{"id":"https://openalex.org/W4411948822","doi":"https://doi.org/10.1109/tccn.2025.3584880","title":"Learning to Predict: Collaborative Cloud\u2013Edge Multi-Time-Scale Attention Model for Industrial Wireless Channel Prediction","display_name":"Learning to Predict: Collaborative Cloud\u2013Edge Multi-Time-Scale Attention Model for Industrial Wireless Channel Prediction","publication_year":2025,"publication_date":"2025-07-02","ids":{"openalex":"https://openalex.org/W4411948822","doi":"https://doi.org/10.1109/tccn.2025.3584880"},"language":"en","primary_location":{"id":"doi:10.1109/tccn.2025.3584880","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2025.3584880","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cognitive Communications and Networking","raw_type":"journal-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/A5084329308","display_name":"Huaguang Shi","orcid":"https://orcid.org/0000-0002-5984-4588"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huaguang Shi","raw_affiliation_strings":["School of Artificial Intelligence, Henan University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Henan University, Zhengzhou, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110928507","display_name":"Xiaoquan Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoquan Ren","raw_affiliation_strings":["School of Artificial Intelligence, Henan University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Henan University, Zhengzhou, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110577344","display_name":"Kosuke Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaibo Jin","raw_affiliation_strings":["School of Artificial Intelligence, Henan University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Henan University, Zhengzhou, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053635111","display_name":"Jian Huang","orcid":"https://orcid.org/0009-0009-6448-4546"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Huang","raw_affiliation_strings":["School of Artificial Intelligence, Henan University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Henan University, Zhengzhou, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318387","display_name":"Wei Li","orcid":"https://orcid.org/0000-0003-1837-4759"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Artificial Intelligence, Henan University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Henan University, Zhengzhou, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065562660","display_name":"Yi Zhou","orcid":"https://orcid.org/0000-0001-7657-6100"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhou","raw_affiliation_strings":["School of Artificial Intelligence, Henan University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Henan University, Zhengzhou, China","institution_ids":["https://openalex.org/I173899330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5084329308"],"corresponding_institution_ids":["https://openalex.org/I173899330"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21496452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"2558","last_page":"2572"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13905","display_name":"Telecommunications and Broadcasting Technologies","score":0.9539999961853027,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13905","display_name":"Telecommunications and Broadcasting Technologies","score":0.9539999961853027,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9498999714851379,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9483000040054321,"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/computer-science","display_name":"Computer science","score":0.7933725118637085},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6666601896286011},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5382214784622192},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5269953608512878},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4986605644226074},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.47725722193717957},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3369676470756531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3056999742984772},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2454763948917389}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7933725118637085},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6666601896286011},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5382214784622192},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5269953608512878},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4986605644226074},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.47725722193717957},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3369676470756531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3056999742984772},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2454763948917389},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/tccn.2025.3584880","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2025.3584880","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cognitive Communications and Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G4382693246","display_name":null,"funder_award_id":"62176088","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4958668636","display_name":null,"funder_award_id":"2023M741008","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7630890129","display_name":null,"funder_award_id":"62303159","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W2810482148","https://openalex.org/W2974683824","https://openalex.org/W2978648800","https://openalex.org/W3011932893","https://openalex.org/W3042228846","https://openalex.org/W3092363263","https://openalex.org/W3110751444","https://openalex.org/W3127970036","https://openalex.org/W3156089913","https://openalex.org/W3196529033","https://openalex.org/W3203801385","https://openalex.org/W3204491243","https://openalex.org/W4206533878","https://openalex.org/W4224075564","https://openalex.org/W4226049036","https://openalex.org/W4285138331","https://openalex.org/W4285201197","https://openalex.org/W4285817698","https://openalex.org/W4285820068","https://openalex.org/W4312354825","https://openalex.org/W4315630163","https://openalex.org/W4321021724","https://openalex.org/W4321195586","https://openalex.org/W4360596735","https://openalex.org/W4362683599","https://openalex.org/W4380053228","https://openalex.org/W4385212236","https://openalex.org/W4385731880","https://openalex.org/W4386231167","https://openalex.org/W4387303325","https://openalex.org/W4388240184","https://openalex.org/W4390905619","https://openalex.org/W4392901632","https://openalex.org/W4392908077","https://openalex.org/W4393372393","https://openalex.org/W4394581880","https://openalex.org/W4394828118","https://openalex.org/W4397000079","https://openalex.org/W4399073567","https://openalex.org/W4399375519","https://openalex.org/W4399800500","https://openalex.org/W4401325822","https://openalex.org/W4404586293","https://openalex.org/W4407900133"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W3150465815","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W2802581102","https://openalex.org/W4205786897"],"abstract_inverted_index":{"In":[0],"the":[1,14,20,23,80,127,149,162],"context":[2],"of":[3,19,99,129,171],"Industry":[4],"4.0,":[5],"industrial":[6],"wireless":[7],"communication":[8],"faces":[9],"significant":[10],"challenges":[11],"due":[12],"to":[13,121],"complex":[15],"and":[16,22,40,52,70,101,114,154,177],"dynamic":[17,116],"nature":[18],"channel":[21,30,68,172],"stringent":[24],"requirements":[25],"for":[26,67],"real-time":[27,175],"performance.":[28],"Existing":[29],"prediction":[31,38,41,69,82,93,106,152,155,173],"methods":[32],"exhibit":[33],"inherent":[34],"limitations":[35],"in":[36,44,119,169],"maintaining":[37],"accuracy":[39,153],"task":[42,156],"latency":[43],"heterogeneous":[45,97],"environments":[46],"characterized":[47],"by":[48],"both":[49],"Line-of-Sight":[50],"(LoS)":[51],"Non-Line-of-Sight":[53],"(NLoS)":[54],"scenarios.":[55],"To":[56,124],"address":[57],"these":[58],"concerns,":[59],"we":[60,132],"propose":[61,133],"a":[62,74,85,109,115,134],"Multi-Time-Scale":[63],"Attention":[64],"(MTSA)":[65],"model":[66,83,107,178],"implement":[71],"it":[72],"within":[73],"novel":[75],"collaborative":[76],"cloud-edge":[77,130],"architecture.":[78],"Specifically,":[79],"cloud":[81],"leverages":[84],"multi-task":[86],"learning":[87],"framework":[88],"which":[89,146],"simultaneously":[90],"optimizes":[91,148],"multiple":[92],"objectives,":[94],"enabling":[95],"high-precision":[96],"modeling":[98],"LoS":[100],"NLoS":[102],"channels.":[103],"The":[104],"edge":[105],"incorporates":[108],"cross-layer":[110],"parameter":[111],"sharing":[112],"mechanism":[113],"updating":[117],"strategy":[118],"response":[120],"environmental":[122],"changes.":[123],"fully":[125],"exploit":[126],"benefits":[128],"collaboration,":[131],"Multi-Objective":[135],"Dynamic":[136],"Task":[137],"Scheduling":[138],"(MODTS)":[139],"algorithm":[140],"based":[141],"on":[142],"double":[143],"deep":[144],"Q-network,":[145],"effectively":[147],"trade-off":[150],"between":[151],"latency.":[157],"Experimental":[158],"results":[159],"demonstrate":[160],"that":[161],"proposed":[163],"architecture":[164],"significantly":[165],"outperforms":[166],"existing":[167],"works":[168],"terms":[170],"accuracy,":[174],"performance,":[176],"robustness.":[179]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}