{"id":"https://openalex.org/W3004562189","doi":"https://doi.org/10.1109/asicon47005.2019.8983589","title":"ANN Based Adaptive Successive Cancellation List Decoder for Polar Codes","display_name":"ANN Based Adaptive Successive Cancellation List Decoder for Polar Codes","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3004562189","doi":"https://doi.org/10.1109/asicon47005.2019.8983589","mag":"3004562189"},"language":"en","primary_location":{"id":"doi:10.1109/asicon47005.2019.8983589","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asicon47005.2019.8983589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 13th International Conference on ASIC (ASICON)","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/A5035766448","display_name":"Wenqing Song","orcid":"https://orcid.org/0000-0002-8806-8717"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wenqing Song","raw_affiliation_strings":["Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS)"],"affiliations":[{"raw_affiliation_string":"Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009522891","display_name":"Yuxiang Fu","orcid":"https://orcid.org/0000-0003-1351-5460"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiang Fu","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041745327","display_name":"Qinyu Chen","orcid":"https://orcid.org/0009-0005-9480-6164"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinyu Chen","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361021","display_name":"Li Li","orcid":"https://orcid.org/0000-0001-7303-2538"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Li","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100380082","display_name":"Chuan Zhang","orcid":"https://orcid.org/0000-0002-7736-6487"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Zhang","raw_affiliation_strings":["Purple Mountain Laboratories, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035766448"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5306,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.70824649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T12029","display_name":"DNA and Biological Computing","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.993399977684021,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8255310654640198},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6913284063339233},{"id":"https://openalex.org/keywords/polar-code","display_name":"Polar code","score":0.6874551773071289},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5602653622627258},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.531272292137146},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5244327187538147},{"id":"https://openalex.org/keywords/soft-decision-decoder","display_name":"Soft-decision decoder","score":0.49366793036460876},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4930360019207001},{"id":"https://openalex.org/keywords/polar","display_name":"Polar","score":0.45624274015426636},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4457458257675171},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.43557536602020264},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3872424066066742},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3468385338783264},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1536121368408203},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10722234845161438},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08379873633384705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8255310654640198},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6913284063339233},{"id":"https://openalex.org/C2778396592","wikidata":"https://www.wikidata.org/wiki/Q7209069","display_name":"Polar code","level":3,"score":0.6874551773071289},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5602653622627258},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.531272292137146},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5244327187538147},{"id":"https://openalex.org/C185588885","wikidata":"https://www.wikidata.org/wiki/Q7553811","display_name":"Soft-decision decoder","level":3,"score":0.49366793036460876},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4930360019207001},{"id":"https://openalex.org/C29705727","wikidata":"https://www.wikidata.org/wiki/Q294562","display_name":"Polar","level":2,"score":0.45624274015426636},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4457458257675171},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.43557536602020264},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3872424066066742},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3468385338783264},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1536121368408203},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10722234845161438},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08379873633384705},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asicon47005.2019.8983589","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asicon47005.2019.8983589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 13th International Conference on ASIC (ASICON)","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/W183754908","https://openalex.org/W1522301498","https://openalex.org/W1988115241","https://openalex.org/W2033234285","https://openalex.org/W2051040090","https://openalex.org/W2062996878","https://openalex.org/W2134750166","https://openalex.org/W2150498905","https://openalex.org/W2583411974","https://openalex.org/W2584943905","https://openalex.org/W2770861014","https://openalex.org/W2898694298","https://openalex.org/W2962992649","https://openalex.org/W2964121744","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W4293869169","https://openalex.org/W1576634684","https://openalex.org/W4296442207","https://openalex.org/W2081255839","https://openalex.org/W2952371090","https://openalex.org/W2045276811","https://openalex.org/W4379115729","https://openalex.org/W2962614104","https://openalex.org/W2062996878","https://openalex.org/W2981981287"],"abstract_inverted_index":{"Combined":[0],"with":[1,20,32,99,120,144,153],"cyclic":[2],"redundancy":[3],"check":[4],"(CRC),":[5],"SC":[6],"list":[7,22,34,42,72,102,171],"(SCL)":[8],"decoder":[9,98,136,148,166],"can":[10,137],"achieve":[11,138],"outstanding":[12],"error":[13],"correction":[14],"performance,":[15],"which":[16,182],"is":[17,57,77,92,116,173,179],"more":[18],"obvious":[19],"increasing":[21],"size.":[23,35],"However,":[24],"the":[25,33,39,71,88,95,100,106,113,121,129,145,150,163,169,176,185],"corresponding":[26],"decoding":[27],"complexity":[28,115,141],"and":[29,156,175],"latency":[30],"increase":[31],"To":[36],"this":[37,60],"end,":[38],"selection":[40],"of":[41,162],"size":[43,73,172],"becomes":[44],"essential":[45],"for":[46,149],"practical":[47],"applications.":[48],"A":[49],"new":[50],"artificial":[51],"neural":[52],"network":[53],"(ANN)":[54],"based":[55,86,133,167],"framework":[56],"proposed":[58,89,130,174],"in":[59,105],"paper":[61],"to":[62,94],"design":[63],"a":[64],"hardware-friendly":[65],"adaptive":[66,134,164],"SCL":[67,97,135,147,165],"(DL-ASCL)":[68],"decoder.":[69],"First,":[70],"at":[74],"each":[75],"stage":[76],"predicted":[78,170],"by":[79,188],"an":[80],"ANN":[81],"predictor.":[82],"The":[83,159],"performance":[84],"achieved":[85],"on":[87,168],"DL-ASCL":[90],"algorithm":[91],"close":[93],"optimal":[96],"same":[101],"size,":[103],"especially":[104],"high":[107],"signal-to-noise":[108],"ratio":[109],"(SNR)":[110],"region.":[111],"Meanwhile,":[112],"computational":[114,140],"significantly":[117],"reduced":[118],"compared":[119,143],"conventional":[122,146],"ones.":[123],"Numerical":[124],"results":[125],"have":[126],"demonstrated":[127],"that":[128],"deep":[131],"learning":[132],"56%":[139],"reduction":[142],"polar":[151],"code":[152],"length":[154],"128":[155],"rate":[157],"1/2.":[158],"hardware":[160,186],"architecture":[161],"folding":[177],"technique":[178],"also":[180],"adopted,":[181],"helps":[183],"reduce":[184],"cost":[187],"about":[189],"25%.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
