.org/W2788350651","https://openalex.org/W2902118083","https://openalex.org/W4225009676","https://openalex.org/W4365420366","https://openalex.org/W4376480838","https://openalex.org/W4384129865","https://openalex.org/W4385820050","https://openalex.org/W4387717464","https://openalex.org/W4387717661","https://openalex.org/W4387870180","https://openalex.org/W4390357418","https://openalex.org/W4391093002","https://openalex.org/W4395680411","https://openalex.org/W4401070271","https://openalex.org/W4403675538"],"related_works":[],"abstract_inverted_index":{"Effective":[0],"task-oriented":[1],"semantic":[2,18,70,93,100],"communications":[3,83],"relies":[4],"on":[5],"perfect":[6],"knowledge":[7,25,37,68,121],"alignment":[8],"between":[9],"transmitters":[10],"and":[11,27,39,48,57,81,102,126,133,149,152],"receivers":[12],"for":[13],"accurate":[14],"recovery":[15],"of":[16,115,163],"task-related":[17],"information,":[19],"which":[20],"can":[21,140],"be":[22,141],"susceptible":[23],"to":[24,43,45,84,112,130],"misalignment":[26],"performance":[28,162],"degradation":[29],"in":[30,73,167],"practice.":[31],"To":[32],"tackle":[33],"this":[34,61],"issue,":[35],"continual":[36],"updating":[38],"sharing":[40,122],"are":[41],"crucial":[42],"adapt":[44],"evolving":[46],"task":[47,131],"user":[49],"related":[50],"demands,":[51],"despite":[52],"the":[53,160],"incurred":[54],"resource":[55],"overhead":[56],"increased":[58],"latency.":[59],"In":[60],"paper,":[62],"we":[63,104],"propose":[64],"a":[65,74,90,106],"novel":[66],"collaborative":[67],"sharing-empowered":[69],"transmission":[71,94],"mechanism":[72],"two-tier":[75],"edge":[76,79],"network,":[77],"exploiting":[78],"cooperations":[80],"bit":[82],"address":[85],"KB":[86],"mismatch.":[87],"By":[88],"deriving":[89],"generalized":[91],"effective":[92],"rate":[95],"(GESTR)":[96],"that":[97],"considers":[98],"both":[99],"accuracy":[101,132],"overhead,":[103],"formulate":[105],"mixed":[107],"integer":[108],"nonlinear":[109],"programming":[110,146],"problem":[111],"maximize":[113],"GESTR":[114],"all":[116],"mobile":[117],"devices":[118],"by":[119,143],"optimizing":[120],"decisions,":[123],"extraction":[124],"ratios,":[125],"BS/subchannel":[127],"allocations,":[128],"subject":[129],"delay":[134],"requirements.":[135],"The":[136],"joint":[137],"optimum":[138],"solution":[139],"obtained":[142],"proposed":[144,164],"fractional":[145],"based":[147],"branch":[148],"bound":[150],"algorithm":[151,155],"modified":[153],"Kuhn-Munkres":[154],"efficiently.":[156],"Simulation":[157],"results":[158],"demonstrate":[159],"superior":[161],"solution,":[165],"especially":[166],"low":[168],"signal-to-noise":[169],"conditions.":[170]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}