{"id":"https://openalex.org/W4417338074","doi":"https://doi.org/10.1109/tcomm.2025.3644439","title":"Joint Estimation and Detection for Massive Access in Low-Altitude IoT Networks","display_name":"Joint Estimation and Detection for Massive Access in Low-Altitude IoT Networks","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W4417338074","doi":"https://doi.org/10.1109/tcomm.2025.3644439"},"language":null,"primary_location":{"id":"doi:10.1109/tcomm.2025.3644439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2025.3644439","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications","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/A5100418163","display_name":"Ting Liu","orcid":"https://orcid.org/0000-0003-1924-2600"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ting Liu","raw_affiliation_strings":["School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355601","display_name":"Xi Yang","orcid":"https://orcid.org/0000-0002-9252-2767"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Yang","raw_affiliation_strings":["Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101790918","display_name":"Xiaoming Wang","orcid":"https://orcid.org/0000-0003-3472-7526"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Wang","raw_affiliation_strings":["School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009827642","display_name":"Ji Wang","orcid":"https://orcid.org/0000-0002-4536-6044"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji Wang","raw_affiliation_strings":["Department of Electronics and Information Engineering, College of Physical Science and Technology, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, College of Physical Science and Technology, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076986736","display_name":"Xingwang Li","orcid":"https://orcid.org/0000-0002-0907-6517"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingwang Li","raw_affiliation_strings":["School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100418163"],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.47648199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"74","issue":null,"first_page":"2363","last_page":"2377"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9099000096321106,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11133","display_name":"UAV Applications and Optimization","score":0.9099000096321106,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.02759999968111515,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.00559999980032444,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/codebook","display_name":"Codebook","score":0.7190999984741211},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.557200014591217},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.5289000272750854},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.515999972820282},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.4984000027179718},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4957999885082245},{"id":"https://openalex.org/keywords/multiplexing","display_name":"Multiplexing","score":0.4675000011920929},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.4375999867916107},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.43220001459121704}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.7190999984741211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6478000283241272},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.557200014591217},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5353000164031982},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.5289000272750854},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.515999972820282},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.4984000027179718},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4957999885082245},{"id":"https://openalex.org/C19275194","wikidata":"https://www.wikidata.org/wiki/Q222903","display_name":"Multiplexing","level":2,"score":0.4675000011920929},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.4375999867916107},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.43220001459121704},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.42879998683929443},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4239000082015991},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.41929998993873596},{"id":"https://openalex.org/C57733114","wikidata":"https://www.wikidata.org/wiki/Q1006032","display_name":"Discrete Fourier transform (general)","level":5,"score":0.41690000891685486},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.39629998803138733},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.33239999413490295},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.31029999256134033},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.3052999973297119},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.29679998755455017},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2786000072956085},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.274399995803833},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C195251586","wikidata":"https://www.wikidata.org/wiki/Q1185939","display_name":"Demodulation","level":3,"score":0.2718999981880188},{"id":"https://openalex.org/C2777104032","wikidata":"https://www.wikidata.org/wiki/Q16324514","display_name":"Multiuser detection","level":3,"score":0.26089999079704285},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcomm.2025.3644439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2025.3644439","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6236306107","display_name":null,"funder_award_id":"62301221","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6360183275","display_name":null,"funder_award_id":"22DZ2229005","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G7375381840","display_name":null,"funder_award_id":"62101274","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/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W2046332036","https://openalex.org/W2130952788","https://openalex.org/W2706056020","https://openalex.org/W2784331297","https://openalex.org/W2811365745","https://openalex.org/W2890592307","https://openalex.org/W2903076565","https://openalex.org/W2937871473","https://openalex.org/W2964023906","https://openalex.org/W2995379809","https://openalex.org/W3001370401","https://openalex.org/W3006783129","https://openalex.org/W3021666880","https://openalex.org/W3022404363","https://openalex.org/W3031133730","https://openalex.org/W3048789917","https://openalex.org/W3081420426","https://openalex.org/W3089248281","https://openalex.org/W3113275482","https://openalex.org/W3131790995","https://openalex.org/W3139502571","https://openalex.org/W3162720533","https://openalex.org/W3180241859","https://openalex.org/W3187541551","https://openalex.org/W3193132159","https://openalex.org/W3199775031","https://openalex.org/W3216520238","https://openalex.org/W4205102904","https://openalex.org/W4205235385","https://openalex.org/W4206747369","https://openalex.org/W4296425705","https://openalex.org/W4312240994","https://openalex.org/W4313123768","https://openalex.org/W4313484953","https://openalex.org/W4367281519","https://openalex.org/W4367665843","https://openalex.org/W4384158362","https://openalex.org/W4385194622","https://openalex.org/W4385795174","https://openalex.org/W4388579760","https://openalex.org/W4389943521","https://openalex.org/W4392901972","https://openalex.org/W4404057002"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,12,41,47,50,73,85,88,139,157,168,174,192],"estimation":[4,94,178],"of":[5,14,43,159,199],"sparse":[6],"channel":[7,153],"state":[8],"information":[9,16,97],"(CSI)":[10],"and":[11,35,76,95,142,162,179,191,207],"detection":[13,98,180,205],"active":[15,96],"in":[17,40,197],"a":[18,56,104],"massive":[19,109],"machine-type":[20],"communication":[21],"(mMTC)":[22],"system":[23,102],"utilizing":[24,103],"an":[25,100],"unmanned":[26],"aerial":[27],"vehicle":[28],"(UAV)":[29],"base":[30],"station":[31],"(BS).":[32],"Both":[33],"rotary-wing":[34,51],"fixed-wing":[36,105],"UAVs":[37],"are":[38,136],"considered":[39],"context":[42],"large-scale":[44],"connectivity.":[45],"In":[46,84],"first":[48],"scenario,":[49,87],"UAV":[52,106],"is":[53,67,122],"equipped":[54],"with":[55,108],"small-scale":[57],"multiple-input":[58],"multiple-output":[59],"(MIMO)":[60],"system.":[61],"A":[62],"single":[63],"measurement":[64,113],"vector":[65,114],"approach":[66],"employed":[68],"to":[69,80,124,167,183],"estimate":[70],"CSI":[71,93],"across":[72],"time,":[74],"frequency,":[75],"spatial":[77],"domains,":[78],"referred":[79],"as":[81,187],"3D-domain":[82],"estimation.":[83],"second":[86],"study":[89],"focuses":[90],"on":[91],"angular-domain-based":[92],"for":[99,138],"mMTC":[101],"BS":[107],"MIMO.":[110],"The":[111],"multiple":[112],"Bayesian":[115],"posteriori":[116],"minimum":[117],"mean":[118,201],"square":[119,202],"error":[120,204,209],"method":[121],"implemented":[123],"enhance":[125],"performance.":[126],"To":[127],"support":[128],"these":[129],"estimations,":[130],"non-orthogonal":[131],"discrete":[132],"Fourier":[133],"transform":[134],"sequences":[135],"designed":[137],"codebook":[140],"matrix":[141],"transmitted":[143],"via":[144],"orthogonal":[145,193],"frequency-division":[146],"multiplexing":[147],"sub-carriers.":[148],"Additionally,":[149],"during":[150],"each":[151],"iteration,":[152],"parameter":[154],"learning":[155],"facilitates":[156],"transfer":[158],"extrinsic":[160,163],"expectation":[161],"variance,":[164],"ensuring":[165],"convergence":[166],"final":[169],"results.":[170],"Numerical":[171],"simulations":[172],"demonstrate":[173],"proposed":[175],"approach\u2019s":[176],"superior":[177],"performance":[181],"compared":[182],"existing":[184],"methods,":[185],"such":[186],"approximate":[188],"message-passing":[189],"algorithms":[190],"matching":[194],"pursuit":[195],"method,":[196],"terms":[198],"normalized":[200],"error,":[203],"probability,":[206],"bit":[208],"rate.":[210]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-12-15T00:00:00"}