{"id":"https://openalex.org/W4399418570","doi":"https://doi.org/10.1145/3651671.3651706","title":"Multi-task Learning Model for Location Estimation Using RSSI of Wireless LAN in NLoS Environment","display_name":"Multi-task Learning Model for Location Estimation Using RSSI of Wireless LAN in NLoS Environment","publication_year":2024,"publication_date":"2024-02-02","ids":{"openalex":"https://openalex.org/W4399418570","doi":"https://doi.org/10.1145/3651671.3651706"},"language":"en","primary_location":{"id":"doi:10.1145/3651671.3651706","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3651671.3651706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 16th International Conference on Machine Learning and Computing","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/A5103035559","display_name":"Zehui Wei","orcid":"https://orcid.org/0009-0006-2705-1467"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zehui Wei","raw_affiliation_strings":["AsiaInfo Technologies (China) Inc., Beijing, China, China"],"raw_orcid":"https://orcid.org/0009-0006-2705-1467","affiliations":[{"raw_affiliation_string":"AsiaInfo Technologies (China) Inc., Beijing, China, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014222538","display_name":"Jianbing Ding","orcid":"https://orcid.org/0009-0009-6159-298X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianbing Ding","raw_affiliation_strings":["AsiaInfo Technologies (China) Inc., Beijing, China, China"],"raw_orcid":"https://orcid.org/0009-0009-6159-298X","affiliations":[{"raw_affiliation_string":"AsiaInfo Technologies (China) Inc., Beijing, China, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071430184","display_name":"Zening Wang","orcid":"https://orcid.org/0009-0003-3246-3931"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zening Wang","raw_affiliation_strings":["AsiaInfo Technologies (China) Inc., Beijing, China, China"],"raw_orcid":"https://orcid.org/0009-0003-3246-3931","affiliations":[{"raw_affiliation_string":"AsiaInfo Technologies (China) Inc., Beijing, China, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034823203","display_name":"Xidong Wang","orcid":"https://orcid.org/0009-0005-4707-1652"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xidong Wang","raw_affiliation_strings":["AsiaInfo Technologies (China) Inc., Beijing, China, China"],"raw_orcid":"https://orcid.org/0009-0005-4707-1652","affiliations":[{"raw_affiliation_string":"AsiaInfo Technologies (China) Inc., Beijing, China, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107230366","display_name":"Xiaozhou Ye","orcid":"https://orcid.org/0000-0002-4925-5907"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaozhou Ye","raw_affiliation_strings":["AsiaInfo Technologies (China) Inc., Beijing, China, China"],"raw_orcid":"https://orcid.org/0000-0002-4925-5907","affiliations":[{"raw_affiliation_string":"AsiaInfo Technologies (China) Inc., Beijing, China, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016317255","display_name":"Ye Ouyang","orcid":"https://orcid.org/0000-0002-6195-6415"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye Ouyang","raw_affiliation_strings":["AsiaInfo Technologies (China) Inc., Beijing, China, China"],"raw_orcid":"https://orcid.org/0000-0002-6195-6415","affiliations":[{"raw_affiliation_string":"AsiaInfo Technologies (China) Inc., Beijing, China, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5103035559"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05559169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"741","last_page":"744"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10860","display_name":"Speech and Audio Processing","score":0.9829000234603882,"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/non-line-of-sight-propagation","display_name":"Non-line-of-sight propagation","score":0.8662629127502441},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7720352411270142},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.6231797933578491},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.5600498914718628},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.481479287147522},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4625171422958374},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4553055167198181},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4375728368759155},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.42645594477653503},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4257306754589081},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4180299639701843},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37372201681137085},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.28195807337760925},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.17401432991027832},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15495029091835022},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10868027806282043}],"concepts":[{"id":"https://openalex.org/C154910267","wikidata":"https://www.wikidata.org/wiki/Q1740982","display_name":"Non-line-of-sight propagation","level":3,"score":0.8662629127502441},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7720352411270142},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.6231797933578491},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5600498914718628},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.481479287147522},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4625171422958374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4553055167198181},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4375728368759155},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.42645594477653503},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4257306754589081},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4180299639701843},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37372201681137085},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.28195807337760925},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.17401432991027832},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15495029091835022},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10868027806282043},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3651671.3651706","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3651671.3651706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 16th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2056132907","https://openalex.org/W2278572312","https://openalex.org/W2295598076","https://openalex.org/W2911964244","https://openalex.org/W2924150273","https://openalex.org/W2942082696","https://openalex.org/W3155535021","https://openalex.org/W3165189988"],"related_works":["https://openalex.org/W2110139052","https://openalex.org/W2376969857","https://openalex.org/W207732638","https://openalex.org/W2258106632","https://openalex.org/W2801592279","https://openalex.org/W2900608567","https://openalex.org/W2786742173","https://openalex.org/W1977989201","https://openalex.org/W4252788403","https://openalex.org/W2770110807"],"abstract_inverted_index":{"In":[0,104],"6G":[1],"networks,":[2],"applying":[3],"native":[4],"AI/ML":[5,79],"techniques":[6,24,61],"to":[7,12,56,95,118],"user":[8],"signal":[9,33,64],"quality":[10],"data":[11,90],"obtain":[13],"high-precision":[14],"location":[15,167],"estimation":[16,129],"is":[17,84,162],"a":[18,114],"typical":[19],"application":[20],"scenario.":[21],"Recent":[22],"advanced":[23],"using":[25,62],"global":[26],"positioning":[27],"system":[28],"(GPS)":[29],"and":[30,50,93,97,112,140,144],"traditional":[31],"received":[32,63],"strength-based":[34],"localization":[35,60,82],"approaches":[36],"are":[37],"model-based.":[38],"However,":[39],"their":[40],"accuracy":[41],"decreases":[42],"under":[43],"the":[44,70,75,100,128,133,158,165],"influence":[45],"of":[46,77],"non-line-of-sight":[47],"(NLoS)":[48],"reception":[49],"multipath":[51],"fading":[52],"channel,":[53],"which":[54],"leads":[55],"demand":[57],"for":[58,89,102],"data-oriented":[59],"strength":[65],"indicator":[66],"(RSSI)":[67],"obtained":[68],"from":[69],"surrounding":[71],"radio":[72],"transmitters":[73],"with":[74,120,137,142],"help":[76],"powerful":[78],"techniques.":[80],"AI/ML-based":[81],"technique":[83],"quite":[85],"challenging":[86],"in":[87,164],"practice":[88],"scarcity":[91],"issues":[92],"how":[94],"capture":[96],"fully":[98],"utilize":[99],"information":[101],"records.":[103],"this":[105],"work,":[106],"we":[107],"conducted":[108],"careful":[109],"feature":[110],"engineering":[111],"proposed":[113],"multi-task":[115,124,159],"learning":[116,125,160],"model":[117,126,161],"cope":[119],"these":[121],"problems.":[122],"The":[123],"improves":[127],"through":[130],"explicitly":[131],"extracting":[132],"RSSI":[134],"distance":[135],"relation":[136],"shared":[138],"layer":[139],"coping":[141],"latitude":[143],"longitude":[145],"simultaneously.":[146],"We":[147],"chose":[148],"three":[149],"tree-based":[150],"models":[151],"as":[152],"baselines.":[153],"Numerical":[154],"experiment":[155],"shows":[156],"that":[157],"promising":[163],"RSSI-based":[166],"estimation.":[168]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
