{"id":"https://openalex.org/W4290994023","doi":"https://doi.org/10.1109/icc45855.2022.9838394","title":"Radius Domain-Based Importance Sampling Estimator for Linear Block Codes over the AWGN Channel","display_name":"Radius Domain-Based Importance Sampling Estimator for Linear Block Codes over the AWGN Channel","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4290994023","doi":"https://doi.org/10.1109/icc45855.2022.9838394"},"language":"en","primary_location":{"id":"doi:10.1109/icc45855.2022.9838394","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9838394","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2022 - 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/A5082350094","display_name":"Jinzhe Pan","orcid":"https://orcid.org/0000-0002-5170-8880"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Jinzhe Pan","raw_affiliation_strings":["Hong Kong University of Science and Technology,Department of Electronic and Computer Engineering,Clear Water Bay,Hong Kong","Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology,Department of Electronic and Computer Engineering,Clear Water Bay,Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065074102","display_name":"Wai Ho Mow","orcid":"https://orcid.org/0000-0003-1804-0476"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wai Ho Mow","raw_affiliation_strings":["Hong Kong University of Science and Technology,Department of Electronic and Computer Engineering,Clear Water Bay,Hong Kong","Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology,Department of Electronic and Computer Engineering,Clear Water Bay,Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082350094"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":0.4296,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46673122,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1343","last_page":"1348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9998999834060669,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9998999834060669,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9993000030517578,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9954000115394592,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7368427515029907},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.649965763092041},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5109997987747192},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5084935426712036},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49930620193481445},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.46215301752090454},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.4524499177932739},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.412916898727417},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.39002132415771484},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3830152750015259},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3746604323387146},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.21593353152275085},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12325367331504822}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7368427515029907},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.649965763092041},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5109997987747192},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5084935426712036},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49930620193481445},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.46215301752090454},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.4524499177932739},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.412916898727417},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.39002132415771484},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3830152750015259},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3746604323387146},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.21593353152275085},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12325367331504822}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icc45855.2022.9838394","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9838394","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2022 - IEEE International Conference on Communications","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-116821","is_oa":false,"landing_page_url":"http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000864709901111","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-116821","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-116821","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1536930200","https://openalex.org/W1571774520","https://openalex.org/W2019264127","https://openalex.org/W2083233139","https://openalex.org/W2114869758","https://openalex.org/W2124347929","https://openalex.org/W2130532846","https://openalex.org/W2131034613","https://openalex.org/W2147632348","https://openalex.org/W2167900176","https://openalex.org/W2963829778","https://openalex.org/W3005635129","https://openalex.org/W3038286409","https://openalex.org/W4300877731"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W2101505280","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W2002793373","https://openalex.org/W2349547417","https://openalex.org/W4385769873","https://openalex.org/W4281634296","https://openalex.org/W4319161863","https://openalex.org/W2028334336"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"the":[3,8,16,23,27,31,38,52,65,70,77,82,99,103,108,111,115,118],"problem":[4],"of":[5,11,26,37,76,102,110,117],"efficiently":[6],"evaluating":[7],"error":[9],"performance":[10],"linear":[12],"block":[13],"codes":[14],"over":[15],"AWGN":[17],"channel":[18],"is":[19,61,86,105],"considered.":[20],"Based":[21],"on":[22,69,98],"geometric":[24],"structure":[25],"channel,":[28],"we":[29],"define":[30],"l":[32],"<inf":[33],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[34],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</inf>":[35],"-norm":[36],"noise":[39],"vector":[40],"as":[41,51],"a":[42],"random":[43],"variable":[44],"and":[45,114],"refer":[46],"to":[47,81],"its":[48],"sample":[49],"space":[50],"radius":[53,71],"domain.":[54,72],"A":[55],"minimum-variance":[56],"importance":[57],"sampling":[58],"(IS)":[59],"estimator":[60,79,113],"proposed":[62,78,112],"by":[63],"deriving":[64],"optimal":[66],"IS":[67,74,90,120],"distribution":[68],"The":[73,88],"gain":[75,91,121],"compared":[80],"Monte":[83],"Carlo":[84],"method":[85],"analyzed.":[87],"asymptotic":[89,119],"for":[92],"high":[93],"SNR,":[94],"which":[95],"only":[96],"depends":[97],"minimum":[100],"distance":[101],"code,":[104],"derived.":[106],"Finally,":[107],"effectiveness":[109],"accuracy":[116],"are":[122],"verified":[123],"through":[124],"simulation.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
