{"id":"https://openalex.org/W2883794401","doi":"https://doi.org/10.1109/vtcspring.2018.8417549","title":"Reducing CQI Feedback Overhead by Exploiting Spatial Correlation","display_name":"Reducing CQI Feedback Overhead by Exploiting Spatial Correlation","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2883794401","doi":"https://doi.org/10.1109/vtcspring.2018.8417549","mag":"2883794401"},"language":"en","primary_location":{"id":"doi:10.1109/vtcspring.2018.8417549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2018.8417549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 87th Vehicular Technology Conference (VTC Spring)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5075616024","display_name":"Samira Homayouni","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Samira Homayouni","raw_affiliation_strings":["Institute of Telecommunications, Technische Universit\u00e4t (TU) Wien, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Telecommunications, Technische Universit\u00e4t (TU) Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072684321","display_name":"\u0160tefan Schwarz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stefan Schwarz","raw_affiliation_strings":["Christian Doppler Laboratory for Dependable Wireless Connectivity for the Society in Motion"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Christian Doppler Laboratory for Dependable Wireless Connectivity for the Society in Motion","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089149630","display_name":"Martin Klaus Mueller","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martin Klaus Mueller","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5009083554","display_name":"Markus Rupp","orcid":"https://orcid.org/0000-0001-9003-7779"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Markus Rupp","raw_affiliation_strings":["Institute of Telecommunications, Technische Universit\u00e4t (TU) Wien, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Telecommunications, Technische Universit\u00e4t (TU) Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3371,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8827494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"i theory","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9998000264167786,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9998000264167786,"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/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9994000196456909,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9993000030517578,"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/computer-science","display_name":"Computer science","score":0.7211151123046875},{"id":"https://openalex.org/keywords/spatial-correlation","display_name":"Spatial correlation","score":0.710642397403717},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6644208431243896},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5876651406288147},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5752436518669128},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.5728175044059753},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5632665157318115},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4542763829231262},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4466978907585144},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42544275522232056},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3369806408882141},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3331700563430786},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.22505614161491394},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1813039481639862},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17062914371490479}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7211151123046875},{"id":"https://openalex.org/C150060386","wikidata":"https://www.wikidata.org/wiki/Q7574054","display_name":"Spatial correlation","level":2,"score":0.710642397403717},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6644208431243896},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5876651406288147},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5752436518669128},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.5728175044059753},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5632665157318115},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4542763829231262},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4466978907585144},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42544275522232056},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3369806408882141},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3331700563430786},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.22505614161491394},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1813039481639862},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17062914371490479},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcspring.2018.8417549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2018.8417549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 87th Vehicular Technology Conference (VTC Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311813","display_name":"\u00d6sterreichische Nationalstiftung f\u00fcr Forschung, Technologie und Entwicklung","ror":"https://ror.org/04hb33h70"},{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W635250944","https://openalex.org/W1486606806","https://openalex.org/W1964144113","https://openalex.org/W1965174759","https://openalex.org/W2012058589","https://openalex.org/W2032081031","https://openalex.org/W2054692642","https://openalex.org/W2110144231","https://openalex.org/W2110931343","https://openalex.org/W2117206394","https://openalex.org/W2132228636","https://openalex.org/W2137318028","https://openalex.org/W2140452629","https://openalex.org/W2146185352","https://openalex.org/W2155684141","https://openalex.org/W2156858898","https://openalex.org/W2160160578","https://openalex.org/W2942706550","https://openalex.org/W3128611524","https://openalex.org/W6620556582","https://openalex.org/W6641166723"],"related_works":["https://openalex.org/W566010457","https://openalex.org/W2600092203","https://openalex.org/W4293503520","https://openalex.org/W4300066510","https://openalex.org/W2056958800","https://openalex.org/W2803685231","https://openalex.org/W3134152097","https://openalex.org/W4311388919","https://openalex.org/W2966696655","https://openalex.org/W2021907765"],"abstract_inverted_index":{"Spatial":[0],"wireless":[1,8,57],"channel":[2,24],"prediction":[3],"is":[4,66],"crucial":[5],"for":[6,13],"future":[7],"networks,":[9],"and":[10],"in":[11,42],"particular,":[12],"predictive":[14],"resource":[15],"allocation.":[16],"In":[17],"this":[18],"paper,":[19],"we":[20,50],"first":[21],"predict":[22],"the":[23,35,46,52,56,63,69,80,90],"quality":[25],"indicator":[26],"(CQI)":[27],"at":[28],"an":[29],"arbitrary":[30],"test":[31],"user":[32],"based":[33],"on":[34],"Gaussian":[36],"process":[37],"regression":[38],"(GPR)":[39],"method.":[40],"Second,":[41],"order":[43],"to":[44],"limit":[45],"overall":[47],"signalling":[48],"overhead,":[49],"exploit":[51],"correlation":[53],"property":[54],"of":[55,62,82],"propagation":[58],"channel.":[59],"The":[60],"performance":[61],"proposed":[64,84],"method":[65],"evaluated":[67],"by":[68],"Cram'er-":[70],"Rao":[71],"bound":[72],"(CRB).":[73],"Simulation":[74],"results":[75],"not":[76],"only":[77],"well":[78],"demonstrate":[79],"potential":[81],"our":[83],"method,":[85],"but":[86],"also":[87],"match":[88],"with":[89],"theoretical":[91],"analysis.":[92]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}