{"id":"https://openalex.org/W3114827551","doi":"https://doi.org/10.1109/ictc49870.2020.9289525","title":"A Low-complexity Neural BP Decoder with Network Pruning","display_name":"A Low-complexity Neural BP Decoder with Network Pruning","publication_year":2020,"publication_date":"2020-10-21","ids":{"openalex":"https://openalex.org/W3114827551","doi":"https://doi.org/10.1109/ictc49870.2020.9289525","mag":"3114827551"},"language":"en","primary_location":{"id":"doi:10.1109/ictc49870.2020.9289525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc49870.2020.9289525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","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/A5062658327","display_name":"Seokju Han","orcid":"https://orcid.org/0000-0001-9453-7033"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Seokju Han","raw_affiliation_strings":["School of Electrical Engineering, KAIST, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, KAIST, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064986629","display_name":"Jeongseok Ha","orcid":"https://orcid.org/0000-0003-1262-151X"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeongseok Ha","raw_affiliation_strings":["School of Electrical Engineering, KAIST, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, KAIST, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062658327"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.2651,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64912307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1098","last_page":"1100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9872000217437744,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9764000177383423,"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/pruning","display_name":"Pruning","score":0.837678074836731},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.8279085159301758},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8107932209968567},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6823402047157288},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6628710627555847},{"id":"https://openalex.org/keywords/soft-decision-decoder","display_name":"Soft-decision decoder","score":0.49976205825805664},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.4884840250015259},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4778178036212921},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4080141484737396},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38147538900375366},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08303910493850708}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.837678074836731},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8279085159301758},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8107932209968567},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6823402047157288},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6628710627555847},{"id":"https://openalex.org/C185588885","wikidata":"https://www.wikidata.org/wiki/Q7553811","display_name":"Soft-decision decoder","level":3,"score":0.49976205825805664},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4884840250015259},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4778178036212921},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4080141484737396},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38147538900375366},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08303910493850708},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc49870.2020.9289525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc49870.2020.9289525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4300000071525574,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2734408173","https://openalex.org/W2963408536","https://openalex.org/W2963674932"],"related_works":["https://openalex.org/W2150503081","https://openalex.org/W2391384657","https://openalex.org/W2362189222","https://openalex.org/W1970992653","https://openalex.org/W1605068943","https://openalex.org/W2161191727","https://openalex.org/W124224723","https://openalex.org/W2370631629","https://openalex.org/W3114827551","https://openalex.org/W2365813685"],"abstract_inverted_index":{"Existing":[0],"deep":[1],"learning-based":[2],"channel":[3],"decoders,":[4,7],"called":[5],"neural":[6,30,57,87,123],"suffer":[8],"from":[9],"demands":[10],"on":[11],"an":[12],"excessively":[13],"high":[14],"computational":[15],"complexity":[16,62,70],"and":[17],"large":[18],"memory":[19],"resource.":[20],"In":[21,44,97],"this":[22],"work,":[23],"we":[24,99,111],"will":[25,47,91],"show":[26],"that":[27,50],"a":[28,56,60,78,101,117],"low-complexity":[29],"belief":[31],"propagation":[32],"(BP)":[33],"decoder":[34,75],"can":[35,64],"be":[36,48,65,92],"constructed":[37],"by":[38,51],"utilizing":[39],"the":[40,68,73,85,105],"network":[41],"pruning":[42],"technique.":[43],"particular,":[45],"it":[46],"shown":[49],"removing":[52],"unimportant":[53],"edges":[54],"in":[55],"BP":[58,88,124],"decoder,":[59,89],"significant":[61],"gain":[63],"achieved.":[66],"When":[67],"decoding":[69],"is":[71],"fixed,":[72],"proposed":[74],"highly":[76],"achieves":[77],"notable":[79],"performance":[80,95],"improvement":[81],"as":[82],"compared":[83],"to":[84],"existing":[86],"which":[90,110],"demonstrated":[93],"with":[94],"evaluations.":[96],"addition,":[98],"conduct":[100],"preliminary":[102],"study":[103],"investigating":[104],"structure":[106],"of":[107,116,121],"pruned":[108],"edges,":[109],"believe":[112],"provides":[113],"some":[114],"clues":[115],"general":[118],"design":[119],"framework":[120],"practical":[122],"decoders.":[125]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
