{"id":"https://openalex.org/W7128012541","doi":"https://doi.org/10.48550/arxiv.2602.04652","title":"Six Times to Spare: Characterizing GPU-Accelerated 5G LDPC Decoding for Edge-RSU Communications","display_name":"Six Times to Spare: Characterizing GPU-Accelerated 5G LDPC Decoding for Edge-RSU Communications","publication_year":2026,"publication_date":"2026-02-04","ids":{"openalex":"https://openalex.org/W7128012541","doi":"https://doi.org/10.48550/arxiv.2602.04652"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.04652","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125169028","display_name":"Ryan Barker","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Barker, Ryan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081092345","display_name":"Julia Boone","orcid":"https://orcid.org/0009-0001-0647-8211"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Boone, Julia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128644456","display_name":"Tolunay Seyfi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seyfi, Tolunay","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128651894","display_name":"Alireza Ebrahimi Dorcheh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dorcheh, Alireza Ebrahimi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128633249","display_name":"Fatemeh Afghah","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Afghah, Fatemeh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128680147","display_name":"Joseph Boccuzzi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Boccuzzi, Joseph","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10588272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.2761000096797943,"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":0.2761000096797943,"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/T13905","display_name":"Telecommunications and Broadcasting Technologies","score":0.18569999933242798,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.09040000289678574,"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/decoding-methods","display_name":"Decoding methods","score":0.6538000106811523},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5658000111579895},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5583999752998352},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4672999978065491},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4269999861717224},{"id":"https://openalex.org/keywords/low-density-parity-check-code","display_name":"Low-density parity-check code","score":0.383899986743927},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3824999928474426},{"id":"https://openalex.org/keywords/central-processing-unit","display_name":"Central processing unit","score":0.3752000033855438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.784500002861023},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6538000106811523},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5658000111579895},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5583999752998352},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5496000051498413},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4672999978065491},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4269999861717224},{"id":"https://openalex.org/C67692717","wikidata":"https://www.wikidata.org/wiki/Q187444","display_name":"Low-density parity-check code","level":3,"score":0.383899986743927},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3824999928474426},{"id":"https://openalex.org/C49154492","wikidata":"https://www.wikidata.org/wiki/Q5300","display_name":"Central processing unit","level":2,"score":0.3752000033855438},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.3515999913215637},{"id":"https://openalex.org/C19275194","wikidata":"https://www.wikidata.org/wiki/Q222903","display_name":"Multiplexing","level":2,"score":0.335099995136261},{"id":"https://openalex.org/C16320812","wikidata":"https://www.wikidata.org/wiki/Q1812200","display_name":"Idle","level":2,"score":0.3264000117778778},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3237000107765198},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.3197999894618988},{"id":"https://openalex.org/C193969084","wikidata":"https://www.wikidata.org/wiki/Q7452500","display_name":"Sequential decoding","level":4,"score":0.2962000072002411},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.2897999882698059},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.26249998807907104}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.04652","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.04652","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.04652","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.04652","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Ultra-reliable":[0],"low-latency":[1],"vehicular":[2,181],"communications":[3],"(URLLC)":[4],"require":[5],"sufficient":[6],"physical-layer":[7],"(PHY)":[8],"compute":[9,89,147,177],"headroom":[10,90],"at":[11],"the":[12,82,88,151,155],"network":[13],"edge,":[14],"where":[15],"roadside":[16],"units":[17,71],"(RSUs)":[18],"and":[19,58,111,118,145,194],"compact":[20,99,180],"next-generation":[21],"base":[22],"stations":[23],"(gNBs)":[24],"must":[25],"meet":[26],"strict":[27],"timing":[28,160,195],"constraints":[29],"while":[30],"co-hosting":[31],"higher-layer":[32],"services.":[33],"In":[34],"5G":[35],"New":[36],"Radio":[37],"(5G":[38],"NR),":[39],"low-density":[40],"parity-check":[41],"code":[42],"(LDPC)":[43],"decoding":[44],"is":[45],"a":[46,64,76,112],"latency-sensitive":[47],"iterative":[48],"PHY":[49,176],"workload":[50,56],"whose":[51],"cost":[52],"scales":[53],"with":[54,121],"both":[55],"parallelism":[57],"decoder":[59,105],"iteration":[60,119],"budget,":[61],"making":[62,184],"it":[63],"potential":[65],"bottleneck":[66],"on":[67,98,123],"general-purpose":[68],"central":[69],"processing":[70,94],"(CPUs).":[72],"This":[73],"paper":[74],"presents":[75],"reproducible,":[77],"telemetry-backed":[78],"microbenchmark":[79],"derived":[80],"from":[81,150],"Sionna":[83],"LDPC5G":[84],"baseline":[85],"to":[86,128],"characterize":[87],"obtained":[91],"through":[92],"graphics":[93],"unit":[95],"(GPU)":[96],"offload":[97,171],"heterogeneous":[100],"edge":[101,129,182,192],"platforms.":[102],"We":[103],"evaluate":[104],"behavior":[106],"across":[107],"multiple":[108],"processor":[109],"architectures":[110],"wide":[113],"range":[114],"of":[115,157],"batch":[116],"sizes":[117],"counts,":[120],"emphasis":[122],"dense":[124,185],"operating":[125],"regimes":[126],"relevant":[127],"provisioning.":[130],"Results":[131],"show":[132],"that":[133,169],"GPU":[134,170],"acceleration":[135],"substantially":[136],"increases":[137],"LDPC":[138],"throughput,":[139],"reduces":[140],"amortized":[141],"decode":[142,186],"service":[143],"time,":[144],"shifts":[146],"pressure":[148],"away":[149],"CPU,":[152],"thereby":[153],"improving":[154],"feasibility":[156],"meeting":[158],"edge-RSU":[159],"budgets":[161],"under":[162],"heavy":[163],"parallel":[164],"workloads.":[165],"These":[166],"findings":[167],"indicate":[168],"can":[172],"provide":[173],"substantial":[174],"spare":[175],"margin":[178],"for":[179],"platforms,":[183],"workloads":[187],"more":[188],"practical":[189],"within":[190],"realistic":[191],"power":[193],"constraints.":[196]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-02-07T00:00:00"}