{"id":"https://openalex.org/W2937969790","doi":"https://doi.org/10.1109/vtcfall.2018.8690550","title":"Multi-Antenna Fading Channel Prediction Empowered by Artificial Intelligence","display_name":"Multi-Antenna Fading Channel Prediction Empowered by Artificial Intelligence","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2937969790","doi":"https://doi.org/10.1109/vtcfall.2018.8690550","mag":"2937969790"},"language":"en","primary_location":{"id":"doi:10.1109/vtcfall.2018.8690550","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2018.8690550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)","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/A5059828821","display_name":"Wei Jiang","orcid":"https://orcid.org/0000-0002-3719-3710"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Wei Jiang","raw_affiliation_strings":["Institute for Wireless Communication and Navigation, University of Kaiserslautern, Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Wireless Communication and Navigation, University of Kaiserslautern, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I153267046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008473850","display_name":"Hans D. Schotten","orcid":"https://orcid.org/0000-0001-5005-3635"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hans Dieter Schotten","raw_affiliation_strings":["Institute for Wireless Communication and Navigation, University of Kaiserslautern, Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Wireless Communication and Navigation, University of Kaiserslautern, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I153267046"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059828821"],"corresponding_institution_ids":["https://openalex.org/I153267046"],"apc_list":null,"apc_paid":null,"fwci":3.4059,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.93151728,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","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"}},"topics":[{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","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/T11321","display_name":"Error Correcting Code Techniques","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"}},{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9991000294685364,"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/fading","display_name":"Fading","score":0.9196761846542358},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.7713308334350586},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7353217601776123},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6523203253746033},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6374002695083618},{"id":"https://openalex.org/keywords/antenna","display_name":"Antenna (radio)","score":0.630077600479126},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.49115702509880066},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4501700699329376},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4459977149963379},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4151774048805237},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41280221939086914},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.32561981678009033},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16243374347686768}],"concepts":[{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.9196761846542358},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.7713308334350586},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7353217601776123},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6523203253746033},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6374002695083618},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.630077600479126},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.49115702509880066},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4501700699329376},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4459977149963379},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4151774048805237},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41280221939086914},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.32561981678009033},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16243374347686768}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcfall.2018.8690550","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2018.8690550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1530662203","https://openalex.org/W1667658377","https://openalex.org/W1968869252","https://openalex.org/W1987410813","https://openalex.org/W1999414410","https://openalex.org/W2026402488","https://openalex.org/W2038372456","https://openalex.org/W2070659680","https://openalex.org/W2104564945","https://openalex.org/W2116141601","https://openalex.org/W2119137112","https://openalex.org/W2139122335","https://openalex.org/W2163968165","https://openalex.org/W2257979135","https://openalex.org/W2324688844","https://openalex.org/W2734460061","https://openalex.org/W2765410518","https://openalex.org/W2787735819","https://openalex.org/W2963222093","https://openalex.org/W3112681748","https://openalex.org/W6637112477"],"related_works":["https://openalex.org/W1931943713","https://openalex.org/W301676527","https://openalex.org/W2103028776","https://openalex.org/W1757854673","https://openalex.org/W3140554627","https://openalex.org/W2507345605","https://openalex.org/W4289865786","https://openalex.org/W2110670012","https://openalex.org/W2051005918","https://openalex.org/W2172055400"],"abstract_inverted_index":{"Outdated":[0],"channel":[1,23],"state":[2],"information":[3],"(CSI)":[4],"has":[5],"a":[6,10,21,44,74,79],"severe":[7],"impact":[8],"on":[9,78],"wide":[11],"variety":[12],"of":[13,18,40,52,60,66,69],"wireless":[14],"techniques.":[15],"Making":[16],"use":[17],"artificial":[19],"intelligence,":[20],"multi-antenna":[22,75],"predictor":[24,85],"is":[25,86],"proposed":[26],"in":[27,43,54,64],"this":[28,84],"paper.":[29],"It":[30],"can":[31],"accurately":[32],"forecast":[33],"the":[34,50,55,67],"future":[35],"CSIs":[36],"up":[37],"to":[38],"tens":[39],"symbols":[41],"ahead":[42],"fast":[45],"fading":[46],"channel.":[47],"By":[48],"tuning":[49],"number":[51,68],"neurons":[53],"input":[56],"and":[57],"output":[58],"layers":[59],"neural":[61],"network":[62],"(NN)":[63],"terms":[65],"antennas,":[70],"it":[71],"congenitally":[72],"suits":[73],"system.":[76],"Relying":[77],"NN":[80,93],"with":[81],"real-valued":[82],"weights,":[83],"simpler":[87],"but":[88],"substantially":[89],"outperforms":[90],"existing":[91],"complex-valued":[92],"predictors.":[94]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
