{"id":"https://openalex.org/W4402158774","doi":"https://doi.org/10.1109/icc51166.2024.10623127","title":"Performance Optimization of Semantic Communications for Users with Heterogeneous Knowledge","display_name":"Performance Optimization of Semantic Communications for Users with Heterogeneous Knowledge","publication_year":2024,"publication_date":"2024-06-09","ids":{"openalex":"https://openalex.org/W4402158774","doi":"https://doi.org/10.1109/icc51166.2024.10623127"},"language":"en","primary_location":{"id":"doi:10.1109/icc51166.2024.10623127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc51166.2024.10623127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - 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/A5063837526","display_name":"Jiantong Zhang","orcid":"https://orcid.org/0000-0003-1890-1117"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiantong Zhang","raw_affiliation_strings":["Beijing Laboratory of Advanced Information Network, Beijing University of Posts and Telecommunications,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Advanced Information Network, Beijing University of Posts and Telecommunications,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072241033","display_name":"Mingzhe Chen","orcid":"https://orcid.org/0000-0003-2570-703X"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingzhe Chen","raw_affiliation_strings":["University of Miami,Department of Electrical and Computer Engineering and Institute for Data Science and Computing,Coral Gables,FL,USA,33146"],"affiliations":[{"raw_affiliation_string":"University of Miami,Department of Electrical and Computer Engineering and Institute for Data Science and Computing,Coral Gables,FL,USA,33146","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060065181","display_name":"Yujiao Zhu","orcid":"https://orcid.org/0000-0001-7429-6463"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujiao Zhu","raw_affiliation_strings":["Beijing Laboratory of Advanced Information Network, Beijing University of Posts and Telecommunications,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Advanced Information Network, Beijing University of Posts and Telecommunications,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106954325","display_name":"He Shihao","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"H. Shihao","raw_affiliation_strings":["Beijing Laboratory of Advanced Information Network, Beijing University of Posts and Telecommunications,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Advanced Information Network, Beijing University of Posts and Telecommunications,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002713029","display_name":"Tao Luo","orcid":"https://orcid.org/0000-0003-4870-5942"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Luo","raw_affiliation_strings":["Beijing Laboratory of Advanced Information Network, Beijing University of Posts and Telecommunications,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Advanced Information Network, Beijing University of Posts and Telecommunications,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101764889","display_name":"Zhilong Zhang","orcid":"https://orcid.org/0000-0002-9328-9098"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhilong Zhang","raw_affiliation_strings":["Beijing Laboratory of Advanced Information Network, Beijing University of Posts and Telecommunications,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Advanced Information Network, Beijing University of Posts and Telecommunications,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5063837526"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":1.8316,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86385989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"5515","last_page":"5520"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9980000257492065,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9815000295639038,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13382","display_name":"Robotics and Automated Systems","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/computer-science","display_name":"Computer science","score":0.7893111109733582},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.3292979896068573}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7893111109733582},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3292979896068573}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc51166.2024.10623127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc51166.2024.10623127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2015320000","display_name":null,"funder_award_id":"62171047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G89601903","display_name":null,"funder_award_id":"2019YFC1709202","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2786660442","https://openalex.org/W2963718112","https://openalex.org/W2970641574","https://openalex.org/W3199651421","https://openalex.org/W3203789000","https://openalex.org/W3214462705","https://openalex.org/W4226049867","https://openalex.org/W4285174063","https://openalex.org/W4285742007","https://openalex.org/W4286374862","https://openalex.org/W4313350220","https://openalex.org/W4315588779","https://openalex.org/W4315777457","https://openalex.org/W4380303575","https://openalex.org/W4381802353","https://openalex.org/W4387010818","https://openalex.org/W4387870810","https://openalex.org/W6849758930"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"In":[0,21],"this":[1,226],"paper,":[2],"a":[3,8,60,112,242,247,263],"semantic":[4,28,50,73,100,143,152,174,208,213,243,254,279],"communication":[5],"framework":[6,275],"for":[7,89],"scenario":[9],"where":[10],"the":[11,14,22,25,31,41,48,57,63,66,72,76,79,90,95,99,102,107,117,122,125,128,131,134,136,140,147,150,155,158,161,167,171,196,201,204,212,219,252,273,278,299,306,309,312,315],"transmitter":[12,26,64,77,103,137,162,168,202],"and":[13,37,130,154,177,203,246,258,288],"receiver":[15,44,67,80,96,129,205],"have":[16,81,86],"different":[17,82,87],"knowledge":[18,36,58,109,313],"is":[19,185,193,234],"proposed.":[20,235],"proposed":[23,237,274],"framework,":[24],"extracts":[27],"information":[29,51,144,153,175,209,244,255],"from":[30],"data":[32],"according":[33],"to":[34,40,46,70,105,181,194,221,285,292,305],"its":[35,54],"sends":[38],"it":[39],"receiver.":[42,316],"The":[43,236],"requires":[45,104],"process":[47,71],"received":[49],"based":[52],"on":[53],"knowledge.":[55],"Here,":[56],"implies":[59],"method":[61,141,172],"which":[62,239],"or":[65,78],"can":[68,97,138,163,250,276,289],"use":[69],"information.":[74,92],"Since":[75,146],"knowledge,":[83],"they":[84],"may":[85],"understandings":[88],"same":[91],"To":[93,224],"ensure":[94],"understand":[98],"information,":[101],"estimate":[106],"receiver's":[108],"by":[110,206,217,262,283],"asking":[111],"series":[113],"of":[114,127,133,142,149,157,173,198,200,215,241,281,298,302,311,314],"questions":[115,159,180,220],"about":[116],"transmitted":[118],"data.":[119],"By":[120],"evaluating":[121],"difference":[123],"between":[124,266],"answers":[126,132,199,216,282],"transmitter,":[135],"adjust":[139,170],"extraction.":[145],"size":[148],"extracted":[151],"number":[156],"that":[160,272],"ask":[164],"are":[165],"limited,":[166],"must":[169],"extraction":[176],"select":[178],"appropriate":[179],"transmit.":[182],"This":[183],"problem":[184,190],"formulated":[186],"as":[187],"an":[188,228],"optimization":[189],"whose":[191],"goal":[192],"maximize":[195],"similarity":[197,214,280,301],"determining":[207,218],"while":[210],"minimizing":[211],"be":[222],"transmitted.":[223],"solve":[225],"problem,":[227],"adversarial":[229],"reinforcement":[230],"learning":[231],"(ARL)":[232],"algorithm":[233,307],"algorithm,":[238],"consists":[240],"RL":[245],"question":[248,259],"RL,":[249],"find":[251],"optimal":[253],"generation":[256],"scheme":[257,261],"selection":[260],"competitive":[264],"game":[265],"two":[267],"agents.":[268],"Simulation":[269],"results":[270],"demonstrate":[271],"improve":[277],"up":[284,291],"3.7%":[286],"gain":[287,295],"achieve":[290],"15.2":[293],"%":[294],"in":[296],"terms":[297],"average":[300],"texts":[303],"compared":[304],"without":[308],"estimation":[310]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
