{"id":"https://openalex.org/W4205227624","doi":"https://doi.org/10.1109/iccc54389.2021.9674444","title":"Cross-Band Spectrum Prediction Algorithm Based on Transfer Learning and Meta Learning","display_name":"Cross-Band Spectrum Prediction Algorithm Based on Transfer Learning and Meta Learning","publication_year":2021,"publication_date":"2021-12-10","ids":{"openalex":"https://openalex.org/W4205227624","doi":"https://doi.org/10.1109/iccc54389.2021.9674444"},"language":"en","primary_location":{"id":"doi:10.1109/iccc54389.2021.9674444","doi":"https://doi.org/10.1109/iccc54389.2021.9674444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccc54389.2021.9674444","pdf_url":null,"source":{"id":"https://openalex.org/S7407087561","display_name":"IEEE International Conference on Computer and Communications (ICCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th International Conference on Computer and Communications (ICCC)","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W4205227624"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"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/A5106724194","display_name":"Chuang Peng","orcid":"https://orcid.org/0009-0000-7534-3989","observed_orcids":["https://orcid.org/0009-0000-7534-3989"]},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuang Peng","raw_affiliation_strings":["College of Electronic Engineering National University of Defense Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031616108","display_name":"Mengbo Zhang","orcid":"https://orcid.org/0009-0008-2459-7952","observed_orcids":["https://orcid.org/0009-0008-2459-7952","https://orcid.org/0000-0003-1434-806X"]},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengbo Zhang","raw_affiliation_strings":["College of Electronic Engineering National University of Defense Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080844995","display_name":"Weilin Hu","orcid":"https://orcid.org/0000-0003-0831-5827","observed_orcids":["https://orcid.org/0000-0003-0831-5827"]},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weilin Hu","raw_affiliation_strings":["College of Electronic Engineering National University of Defense Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103268655","display_name":"Lunwen Wang","orcid":"https://orcid.org/0000-0003-4726-3484","observed_orcids":["https://orcid.org/0000-0003-4726-3484"]},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lunwen Wang","raw_affiliation_strings":["College of Electronic Engineering National University of Defense Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.5765,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.52257383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2303","last_page":"2307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":1.0,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/spectrum-prediction","display_name":"spectral prediction","score":0.9589999914169312},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"cognitive radio","score":0.9480000138282776},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.7870000004768372},{"id":"https://openalex.org/keywords/meta-learning","display_name":"meta-learning","score":0.9589999914169312},{"id":"https://openalex.org/keywords/spectrum-sensing","display_name":"spectrum sensing","score":0.8050000071525574}],"concepts":[{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.7369835376739502},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7170921564102173},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6949807405471802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6423380374908447},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5651103258132935},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.5173520445823669},{"id":"https://openalex.org/C92545706","wikidata":"https://www.wikidata.org/wiki/Q902174","display_name":"Radio spectrum","level":2,"score":0.48981067538261414},{"id":"https://openalex.org/C2778116611","wikidata":"https://www.wikidata.org/wiki/Q25110567","display_name":"Frequency band","level":3,"score":0.4690343141555786},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45705482363700867},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.44436320662498474},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.42321962118148804},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.417196124792099},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4145914316177368},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4116230905056},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.32324159145355225},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10378500819206238},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.09603211283683777},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09057837724685669},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccc54389.2021.9674444","doi":"https://doi.org/10.1109/iccc54389.2021.9674444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccc54389.2021.9674444","pdf_url":null,"source":{"id":"https://openalex.org/S7407087561","display_name":"IEEE International Conference on Computer and Communications (ICCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th International Conference on Computer and Communications (ICCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1642589388","https://openalex.org/W2159767430","https://openalex.org/W2277984606","https://openalex.org/W2552259797","https://openalex.org/W2585297068","https://openalex.org/W2604763608","https://openalex.org/W2755056899","https://openalex.org/W2795250443","https://openalex.org/W2885642955","https://openalex.org/W2892115260","https://openalex.org/W2908923193","https://openalex.org/W2909013530","https://openalex.org/W2997011413","https://openalex.org/W3011913638","https://openalex.org/W3048476294","https://openalex.org/W3125822518","https://openalex.org/W3128776128"],"related_works":["https://openalex.org/W3011913638","https://openalex.org/W4281553731","https://openalex.org/W3128776128","https://openalex.org/W4376456746","https://openalex.org/W7076049760","https://openalex.org/W4414358755","https://openalex.org/W4205302503","https://openalex.org/W4408017223","https://openalex.org/W3163312460","https://openalex.org/W4386737214"],"abstract_inverted_index":{"Spectrum":[0],"prediction":[1,30,53,68,114,181],"is":[2,86,127,132],"an":[3,20],"important":[4,21],"research":[5],"task":[6],"in":[7,23,78,92],"cognitive":[8],"radio.":[9],"It":[10],"can":[11,153,174],"predict":[12,155],"the":[13,46,52,82,90,98,109,113,130,138,145,156,171,179,183],"state":[14],"change":[15],"of":[16,40,48,141,164,182,189],"spectrum":[17,25,29,67],"and":[18,43,73,100,106,129,150,176,193],"play":[19],"role":[22],"improving":[24],"sensing":[26],"performance.":[27],"Existing":[28],"algorithms":[31],"based":[32,70,147],"on":[33,71,148],"deep":[34],"learning":[35,75,152],"use":[36],"a":[37,123,161,186],"large":[38],"amount":[39,163,188],"training":[41],"data,":[42,51,192],"due":[44],"to":[45,63,88,96,107,136],"difference":[47],"frequency":[49,94,104,120,158],"band":[50,159,191],"model":[54,85,115,131,142,184],"cannot":[55,116],"be":[56,117],"directly":[57],"used":[58,87,118],"across":[59,119],"bands.":[60,121],"In":[61],"order":[62],"solve":[64],"this":[65,79],"problem,":[66],"methods":[69],"meta-learning":[72,124,135,149],"transfer":[74,151,200],"are":[76],"studied":[77],"paper.":[80],"Firstly,":[81],"VGG16":[83],"pre-training":[84],"analyze":[89],"data":[91,125],"different":[93,103],"bands,":[95,105],"clarify":[97],"differences":[99],"similarities":[101],"between":[102],"give":[108],"theoretical":[110],"analysis":[111],"that":[112,170],"Secondly,":[122],"set":[126],"constructed":[128],"trained":[133],"by":[134],"find":[137],"optimal":[139],"distribution":[140],"parameters.":[143],"Finally,":[144],"method":[146,173],"effectively":[154],"target":[157,190],"with":[160],"small":[162,187],"spectral":[165],"data.":[166],"Experimental":[167],"results":[168],"show":[169],"proposed":[172],"efficiently":[175],"rapidly":[177],"realize":[178],"cross-band":[180],"using":[185,199],"has":[194],"better":[195],"stability":[196],"than":[197],"only":[198],"learning.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2022-01-25T00:00:00"}
