{"id":"https://openalex.org/W4392164048","doi":"https://doi.org/10.3390/s24051498","title":"A Deep Long-Term Joint Temporal\u2013Spectral Network for Spectrum Prediction","display_name":"A Deep Long-Term Joint Temporal\u2013Spectral Network for Spectrum Prediction","publication_year":2024,"publication_date":"2024-02-26","ids":{"openalex":"https://openalex.org/W4392164048","doi":"https://doi.org/10.3390/s24051498","pmid":"https://pubmed.ncbi.nlm.nih.gov/38475035"},"language":"en","primary_location":{"id":"doi:10.3390/s24051498","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24051498","pdf_url":"https://www.mdpi.com/1424-8220/24/5/1498/pdf?version=1708928772","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/5/1498/pdf?version=1708928772","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024605374","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0001-5695-5509"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["School of Electronic and Communication Engineering, Sun Yat-sen University, Shenzhen 518107, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Communication Engineering, Sun Yat-sen University, Shenzhen 518107, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072496496","display_name":"Jun Hu","orcid":"https://orcid.org/0000-0001-6816-9417"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Hu","raw_affiliation_strings":["School of Electronic and Communication Engineering, Sun Yat-sen University, Shenzhen 518107, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Communication Engineering, Sun Yat-sen University, Shenzhen 518107, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070775605","display_name":"Rundong Jiang","orcid":"https://orcid.org/0000-0002-9217-0749"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rundong Jiang","raw_affiliation_strings":["School of Electronic and Communication Engineering, Sun Yat-sen University, Shenzhen 518107, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Communication Engineering, Sun Yat-sen University, Shenzhen 518107, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101406276","display_name":"Zengping Chen","orcid":"https://orcid.org/0000-0002-3722-0651"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengping Chen","raw_affiliation_strings":["School of Electronic and Communication Engineering, Sun Yat-sen University, Shenzhen 518107, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Communication Engineering, Sun Yat-sen University, Shenzhen 518107, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072496496"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":3.0869,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.91493227,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"24","issue":"5","first_page":"1498","last_page":"1498"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9901999831199646,"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/T11873","display_name":"PAPR reduction in OFDM","score":0.9882000088691711,"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/benchmark","display_name":"Benchmark (surveying)","score":0.7681088447570801},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7002284526824951},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.6705728769302368},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.5986279845237732},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5579405426979065},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.521324098110199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5044654607772827},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.488858163356781},{"id":"https://openalex.org/keywords/broad-spectrum","display_name":"Broad spectrum","score":0.44285085797309875},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43129387497901917},{"id":"https://openalex.org/keywords/radio-spectrum","display_name":"Radio spectrum","score":0.43088412284851074},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4269988536834717},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37162911891937256},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36379125714302063},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15483447909355164},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.1267264485359192}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7681088447570801},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7002284526824951},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.6705728769302368},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.5986279845237732},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5579405426979065},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.521324098110199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5044654607772827},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.488858163356781},{"id":"https://openalex.org/C3020442560","wikidata":"https://www.wikidata.org/wiki/Q4971815","display_name":"Broad spectrum","level":2,"score":0.44285085797309875},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43129387497901917},{"id":"https://openalex.org/C92545706","wikidata":"https://www.wikidata.org/wiki/Q902174","display_name":"Radio spectrum","level":2,"score":0.43088412284851074},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4269988536834717},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37162911891937256},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36379125714302063},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15483447909355164},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.1267264485359192},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C21951064","wikidata":"https://www.wikidata.org/wiki/Q899212","display_name":"Combinatorial chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24051498","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24051498","pdf_url":"https://www.mdpi.com/1424-8220/24/5/1498/pdf?version=1708928772","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:38475035","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38475035","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10934746","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10934746","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10934746/pdf/sensors-24-01498.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:9d865ee6e3464179a364647152081cc4","is_oa":true,"landing_page_url":"https://doaj.org/article/9d865ee6e3464179a364647152081cc4","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 5, p 1498 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24051498","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24051498","pdf_url":"https://www.mdpi.com/1424-8220/24/5/1498/pdf?version=1708928772","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1426229658","display_name":null,"funder_award_id":"KQTD20190929172704911","funder_id":"https://openalex.org/F4320329791","funder_display_name":"Shenzhen Fundamental Research Program"},{"id":"https://openalex.org/G1475418385","display_name":null,"funder_award_id":"JCYJ201803071","funder_id":"https://openalex.org/F4320329791","funder_display_name":"Shenzhen Fundamental Research Program"},{"id":"https://openalex.org/G5562486426","display_name":null,"funder_award_id":"2021YFA0716600","funder_id":"https://openalex.org/F4320329791","funder_display_name":"Shenzhen Fundamental Research Program"},{"id":"https://openalex.org/G6656315250","display_name":null,"funder_award_id":"JCYJ20180307151430655","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G796276233","display_name":null,"funder_award_id":"KQTD20190929172704911","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8554995088","display_name":null,"funder_award_id":"2021YFA0716600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8966771777","display_name":null,"funder_award_id":"JCYJ20180307151430655","funder_id":"https://openalex.org/F4320329791","funder_display_name":"Shenzhen Fundamental Research Program"}],"funders":[{"id":"https://openalex.org/F4320329791","display_name":"Shenzhen Fundamental Research Program","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392164048.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1878059963","https://openalex.org/W1990781704","https://openalex.org/W2131647894","https://openalex.org/W2135115617","https://openalex.org/W2145197862","https://openalex.org/W2150397642","https://openalex.org/W2317755741","https://openalex.org/W2755056899","https://openalex.org/W2789470429","https://openalex.org/W2792906725","https://openalex.org/W2803374569","https://openalex.org/W2885642955","https://openalex.org/W2889210442","https://openalex.org/W2890844012","https://openalex.org/W2909013530","https://openalex.org/W2988379071","https://openalex.org/W3006024017","https://openalex.org/W3010400998","https://openalex.org/W3015441328","https://openalex.org/W3039162068","https://openalex.org/W3039599825","https://openalex.org/W3043555165","https://openalex.org/W3096464124","https://openalex.org/W3111272036","https://openalex.org/W3123562383","https://openalex.org/W3129066430","https://openalex.org/W4200379301","https://openalex.org/W4292417352","https://openalex.org/W4292972304","https://openalex.org/W4293087509","https://openalex.org/W4297798767","https://openalex.org/W4313462096","https://openalex.org/W4313583406","https://openalex.org/W4317418978","https://openalex.org/W4319068839","https://openalex.org/W4366520911","https://openalex.org/W4378191663","https://openalex.org/W4385834069","https://openalex.org/W4386737214","https://openalex.org/W4391742296"],"related_works":["https://openalex.org/W2775301649","https://openalex.org/W2236567279","https://openalex.org/W2048427509","https://openalex.org/W4233632157","https://openalex.org/W2330895226","https://openalex.org/W2994439156","https://openalex.org/W2032719615","https://openalex.org/W2188389332","https://openalex.org/W4225341666","https://openalex.org/W3046087850"],"abstract_inverted_index":{"Spectrum":[0],"prediction":[1,57,70,96,176],"is":[2,63,98,123,133,192],"a":[3,34,54,60,93,165],"promising":[4],"technique":[5],"to":[6,84,135],"release":[7],"spectrum":[8,20,31,43,69,78,90,95,117,127,175],"resources":[9],"and":[10,19,37,48,67,76,88,107,119,182,188],"plays":[11],"an":[12],"essential":[13],"role":[14],"in":[15,33,45,151,184],"cognitive":[16],"radio":[17],"networks":[18],"situation":[21],"generating.":[22],"Traditional":[23],"algorithms":[24],"normally":[25],"focus":[26],"on":[27],"one-dimensional":[28],"or":[29],"predict":[30],"values":[32],"slot-by-slot":[35],"manner":[36],"thus":[38],"cannot":[39],"fully":[40],"perceive":[41],"the":[42,82,104,108,120,130,137,140,155,161,169,173,196],"states":[44],"complex":[46],"environments":[47],"lack":[49],"timeliness.":[50],"In":[51],"this":[52],"paper,":[53],"deep":[55,198],"learning-based":[56],"method":[58],"with":[59],"simple":[61],"structure":[62],"developed":[64,99],"for":[65,81,125],"temporal-spectral":[66],"multi-slot":[68],"simultaneously.":[71],"Specifically,":[72],"we":[73],"first":[74],"analyze":[75],"construct":[77],"data":[79],"suitable":[80],"model":[83,163,177],"simultaneously":[85],"achieve":[86],"long-term":[87,126],"multi-dimensional":[89],"prediction.":[91,128],"Then,":[92],"hierarchical":[94],"system":[97],"that":[100,143,160],"takes":[101],"advantage":[102,167],"of":[103,116,139],"advanced":[105],"Bi-ConvLSTM":[106,112],"seq2seq":[109,121,141],"framework.":[110],"The":[111],"captures":[113],"time-frequency":[114],"characteristics":[115],"data,":[118],"framework":[122,142],"used":[124,134],"Furthermore,":[129],"attention":[131],"mechanism":[132],"address":[136],"limitations":[138],"compresses":[144],"all":[145,195],"inputs":[146],"into":[147],"fixed-length":[148],"vectors,":[149],"resulting":[150],"information":[152],"loss.":[153],"Finally,":[154],"experimental":[156],"results":[157],"have":[158],"shown":[159],"proposed":[162,174],"has":[164],"significant":[166],"over":[168],"benchmark":[170],"schemes.":[171],"Especially,":[172],"achieves":[178],"6.15%,":[179],"0.7749,":[180],"1.0978,":[181],"0.9628":[183],"MAPE,":[185],"MAE,":[186],"RMSE,":[187],"R2,":[189],"respectively,":[190],"which":[191],"better":[193],"than":[194],"baseline":[197],"learning":[199],"models.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
