{"id":"https://openalex.org/W2807038088","doi":"https://doi.org/10.1109/globalsip.2018.8646350","title":"WIDEBAND MASSIVE MIMO CHANNEL ESTIMATION VIA SEQUENTIAL ATOMIC NORM MINIMIZATION","display_name":"WIDEBAND MASSIVE MIMO CHANNEL ESTIMATION VIA SEQUENTIAL ATOMIC NORM MINIMIZATION","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2807038088","doi":"https://doi.org/10.1109/globalsip.2018.8646350","mag":"2807038088"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2018.8646350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2018.8646350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5051805755","display_name":"Stelios Stefanatos","orcid":"https://orcid.org/0000-0001-5629-865X"},"institutions":[{"id":"https://openalex.org/I75951250","display_name":"Freie Universit\u00e4t Berlin","ror":"https://ror.org/046ak2485","country_code":"DE","type":"education","lineage":["https://openalex.org/I75951250"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Stelios Stefanatos","raw_affiliation_strings":["Heisenberg Communications and Information Theory Group, Freie Universit\u00e4t Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Heisenberg Communications and Information Theory Group, Freie Universit\u00e4t Berlin, Germany","institution_ids":["https://openalex.org/I75951250"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033690165","display_name":"Mahdi Barzegar Khalilsarai","orcid":"https://orcid.org/0000-0003-0579-0200"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mahdi Barzegar Khalilsarai","raw_affiliation_strings":["Communications and Information Theory Group, Technische Universit\u00e4t Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Communications and Information Theory Group, Technische Universit\u00e4t Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044286247","display_name":"Gerhard Wunder","orcid":"https://orcid.org/0009-0001-0850-8816"},"institutions":[{"id":"https://openalex.org/I75951250","display_name":"Freie Universit\u00e4t Berlin","ror":"https://ror.org/046ak2485","country_code":"DE","type":"education","lineage":["https://openalex.org/I75951250"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gerhard Wunder","raw_affiliation_strings":["Heisenberg Communications and Information Theory Group, Freie Universit\u00e4t Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Heisenberg Communications and Information Theory Group, Freie Universit\u00e4t Berlin, Germany","institution_ids":["https://openalex.org/I75951250"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051805755"],"corresponding_institution_ids":["https://openalex.org/I75951250"],"apc_list":null,"apc_paid":null,"fwci":0.0919,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.46344752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"998","last_page":"1002"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9979000091552734,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9968000054359436,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9937999844551086,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.7590677738189697},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7025364637374878},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6781642436981201},{"id":"https://openalex.org/keywords/wideband","display_name":"Wideband","score":0.6678093671798706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6399674415588379},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6288045644760132},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.45679593086242676},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4463281035423279},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4442009925842285},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4381718635559082},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.42826446890830994},{"id":"https://openalex.org/keywords/path-loss","display_name":"Path loss","score":0.4161025285720825},{"id":"https://openalex.org/keywords/delay-spread","display_name":"Delay spread","score":0.4123591482639313},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.34752827882766724},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30037569999694824},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2628200650215149},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.24607732892036438},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.19831117987632751},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1642669141292572},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10417807102203369}],"concepts":[{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.7590677738189697},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7025364637374878},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6781642436981201},{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.6678093671798706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6399674415588379},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6288045644760132},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.45679593086242676},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4463281035423279},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4442009925842285},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4381718635559082},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.42826446890830994},{"id":"https://openalex.org/C194273485","wikidata":"https://www.wikidata.org/wiki/Q1478845","display_name":"Path loss","level":3,"score":0.4161025285720825},{"id":"https://openalex.org/C49456836","wikidata":"https://www.wikidata.org/wiki/Q666814","display_name":"Delay spread","level":4,"score":0.4123591482639313},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.34752827882766724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30037569999694824},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2628200650215149},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.24607732892036438},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.19831117987632751},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1642669141292572},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10417807102203369},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2018.8646350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2018.8646350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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":30,"referenced_works":["https://openalex.org/W143004564","https://openalex.org/W210359992","https://openalex.org/W1529522789","https://openalex.org/W1541064563","https://openalex.org/W1968079322","https://openalex.org/W2020255126","https://openalex.org/W2028191993","https://openalex.org/W2147601077","https://openalex.org/W2157195543","https://openalex.org/W2167077875","https://openalex.org/W2168625863","https://openalex.org/W2320098994","https://openalex.org/W2504841515","https://openalex.org/W2528695050","https://openalex.org/W2530093495","https://openalex.org/W2565293665","https://openalex.org/W2633610211","https://openalex.org/W2646252440","https://openalex.org/W2739833327","https://openalex.org/W2766783619","https://openalex.org/W2807038088","https://openalex.org/W2952729730","https://openalex.org/W2962727817","https://openalex.org/W2962739446","https://openalex.org/W2963837984","https://openalex.org/W2964021982","https://openalex.org/W2964106337","https://openalex.org/W2964325628","https://openalex.org/W3124617746","https://openalex.org/W6728275842"],"related_works":["https://openalex.org/W1525347708","https://openalex.org/W2292972763","https://openalex.org/W3144372491","https://openalex.org/W2158690210","https://openalex.org/W3089761018","https://openalex.org/W2135520952","https://openalex.org/W2115853370","https://openalex.org/W3094827220","https://openalex.org/W2393378091","https://openalex.org/W3198209499"],"abstract_inverted_index":{"The":[0],"recently":[1],"introduced":[2],"atomic":[3],"norm":[4],"minimization":[5],"(ANM)":[6],"framework":[7,52],"for":[8,53,75],"parameter":[9],"estimation":[10,18,28,57],"is":[11,58,79,109,119,129],"a":[12,70],"promising":[13],"candidate":[14],"towards":[15],"low-overhead":[16],"channel":[17,27,36,56,73,91,141,152],"in":[19,43,112,143],"wireless":[20],"communications.":[21],"However,":[22],"previous":[23],"works":[24],"on":[25,31,157],"ANM-based":[26,72],"evaluated":[29],"performance":[30,108,127],"channels":[32],"with":[33],"artificially":[34],"imposed":[35],"path":[37],"separability,":[38],"which":[39],"cannot":[40],"be":[41,136],"guaranteed":[42],"practice.":[44],"In":[45,67],"addition,":[46],"direct":[47],"application":[48],"of":[49,82,114,146,151],"the":[50,63,86,90,93,97,101,122,132,144],"ANM":[51],"massive":[54,77],"MIMO":[55,78],"computationally":[59],"infeasible":[60],"due":[61],"to":[62,131,148],"large":[64],"signal":[65],"dimensions.":[66],"this":[68],"paper,":[69],"low-complexity":[71],"estimator":[74,142],"wideband":[76],"proposed,":[80],"consisting":[81],"two":[83],"sequential":[84],"steps,":[85],"first":[87],"step":[88,99],"estimating":[89],"over":[92,100],"angle-of-arrival/spatial":[94],"domain":[95],"and":[96],"second":[98],"delay/frequency":[102],"domain.":[103],"Its":[104],"mean":[105],"squared":[106],"error":[107],"analytically":[110],"characterized":[111],"terms":[113],"tight":[115],"lower":[116],"bounds.":[117],"It":[118],"shown":[120],"that":[121,128,134],"proposed":[123],"algorithm":[124],"achieves":[125],"excellent":[126],"close":[130],"best":[133],"can":[135],"achieved":[137],"by":[138],"any":[139,155],"unbiased":[140],"regime":[145],"low":[147],"moderate":[149],"number":[150],"paths,":[153],"without":[154],"restrictions":[156],"their":[158],"separability.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
