{"id":"https://openalex.org/W7214042149","doi":"https://doi.org/10.48550/arxiv.2609.23388","title":"Online Wideband MIMO Channel Reconstruction from Periodically Swept RBs via Incremental CP Updates","display_name":"Online Wideband MIMO Channel Reconstruction from Periodically Swept RBs via Incremental CP Updates","publication_year":2026,"publication_date":"2026-09-20","ids":{"openalex":"https://openalex.org/W7214042149","doi":"https://doi.org/10.48550/arxiv.2609.23388"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2609.23388","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.23388","pdf_url":"https://arxiv.org/pdf/2609.23388","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,"listed_in":[],"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2609.23388","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5152478710","display_name":"Boxin Huang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Boxin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101376831","display_name":"Libin Zheng","orcid":"https://orcid.org/0009-0000-3985-4327","observed_orcids":["https://orcid.org/0009-0000-3985-4327"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Libin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005411245","display_name":"\u767d\u654f\u8339","orcid":"https://orcid.org/0000-0002-9960-6138","observed_orcids":["https://orcid.org/0000-0002-9960-6138"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bai, Minru","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5062972235","display_name":"Yuhao Jiang","orcid":"https://orcid.org/0000-0002-3636-0230","observed_orcids":["https://orcid.org/0000-0002-3636-0230"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Yuhao","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":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.5292999744415283,"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"}},"topics":[{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.5292999744415283,"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/T12303","display_name":"Tensor decomposition and applications","score":0.17720000445842743,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.039000000804662704,"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/canonical-polyadic-decomposition","display_name":"canonical polyadic decomposition","score":0.9229999780654907},{"id":"https://openalex.org/keywords/conjugate-gradient-method","display_name":"conjugate gradient method","score":0.6079999804496765},{"id":"https://openalex.org/keywords/pilot-based-channel-estimation","display_name":"pilot-based channel estimation","score":0.6299999952316284}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7616999745368958},{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.6802999973297119},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5910999774932861},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5814999938011169},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5631999969482422},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5113000273704529},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5087000131607056},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.4681999981403351},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45739999413490295},{"id":"https://openalex.org/C49456836","wikidata":"https://www.wikidata.org/wiki/Q666814","display_name":"Delay spread","level":4,"score":0.41990000009536743},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.4113999903202057},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.36250001192092896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3612000048160553},{"id":"https://openalex.org/C71907059","wikidata":"https://www.wikidata.org/wiki/Q223323","display_name":"Root mean square","level":2,"score":0.3425999879837036},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.33559998869895935},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.287200003862381},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.28630000352859497},{"id":"https://openalex.org/C135393689","wikidata":"https://www.wikidata.org/wiki/Q1551588","display_name":"Phaser","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.27219998836517334},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.2669000029563904},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.2621999979019165},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.25540000200271606}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2609.23388","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.23388","pdf_url":"https://arxiv.org/pdf/2609.23388","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,"listed_in":[],"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2609.23388","doi":"https://doi.org/10.48550/arxiv.2609.23388","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2609.23388","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,"listed_in":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2609.23388","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.23388","pdf_url":"https://arxiv.org/pdf/2609.23388","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,"listed_in":[],"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7214042149.pdf","grobid_xml":"https://content.openalex.org/works/W7214042149.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W2897776801","https://openalex.org/W7151866378"],"related_works":["https://openalex.org/W4416156947","https://openalex.org/W2371351820","https://openalex.org/W2024666521","https://openalex.org/W7138450042","https://openalex.org/W3173014310","https://openalex.org/W4388773730","https://openalex.org/W3200552377","https://openalex.org/W2741240030","https://openalex.org/W2970840827","https://openalex.org/W2093482495"],"abstract_inverted_index":{"Periodic":[0],"resource-block":[1],"(RB)":[2],"scanning":[3],"leaves":[4],"most":[5],"of":[6,15,159],"the":[7,32],"current":[8],"wideband":[9],"channel":[10,34],"unobserved":[11],"and":[12,43,46,59,89,119,131],"mixes":[13],"measurements":[14],"different":[16],"ages.":[17],"We":[18],"develop":[19],"an":[20,51],"online":[21,140],"canonical":[22],"polyadic":[23],"tracker":[24],"with":[25,93,174],"proximal":[26],"block":[27],"updates":[28,173],"(CP-PBCD)":[29],"that":[30],"reconstructs":[31],"full":[33],"after":[35],"each":[36],"narrow-RB":[37],"acquisition.":[38,96],"Age-weighted":[39],"finite":[40],"histories,":[41],"frequency":[42,62],"temporal":[44],"regularization,":[45],"bounded":[47],"component":[48],"management":[49],"maintain":[50],"adaptive":[52],"low-rank":[53],"representation.":[54],"Two":[55],"warm-started":[56],"conjugate-gradient":[57],"iterations":[58],"parallel":[60],"shifted":[61],"solves":[63],"provide":[64],"a":[65,150,155],"fixed":[66],"per-frame":[67],"update":[68],"budget.":[69],"Training-user":[70],"spatial":[71],"projection":[72],"strengthens":[73],"noise":[74],"suppression":[75],"at":[76],"low":[77],"pilot":[78,163],"SNR.":[79],"Experiments":[80],"cover":[81],"ten":[82],"test":[83],"users,":[84],"three":[85],"speeds,":[86],"four":[87],"SNRs,":[88],"complete":[90],"1000-frame":[91],"trajectories":[92],"1-ms":[94],"RB":[95],"Direct":[97],"first-RB":[98],"CP-PBCD":[99],"achieves":[100],"lower":[101],"mean":[102,104],"normalized":[103],"squared":[105],"error":[106],"(NMSE)":[107],"than":[108],"all":[109,113],"six":[110],"baselines":[111],"in":[112],"twelve":[114],"conditions.":[115],"At":[116],"3.6":[117],"km/h":[118],"20":[120],"dB,":[121],"it":[122],"improves":[123],"on":[124],"periodic":[125],"physical":[126],"refitting":[127],"by":[128],"3.91":[129],"dB":[130,161],"runs":[132],"35.1":[133],"times":[134],"faster,":[135],"averaging":[136],"0.717":[137],"ms":[138],"per":[139],"update.":[141],"Optional":[142],"dispersed":[143],"startup":[144],"pilots":[145],"improve":[146],"early":[147],"acquisition,":[148],"while":[149],"controlled":[151],"initialization":[152],"study":[153],"yields":[154],"last-100-frame":[156],"NMSE":[157],"range":[158],"0.427":[160],"across":[162],"budgets.":[164],"These":[165],"results":[166],"demonstrate":[167],"accurate":[168],"current-channel":[169],"reconstruction":[170],"through":[171],"incremental":[172],"submillisecond":[175],"average":[176],"computation.":[177]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-09-23T00:00:00"}