{"id":"https://openalex.org/W4364321874","doi":"https://doi.org/10.1109/lsp.2023.3266115","title":"Information Bottleneck-Inspired Type Based Multiple Access for Remote Estimation in IoT Systems","display_name":"Information Bottleneck-Inspired Type Based Multiple Access for Remote Estimation in IoT Systems","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4364321874","doi":"https://doi.org/10.1109/lsp.2023.3266115"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2023.3266115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3266115","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://kclpure.kcl.ac.uk/ws/files/204876060/2212.09337.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072881181","display_name":"Meiyi Zhu","orcid":"https://orcid.org/0000-0001-9695-6880"},"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":"Meiyi Zhu","raw_affiliation_strings":["Beijing Key Laboratory of Network System Architecture and Convergence, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9695-6880","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System Architecture and Convergence, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050046664","display_name":"Chunyan Feng","orcid":"https://orcid.org/0000-0002-4277-6857"},"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":"Chunyan Feng","raw_affiliation_strings":["Beijing Key Laboratory of Network System Architecture and Convergence, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4277-6857","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System Architecture and Convergence, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058648594","display_name":"Caili Guo","orcid":"https://orcid.org/0000-0001-8892-4520"},"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":"Caili Guo","raw_affiliation_strings":["Beijing Key Laboratory of Network System Architecture and Convergence, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8892-4520","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System Architecture and Convergence, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114949056","display_name":"Nan Jiang","orcid":"https://orcid.org/0000-0002-5337-890X"},"institutions":[{"id":"https://openalex.org/I4210155230","display_name":"Samsung (China)","ror":"https://ror.org/04yt00889","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210155230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Jiang","raw_affiliation_strings":["Samsung Research China-Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5337-890X","affiliations":[{"raw_affiliation_string":"Samsung Research China-Beijing, Beijing, China","institution_ids":["https://openalex.org/I4210155230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017736224","display_name":"Osvaldo Simeone","orcid":"https://orcid.org/0000-0001-9898-3209"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]},{"id":"https://openalex.org/I4210119896","display_name":"King's College School","ror":"https://ror.org/02bbqcn27","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210119896"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Osvaldo Simeone","raw_affiliation_strings":["King's Communications, Learning, and Information Processing (KCLIP) lab, CTR, Department of Engineering, King's College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0001-9898-3209","affiliations":[{"raw_affiliation_string":"King's Communications, Learning, and Information Processing (KCLIP) lab, CTR, Department of Engineering, King's College London, London, U.K","institution_ids":["https://openalex.org/I4210119896","https://openalex.org/I183935753"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5072881181"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":1.0225,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80366219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"30","issue":null,"first_page":"403","last_page":"407"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9994000196456909,"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":0.9994000196456909,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9988999962806702,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.7440930604934692},{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.722736120223999},{"id":"https://openalex.org/keywords/information-bottleneck-method","display_name":"Information bottleneck method","score":0.5655686855316162},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5388895869255066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49703267216682434},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4522193372249603},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.42945367097854614},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.41027718782424927},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32430437207221985},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.20759472250938416}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7440930604934692},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.722736120223999},{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.5655686855316162},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5388895869255066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49703267216682434},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4522193372249603},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.42945367097854614},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.41027718782424927},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32430437207221985},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.20759472250938416}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/lsp.2023.3266115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3266115","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:kclpure.kcl.ac.uk:openaire/dddf13f1-b07f-4759-ba21-cb795f06260b","is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/files/204876060/2212.09337.pdf","pdf_url":"https://kclpure.kcl.ac.uk/ws/files/204876060/2212.09337.pdf","source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhu, M, Feng, C, Guo, C, Jiang, N & Simeone, O 2023, 'Information Bottleneck-Inspired Type Based Multiple Access for Remote Estimation in IoT Systems', IEEE SIGNAL PROCESSING LETTERS, vol. 30, pp. 403-407. https://doi.org/10.1109/LSP.2023.3266115","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:kclpure.kcl.ac.uk:publications/dddf13f1-b07f-4759-ba21-cb795f06260b","is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/dddf13f1-b07f-4759-ba21-cb795f06260b","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhu, M, Feng, C, Guo, C, Jiang, N & Simeone, O 2023, 'Information Bottleneck-Inspired Type Based Multiple Access for Remote Estimation in IoT Systems', IEEE SIGNAL PROCESSING LETTERS, vol. 30, pp. 403-407. https://doi.org/10.1109/LSP.2023.3266115","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:kclpure.kcl.ac.uk:openaire/dddf13f1-b07f-4759-ba21-cb795f06260b","is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/files/204876060/2212.09337.pdf","pdf_url":"https://kclpure.kcl.ac.uk/ws/files/204876060/2212.09337.pdf","source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhu, M, Feng, C, Guo, C, Jiang, N & Simeone, O 2023, 'Information Bottleneck-Inspired Type Based Multiple Access for Remote Estimation in IoT Systems', IEEE SIGNAL PROCESSING LETTERS, vol. 30, pp. 403-407. https://doi.org/10.1109/LSP.2023.3266115","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6922287014","display_name":null,"funder_award_id":"EP/W024101/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4364321874.pdf","grobid_xml":"https://content.openalex.org/works/W4364321874.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W143174683","https://openalex.org/W2027531092","https://openalex.org/W2140227342","https://openalex.org/W2143050381","https://openalex.org/W2478708596","https://openalex.org/W2916723995","https://openalex.org/W2946889564","https://openalex.org/W2963174256","https://openalex.org/W3015715122","https://openalex.org/W3036851434","https://openalex.org/W3037829814","https://openalex.org/W3122074554","https://openalex.org/W3125937699","https://openalex.org/W3152973225","https://openalex.org/W3166791908","https://openalex.org/W3214462705","https://openalex.org/W4226115138","https://openalex.org/W4285265694","https://openalex.org/W4317927903","https://openalex.org/W6637108112","https://openalex.org/W6640963894","https://openalex.org/W6729906282"],"related_works":["https://openalex.org/W2381356463","https://openalex.org/W2368824897","https://openalex.org/W2012023010","https://openalex.org/W1508050556","https://openalex.org/W1910862367","https://openalex.org/W2379365082","https://openalex.org/W2370747590","https://openalex.org/W2030109976","https://openalex.org/W2369260257","https://openalex.org/W2389120450"],"abstract_inverted_index":{"Type-based":[0],"multiple":[1,7],"access":[2,8],"(TBMA)":[3],"is":[4,82],"a":[5,27,62,86,121,139],"semantics-aware":[6],"protocol":[9],"for":[10,66],"remote":[11],"inference.":[12],"In":[13,57,74],"TBMA,":[14],"codewords":[15,127],"are":[16,34],"reused":[17],"across":[18],"transmitting":[19],"sensors,":[20],"with":[21,85],"each":[22],"codeword":[23],"being":[24],"assigned":[25],"to":[26,96,98],"different":[28],"observation":[29],"value.":[30],"Existing":[31],"TBMA":[32,67],"protocols":[33],"based":[35,68,88,104],"on":[36,41,69,89,105],"fixed":[37],"shared":[38,80],"codebooks":[39],"and":[40,55,101,144,147],"conventional":[42],"maximum-likelihood":[43],"or":[44],"Bayesian":[45],"decoders,":[46],"which":[47,116],"require":[48],"knowledge":[49],"of":[50,53,126,138,142,151],"the":[51,70,75,79,111,124,136,149],"distributions":[52],"observations":[54],"channels.":[56],"this":[58],"letter,":[59],"we":[60],"propose":[61],"novel":[63],"design":[64,141],"principle":[65],"information":[71],"bottleneck":[72],"(IB).":[73],"proposed":[76],"IB-TBMA":[77,113,118],"protocol,":[78,115],"codebook":[81,143,152],"jointly":[83],"optimized":[84],"decoder":[87],"artificial":[90],"neural":[91,145],"networks":[92],"(ANNs),":[93],"so":[94],"as":[95],"adapt":[97],"source,":[99],"observations,":[100],"channel":[102],"statistics":[103],"data":[106],"only.":[107],"We":[108],"also":[109],"introduce":[110],"Compressed":[112],"(CIB-TBMA)":[114],"improves":[117],"by":[119],"enabling":[120],"reduction":[122],"in":[123],"number":[125],"via":[128],"an":[129],"IB-inspired":[130],"clustering":[131],"phase.":[132],"Numerical":[133],"results":[134],"demonstrate":[135],"importance":[137],"joint":[140],"decoder,":[146],"validate":[148],"benefits":[150],"compression.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}