{"id":"https://openalex.org/W1761974990","doi":"https://doi.org/10.1109/tsp.2015.2449256","title":"Nested Sparse Approximation: Structured Estimation of V2V Channels Using Geometry-Based Stochastic Channel Model","display_name":"Nested Sparse Approximation: Structured Estimation of V2V Channels Using Geometry-Based Stochastic Channel Model","publication_year":2015,"publication_date":"2015-06-23","ids":{"openalex":"https://openalex.org/W1761974990","doi":"https://doi.org/10.1109/tsp.2015.2449256","mag":"1761974990"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2015.2449256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2015.2449256","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1412.2999","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086363139","display_name":"Sajjad Beygi","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sajjad Beygi","raw_affiliation_strings":["University of Southern California, School of Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California, School of Electrical Engineering","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072739163","display_name":"Urbashi Mitra","orcid":"https://orcid.org/0000-0002-8896-1177"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Urbashi Mitra","raw_affiliation_strings":["University of Southern California, School of Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California, School of Electrical Engineering","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081349499","display_name":"Erik G. Str\u00f6m","orcid":"https://orcid.org/0000-0002-3084-7232"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE","US"],"is_corresponding":false,"raw_author_name":"Erik G. Strom","raw_affiliation_strings":["Dept. of Signals and Systems, Chalmers University of Technology","University of Southern California, School of Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Signals and Systems, Chalmers University of Technology","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"University of Southern California, School of Electrical Engineering","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.7876,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.97248214,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"63","issue":"18","first_page":"4940","last_page":"4955"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9955000281333923,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9819999933242798,"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/channel","display_name":"Channel (broadcasting)","score":0.5232376456260681},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5121328830718994},{"id":"https://openalex.org/keywords/stochastic-geometry","display_name":"Stochastic geometry","score":0.5118600726127625},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.48689427971839905},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4732761085033417},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4071671962738037},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38028305768966675},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.32362431287765503},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2094220221042633},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12055644392967224}],"concepts":[{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5232376456260681},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5121328830718994},{"id":"https://openalex.org/C31243852","wikidata":"https://www.wikidata.org/wiki/Q1666739","display_name":"Stochastic geometry","level":2,"score":0.5118600726127625},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.48689427971839905},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4732761085033417},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4071671962738037},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38028305768966675},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.32362431287765503},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2094220221042633},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12055644392967224}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tsp.2015.2449256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2015.2449256","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1412.2999","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1412.2999","pdf_url":"https://arxiv.org/pdf/1412.2999","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:publications.lib.chalmers.se:218506","is_oa":false,"landing_page_url":"http://publications.lib.chalmers.se/publication/218506-nested-sparse-approximation-structured-estimation-of-v2v-channels-using-geometry-based-stochastic-ch","pdf_url":null,"source":{"id":"https://openalex.org/S4377196470","display_name":"Chalmers Publication Library (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text.Article.Journal.PeerReviewed"},{"id":"pmh:oai:research.chalmers.se:218506","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/218506","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1412.2999","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1412.2999","pdf_url":"https://arxiv.org/pdf/1412.2999","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1523888516","display_name":null,"funder_award_id":"FA9550-","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G1735500015","display_name":null,"funder_award_id":"CNS-1213128","funder_id":"https://openalex.org/F4320337388","funder_display_name":"Division of Computer and Network Systems"},{"id":"https://openalex.org/G323385086","display_name":null,"funder_award_id":"NSF CCF-1117896","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G412818383","display_name":"NeTS: Medium: A Sparse Decomposition Framework for Complex System Design and Analysis","funder_award_id":"1410009","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G439023285","display_name":null,"funder_award_id":"CNS-1213128","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G4718168968","display_name":"CIF: Small: Multiscale Methods for Mobile Underwater Networks","funder_award_id":"1117896","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5201753892","display_name":null,"funder_award_id":"CA-26-7084-00","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G5607567503","display_name":null,"funder_award_id":"CPS-1446901","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G567103355","display_name":null,"funder_award_id":"N00014-09-1-0700","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G5809100787","display_name":null,"funder_award_id":"FA9550","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G6071252945","display_name":null,"funder_award_id":"FA9550-12","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G6098521345","display_name":null,"funder_award_id":"FA9550","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G6223528103","display_name":null,"funder_award_id":"CA-26-7084-00","funder_id":"https://openalex.org/F4320308025","funder_display_name":"California Department of Transportation"},{"id":"https://openalex.org/G6544794087","display_name":null,"funder_award_id":"CCF-1117896","funder_id":"https://openalex.org/F4320337387","funder_display_name":"Division of Computing and Communication Foundations"},{"id":"https://openalex.org/G6785924490","display_name":null,"funder_award_id":"CNS-1213128","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7086710967","display_name":null,"funder_award_id":"CCF-1410009","funder_id":"https://openalex.org/F4320337387","funder_display_name":"Division of Computing and Communication Foundations"},{"id":"https://openalex.org/G7265094879","display_name":null,"funder_award_id":"NSF CPS-1446901","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G7478134912","display_name":null,"funder_award_id":"FA9550-12-1-0215","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G766388209","display_name":null,"funder_award_id":"CPS-1446901","funder_id":"https://openalex.org/F4320337388","funder_display_name":"Division of Computer and Network Systems"},{"id":"https://openalex.org/G7810257263","display_name":null,"funder_award_id":"NSF CCF-1410009","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G7999580237","display_name":null,"funder_award_id":"FA9550-12-1","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G8198622813","display_name":"NeTS: Large: Collaborative Research: Exploration and Exploitation in Actuated Communication Networks","funder_award_id":"1213128","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320308025","display_name":"California Department of Transportation","ror":"https://ror.org/04d46jp54"},{"id":"https://openalex.org/F4320310556","display_name":"Barbro Osher Pro Suecia Foundation","ror":"https://ror.org/00w0xq836"},{"id":"https://openalex.org/F4320321030","display_name":"VINNOVA","ror":"https://ror.org/01kd5m353"},{"id":"https://openalex.org/F4320321806","display_name":"Lunds Universitet","ror":"https://ror.org/012a77v79"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320337387","display_name":"Division of Computing and Communication Foundations","ror":"https://ror.org/01mng8331"},{"id":"https://openalex.org/F4320337388","display_name":"Division of Computer and Network Systems","ror":"https://ror.org/02rdzmk74"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W52588496","https://openalex.org/W1946620893","https://openalex.org/W1961293202","https://openalex.org/W1965125844","https://openalex.org/W1982452826","https://openalex.org/W1993988307","https://openalex.org/W2006510298","https://openalex.org/W2025891613","https://openalex.org/W2043494882","https://openalex.org/W2074682976","https://openalex.org/W2077562320","https://openalex.org/W2080953651","https://openalex.org/W2085405697","https://openalex.org/W2086642708","https://openalex.org/W2093545205","https://openalex.org/W2098110139","https://openalex.org/W2098996169","https://openalex.org/W2113328646","https://openalex.org/W2127181272","https://openalex.org/W2127535650","https://openalex.org/W2130642567","https://openalex.org/W2130917709","https://openalex.org/W2136978440","https://openalex.org/W2137628444","https://openalex.org/W2141006018","https://openalex.org/W2147276092","https://openalex.org/W2155827809","https://openalex.org/W2171075378","https://openalex.org/W3098306969","https://openalex.org/W4205213118","https://openalex.org/W4285719527","https://openalex.org/W6682896842"],"related_works":["https://openalex.org/W4389820878","https://openalex.org/W2023833916","https://openalex.org/W1607049962","https://openalex.org/W3182131123","https://openalex.org/W2406192116","https://openalex.org/W3132963729","https://openalex.org/W2624044939","https://openalex.org/W1985655499","https://openalex.org/W3027097125","https://openalex.org/W2794570086"],"abstract_inverted_index":{"Future":[0],"intelligent":[1],"transportation":[2],"systems":[3,13],"promise":[4],"increased":[5],"safety":[6],"and":[7,86,94,182,191],"energy":[8],"efficiency.":[9],"Realization":[10],"of":[11,53,83,128,132,138,154,175,203],"such":[12],"will":[14],"require":[15],"vehicle-to-vehicle":[16],"(V2V)":[17],"communication":[18,23,41],"technology.":[19],"High":[20],"fidelity":[21],"V2V":[22,30,33,54,65,193],"is,":[24],"in":[25,90,185],"turn,":[26],"dependent":[27],"on":[28],"accurate":[29],"channel":[31,55,66,107,121,194],"estimation.":[32],"channels":[34],"have":[35],"characteristics":[36],"differing":[37],"from":[38],"classical":[39],"cellular":[40],"channels.":[42,56],"Herein,":[43],"geometry-based":[44],"stochastic":[45],"modeling":[46],"is":[47,67,101,113,144,167],"employed":[48],"to":[49,103,115,146,199],"develop":[50,104],"a":[51,80,91,105,129],"characterization":[52],"The":[57,134,173],"resultant":[58],"model":[59],"exhibits":[60],"significant":[61,215],"structure;":[62],"specifically,":[63],"the":[64,74,117,141,148,155,164,170,201,204,210],"characterized":[68,181],"by":[69,169],"three":[70],"distinct":[71],"regions":[72],"within":[73],"delay-Doppler":[75],"plane.":[76],"Each":[77],"region":[78],"has":[79],"unique":[81],"combination":[82],"specular":[84],"reflections":[85],"diffuse":[87],"components":[88],"resulting":[89,184],"particular":[92],"element-wise":[93],"group-wise":[95],"sparsity.":[96],"This":[97],"joint":[98],"sparsity":[99],"structure":[100],"exploited":[102],"novel":[106],"estimation":[108,123],"algorithm.":[109,172],"A":[110],"general":[111],"machinery":[112],"provided":[114],"solve":[116],"jointly":[118],"element/group":[119],"sparse":[120],"(signal)":[122],"problem":[124],"using":[125,140],"proximity":[126,142],"operators":[127],"broad":[130],"class":[131],"regularizers.":[133],"alternating":[135],"direction":[136],"method":[137,212],"multipliers":[139],"operator":[143],"adapted":[145],"optimize":[147],"mixed":[149],"objective":[150,157],"function.":[151],"Key":[152],"properties":[153],"proposed":[156,205,219],"functions":[158],"are":[159,179,197],"proven":[160],"which":[161],"ensure":[162],"that":[163,209],"optimal":[165],"solution":[166],"found":[168],"new":[171,211],"effects":[174],"pulse":[176],"shape":[177],"leakage":[178],"explicitly":[180],"compensated,":[183],"measurably":[186],"improved":[187],"performance.":[188],"Numerical":[189],"simulation":[190],"real":[192],"measurement":[195],"data":[196],"used":[198],"evaluate":[200],"performance":[202],"method.":[206],"Results":[207],"show":[208],"can":[213],"achieve":[214],"gains":[216],"over":[217],"previously":[218],"methods.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}