{"id":"https://openalex.org/W4401508107","doi":"https://doi.org/10.1109/infocom52122.2024.10621187","title":"Cross-shaped Separated Spatial-Temporal UNet Transformer For Accurate Channel Prediction","display_name":"Cross-shaped Separated Spatial-Temporal UNet Transformer For Accurate Channel Prediction","publication_year":2024,"publication_date":"2024-05-20","ids":{"openalex":"https://openalex.org/W4401508107","doi":"https://doi.org/10.1109/infocom52122.2024.10621187"},"language":"en","primary_location":{"id":"doi:10.1109/infocom52122.2024.10621187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom52122.2024.10621187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2024 - IEEE Conference on Computer Communications","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/A5100742605","display_name":"Hua Kang","orcid":"https://orcid.org/0000-0002-3125-0024"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Hua Kang","raw_affiliation_strings":["The Hong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006409613","display_name":"Qingyong Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qingyong Hu","raw_affiliation_strings":["The Hong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086433913","display_name":"H.D. Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huangxun Chen","raw_affiliation_strings":["Huawei"],"affiliations":[{"raw_affiliation_string":"Huawei","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025353659","display_name":"Qianyi Huang","orcid":"https://orcid.org/0000-0001-9525-7754"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qianyi Huang","raw_affiliation_strings":["Huawei"],"affiliations":[{"raw_affiliation_string":"Huawei","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114378267","display_name":"Qian Zhang","orcid":"https://orcid.org/0000-0001-9205-1881"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qian Zhang","raw_affiliation_strings":["The Hong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106613370","display_name":"Min Cheng","orcid":"https://orcid.org/0000-0003-2974-7418"},"institutions":[{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Min Cheng","raw_affiliation_strings":["Huawei,Noah’s Ark Lab"],"affiliations":[{"raw_affiliation_string":"Huawei,Noah’s Ark Lab","institution_ids":["https://openalex.org/I4210159102"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100742605"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":1.7591,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85264945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2079","last_page":"2088"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.8795999884605408,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.8795999884605408,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.6049827337265015},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.46661749482154846},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.15693262219429016},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12886255979537964},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.11840757727622986}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6049827337265015},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.46661749482154846},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.15693262219429016},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12886255979537964},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.11840757727622986}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/infocom52122.2024.10621187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom52122.2024.10621187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2024 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-142922","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-142922","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1901129140","https://openalex.org/W1968869252","https://openalex.org/W2094655360","https://openalex.org/W2124067137","https://openalex.org/W2157293015","https://openalex.org/W2166627902","https://openalex.org/W2194775991","https://openalex.org/W2340550737","https://openalex.org/W2488265751","https://openalex.org/W2979924295","https://openalex.org/W3000769608","https://openalex.org/W3040454237","https://openalex.org/W3045610411","https://openalex.org/W3089389858","https://openalex.org/W3096609285","https://openalex.org/W3138516171","https://openalex.org/W3141797743","https://openalex.org/W3162996485","https://openalex.org/W3201853323","https://openalex.org/W3210411944","https://openalex.org/W3215313786","https://openalex.org/W4206133298","https://openalex.org/W4210516329","https://openalex.org/W4226334005","https://openalex.org/W4285817698","https://openalex.org/W4289639938","https://openalex.org/W4301934607","https://openalex.org/W4312560592","https://openalex.org/W4313007769","https://openalex.org/W4313009682","https://openalex.org/W4382203079","https://openalex.org/W4385245566","https://openalex.org/W4386242147","https://openalex.org/W4386826409","https://openalex.org/W6628877408","https://openalex.org/W6759127422","https://openalex.org/W6801579353","https://openalex.org/W6804258825"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Accurate":[0],"channel":[1,22,33,82,137,165],"estimation":[2],"is":[3,17],"crucial":[4],"for":[5,80],"the":[6,27,39,49,87,99,109,121,134,144,150],"performance":[7,146],"gains":[8],"of":[9,136,147],"massive":[10],"multiple-input":[11],"multiple-output":[12],"(mMIMO)":[13],"technologies.":[14],"However,":[15],"it":[16],"bandwidth-unfriendly":[18],"to":[19,25,37,47,97,112],"estimate":[20],"large":[21],"matrix":[23],"frequently":[24],"combat":[26],"time-varying":[28],"wireless":[29],"channel.":[30],"Deep":[31],"learning-based":[32],"prediction":[34,145],"has":[35],"emerged":[36],"exploit":[38],"temporal":[40,94,104],"relationships":[41],"between":[42],"historical":[43],"and":[44,69,103,107,125],"future":[45],"channels":[46],"address":[48],"bandwidth-accuracy":[50],"trade-off.":[51],"Existing":[52],"methods":[53],"with":[54,91,158],"convolutional":[55],"or":[56],"recurrent":[57],"neural":[58],"networks":[59],"suffer":[60],"from":[61],"their":[62],"intrinsic":[63],"limitations,":[64],"including":[65],"restricted":[66],"receptive":[67],"fields":[68],"propagation":[70],"errors.":[71],"Therefore,":[72],"we":[73,85],"propose":[74],"a":[75,92,159],"Transformer-based":[76],"model,":[77],"CS3T-UNet":[78,117,148],"tailored":[79],"mMIMO":[81],"prediction.":[83],"Specifically,":[84],"combine":[86],"cross-shaped":[88],"spatial":[89,102],"attention":[90,95],"group-wise":[93],"scheme":[96],"capture":[98,120],"dependencies":[100],"across":[101],"domains,":[105],"respectively,":[106],"introduce":[108],"shortcut":[110],"paths":[111],"well-aggregate":[113],"multi-resolution":[114],"representations.":[115],"Thus,":[116],"can":[118,132],"globally":[119],"complex":[122],"spatial-temporal":[123],"relationship":[124],"predict":[126],"multiple":[127],"steps":[128],"in":[129],"parallel,":[130],"which":[131],"meet":[133],"requirement":[135],"coherence":[138],"time.":[139],"Extensive":[140],"experiments":[141],"demonstrate":[142],"that":[143],"surpasses":[149],"best":[151],"baseline":[152],"by":[153],"at":[154],"most":[155],"6.86":[156],"dB":[157],"smaller":[160],"computation":[161],"cost":[162],"on":[163],"two":[164],"conditions.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}