{"id":"https://openalex.org/W4403420251","doi":"https://doi.org/10.1109/tvlsi.2024.3466474","title":"Efficient ORBGRAND Implementation With Parallel Noise Sequence Generation","display_name":"Efficient ORBGRAND Implementation With Parallel Noise Sequence Generation","publication_year":2024,"publication_date":"2024-10-15","ids":{"openalex":"https://openalex.org/W4403420251","doi":"https://doi.org/10.1109/tvlsi.2024.3466474"},"language":"en","primary_location":{"id":"doi:10.1109/tvlsi.2024.3466474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2024.3466474","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"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 Transactions on Very Large Scale Integration (VLSI) Systems","raw_type":"journal-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":null,"display_name":"Chao Ji","orcid":"https://orcid.org/0000-0003-3527-9788"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Ji","raw_affiliation_strings":["LEADS, National Mobile Communications Research Laboratory, Frontiers Science Center for Mobile Information Communication and Security, Southeast University, Nanjing, China","Frontiers Science Center for Mobile Information Communication and Security, LEADS, National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"LEADS, National Mobile Communications Research Laboratory, Frontiers Science Center for Mobile Information Communication and Security, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Frontiers Science Center for Mobile Information Communication and Security, LEADS, National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072916702","display_name":"Xiaohu You","orcid":"https://orcid.org/0000-0002-0809-8511"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohu You","raw_affiliation_strings":["LEADS, National Mobile Communications Research Laboratory, Frontiers Science Center for Mobile Information Communication and Security, Southeast University, Nanjing, China","Frontiers Science Center for Mobile Information Communication and Security, LEADS, National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"LEADS, National Mobile Communications Research Laboratory, Frontiers Science Center for Mobile Information Communication and Security, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Frontiers Science Center for Mobile Information Communication and Security, LEADS, National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380082","display_name":"Chuan Zhang","orcid":"https://orcid.org/0000-0002-7736-6487"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Zhang","raw_affiliation_strings":["LEADS, National Mobile Communications Research Laboratory, Frontiers Science Center for Mobile Information Communication and Security, Southeast University, Nanjing, China","Frontiers Science Center for Mobile Information Communication and Security, LEADS, National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"LEADS, National Mobile Communications Research Laboratory, Frontiers Science Center for Mobile Information Communication and Security, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Frontiers Science Center for Mobile Information Communication and Security, LEADS, National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083617223","display_name":"Christoph Studer","orcid":"https://orcid.org/0000-0001-8950-6267"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christoph Studer","raw_affiliation_strings":["Department of Information Technology and Electrical Engineering, ETH Z&#x00FC;rich, Z&#x00FC;rich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology and Electrical Engineering, ETH Z&#x00FC;rich, Z&#x00FC;rich, Switzerland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":1.4562,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83614461,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"33","issue":"2","first_page":"435","last_page":"448"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9621000289916992,"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"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9621000289916992,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5986068844795227},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5644534826278687},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4861697554588318},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4058888554573059},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19249603152275085},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0780525803565979}],"concepts":[{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5986068844795227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5644534826278687},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4861697554588318},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4058888554573059},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19249603152275085},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0780525803565979},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvlsi.2024.3466474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2024.3466474","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"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 Transactions on Very Large Scale Integration (VLSI) Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G646053297","display_name":null,"funder_award_id":"62122020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2033234285","https://openalex.org/W2045407304","https://openalex.org/W2103878826","https://openalex.org/W2106045225","https://openalex.org/W2121606987","https://openalex.org/W2127342417","https://openalex.org/W2128765501","https://openalex.org/W2150498905","https://openalex.org/W2167984742","https://openalex.org/W2169732368","https://openalex.org/W2284321898","https://openalex.org/W2954103209","https://openalex.org/W2962855623","https://openalex.org/W2975494984","https://openalex.org/W3045960439","https://openalex.org/W3088391629","https://openalex.org/W3208657910","https://openalex.org/W3211241230","https://openalex.org/W3212772463","https://openalex.org/W4226155489","https://openalex.org/W4293812300","https://openalex.org/W4310748967","https://openalex.org/W4360605854","https://openalex.org/W4393062321"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032"],"abstract_inverted_index":{"Guessing":[0],"random":[1],"additive":[2],"noise":[3,50,74,108],"decoding":[4,14],"(GRAND)":[5],"is":[6,24],"establishing":[7],"itself":[8],"as":[9,122,124],"a":[10,25,78,114,145,225,272,278],"universal":[11],"method":[12,82],"for":[13,224,271],"linear":[15],"block":[16],"codes,":[17],"and":[18,66,80,101,126,194,230,243],"ordered":[19],"reliability":[20],"bits":[21],"GRAND":[22],"(ORBGRAND)":[23],"hardware-friendly":[26,81,115],"variant":[27],"that":[28,43],"processes":[29],"soft-input":[30],"information.":[31],"In":[32],"this":[33],"work,":[34],"we":[35,76,112,136],"propose":[36],"an":[37],"efficient":[38],"hardware":[39],"implementation":[40],"of":[41,48,87,133,281],"ORBGRAND":[42,155,220,269],"significantly":[44],"reduces":[45],"the":[46,89,98,131,218,268],"cost":[47],"querying":[49],"sequences":[51,109],"with":[52,110,217,222],"slight":[53],"frame":[54],"error":[55],"rate":[56],"(FER)":[57],"performance":[58,100],"degradation.":[59],"Different":[60],"from":[61],"logistic":[62],"weight":[63],"order":[64],"(LWO)":[65],"improved":[67],"LWO":[68,85,223],"(iLWO)":[69],"typically":[70],"used":[71],"to":[72,96],"generate":[73,107],"sequences,":[75],"introduce":[77],"reduced-complexity":[79],"called":[83],"shift":[84,90],"(sLWO),":[86],"which":[88,119],"factor":[91],"can":[92],"be":[93],"chosen":[94],"empirically":[95],"trade":[97],"FER":[99,152,280],"query":[102],"complexity":[103],"well.":[104],"To":[105,129],"effectively":[106],"sLWO,":[111],"utilize":[113],"lookup-table":[116],"(LUT)-aided":[117],"strategy,":[118],"improves":[120],"throughput":[121,160,172,242],"well":[123],"area":[125,184,253],"energy":[127,206,265],"efficiency.":[128],"demonstrate":[130],"efficacy":[132],"our":[134,154],"solution,":[135],"use":[137],"synthesis":[138],"results":[139],"evaluated":[140],"on":[141],"polar":[142,228,275],"codes":[143],"in":[144],"65-nm":[146],"CMOS":[147],"technology.":[148],"While":[149],"maintaining":[150],"similar":[151],"performance,":[153],"implementations":[156],"achieve":[157],"53.6-Gbps":[158],"average":[159,241,252,264],"(<inline-formula":[161,173,186,208],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[162,174,187,196,209,234,245,257,283],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[163,175,188,197,210,235,246,258,284],"<tex-math":[164,176,189,198,211,236,247,259,285],"notation=\"LaTeX\">$1.26\\times":[165],"$":[166,178,191,213,238,249,261],"</tex-math></inline-formula>":[167,179,192,202,214,239,250,262],"higher),":[168,180,193],"4.2-Mbps":[169],"worst":[170,182,204],"case":[171,183,205],"notation=\"LaTeX\">$8.24\\times":[177],"2.4-Mbps/mm2":[181],"efficiency":[185,207,254,266],"notation=\"LaTeX\">$12\\times":[190],"<inline-formula":[195,233,244,256,282],"notation=\"LaTeX\">$4.66\\times":[199],"10":[200],"^{{4}}$":[201],"pJ/bit":[203],"notation=\"LaTeX\">$9.96\\times":[212],"lower)":[215],"compared":[216],"synthesized":[219],"design":[221],"(128,":[226],"105)":[227],"code":[229],"also":[231],"provide":[232],"notation=\"LaTeX\">$8.62\\times":[237],"higher":[240,251],"notation=\"LaTeX\">$9.4\\times":[248],"but":[255],"notation=\"LaTeX\">$7.51\\times":[260],"worse":[263],"than":[267],"chip":[270],"(256,":[273],"240)":[274],"code,":[276],"at":[277],"target":[279],"notation=\"LaTeX\">$10^{-7}$":[286],"</tex-math></inline-formula>.":[287]},"counts_by_year":[{"year":2025,"cited_by_count":6}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}