{"id":"https://openalex.org/W7116836851","doi":"https://doi.org/10.1109/itnac66378.2025.11302678","title":"Autocorrelation Reinforcement Learning for Non-Stationary Power-aware Wireless Body Area Networks","display_name":"Autocorrelation Reinforcement Learning for Non-Stationary Power-aware Wireless Body Area Networks","publication_year":2025,"publication_date":"2025-11-26","ids":{"openalex":"https://openalex.org/W7116836851","doi":"https://doi.org/10.1109/itnac66378.2025.11302678"},"language":null,"primary_location":{"id":"doi:10.1109/itnac66378.2025.11302678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itnac66378.2025.11302678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 35th International Telecommunication Networks and Applications Conference (ITNAC)","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/A5121039460","display_name":"Da-Ren Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I131948415","display_name":"National Taichung University of Science and Technology","ror":"https://ror.org/05bgcav40","country_code":"TW","type":"education","lineage":["https://openalex.org/I131948415"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Da-Ren Chen","raw_affiliation_strings":["National Taichung University of Science and Technology,Department of Information Management,Taichung City,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taichung University of Science and Technology,Department of Information Management,Taichung City,Taiwan","institution_ids":["https://openalex.org/I131948415"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5121039460"],"corresponding_institution_ids":["https://openalex.org/I131948415"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.57098546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11932","display_name":"Wireless Body Area Networks","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11249","display_name":"Wireless Power Transfer Systems","score":0.0035000001080334187,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.0017000000225380063,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.6398000121116638},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6133999824523926},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5546000003814697},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4918999969959259},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4715000092983246},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.4607999920845032},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.43689998984336853},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4221999943256378},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.41780000925064087}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6952999830245972},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6398000121116638},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6133999824523926},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5546000003814697},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4918999969959259},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.47850000858306885},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4715000092983246},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.4607999920845032},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.43689998984336853},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4221999943256378},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.41780000925064087},{"id":"https://openalex.org/C65422117","wikidata":"https://www.wikidata.org/wiki/Q358527","display_name":"Transmitter power output","level":4,"score":0.3991999924182892},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.38040000200271606},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.3783000111579895},{"id":"https://openalex.org/C56685638","wikidata":"https://www.wikidata.org/wiki/Q2300474","display_name":"Power control","level":3,"score":0.34209999442100525},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.33079999685287476},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.31049999594688416},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.30219998955726624},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.296999990940094},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.29490000009536743},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.2870999872684479},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.27630001306533813},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27459999918937683},{"id":"https://openalex.org/C116544410","wikidata":"https://www.wikidata.org/wiki/Q1478122","display_name":"Shadow mapping","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2635999917984009}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itnac66378.2025.11302678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itnac66378.2025.11302678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 35th International Telecommunication Networks and Applications Conference (ITNAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9022948145866394,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1994920772","https://openalex.org/W2008225541","https://openalex.org/W2011509625","https://openalex.org/W2087070363","https://openalex.org/W2124246536","https://openalex.org/W2130172960","https://openalex.org/W2135964356","https://openalex.org/W2145850537","https://openalex.org/W2152481521","https://openalex.org/W2282548695","https://openalex.org/W2318059334","https://openalex.org/W2766466591","https://openalex.org/W2884545575","https://openalex.org/W2902711397","https://openalex.org/W2919158374","https://openalex.org/W2963007936","https://openalex.org/W2963035514","https://openalex.org/W2963572165","https://openalex.org/W2969194420","https://openalex.org/W2998149442","https://openalex.org/W3047600464","https://openalex.org/W3185027519","https://openalex.org/W4206275166"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"an":[5],"auto-correlational":[6],"reinforcement":[7],"learning":[8],"for":[9,23],"QoS":[10,55],"wireless":[11],"body":[12,106],"area":[13],"networks":[14],"(WBANs)":[15],"based":[16],"on":[17],"link":[18],"adaptation":[19],"(LA),":[20],"which":[21],"designed":[22],"non-stationary":[24],"channel":[25,101],"status":[26],"where":[27],"sensors":[28,132],"have":[29],"limited":[30],"computational":[31],"capabilities.":[32],"The":[33,59,95],"proposed":[34,93,96],"scheme":[35],"leverages":[36],"Signal-to-Noise":[37],"Ratio":[38],"(SNR)":[39],"and":[40,64,66,77],"transmit":[41,113],"power":[42,110],"to":[43,70,80,91,107,118,135,142],"effectively":[44],"exploit":[45],"the":[46,72,92,100,104,127,131],"most":[47],"energy-efficient":[48],"modulation-and-coding":[49],"schemes":[50],"(MCS)":[51],"while":[52],"satisfying":[53],"target":[54],"without":[56],"configuration":[57],"tuning.":[58],"models,":[60],"including":[61],"power,":[62],"SNR":[63],"pathloss":[65],"shadowing":[67],"are":[68],"applied":[69,90],"compute":[71],"length":[73],"of":[74,116,130],"sliding":[75],"window":[76],"autocorrelation":[78],"statistics":[79],"determine":[81],"appropriate":[82],"MCS.":[83],"An":[84],"effective":[85],"Thompson":[86],"Sampling":[87],"(GTS)":[88],"is":[89],"method.":[94],"method":[97],"can":[98],"adapt":[99],"conditions":[102],"surrounding":[103],"human":[105],"achieve":[108],"significant":[109],"savings,":[111],"with":[112],"energy":[114],"reductions":[115],"up":[117,134],"$\\mathbf{1":[119],"2":[120,122],".":[121,138],"\\%}$.":[123],"Additionally,":[124],"it":[125],"extends":[126],"operating":[128],"time":[129],"by":[133],"$\\mathbf{2":[136],"5":[137],"4":[139],"\\%}$":[140],"compared":[141],"existing":[143],"methods.":[144]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-12-23T00:00:00"}
