{"id":"https://openalex.org/W2956490771","doi":"https://doi.org/10.1109/icc.2019.8761432","title":"Deep Learning Channel Prediction for Transmit Power Control in Wireless Body Area Networks","display_name":"Deep Learning Channel Prediction for Transmit Power Control in Wireless Body Area Networks","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2956490771","doi":"https://doi.org/10.1109/icc.2019.8761432","mag":"2956490771"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2019.8761432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2019.8761432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","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/A5003356246","display_name":"Yizhou Yang","orcid":"https://orcid.org/0000-0003-3388-7691"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Yizhou Yang","raw_affiliation_strings":["Australian National University"],"affiliations":[{"raw_affiliation_string":"Australian National University","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029898785","display_name":"David B. Smith","orcid":"https://orcid.org/0000-0002-8552-1301"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"David B. Smith","raw_affiliation_strings":["CSIRO Data61"],"affiliations":[{"raw_affiliation_string":"CSIRO Data61","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038376039","display_name":"Suranga Seneviratne","orcid":"https://orcid.org/0000-0002-5485-5595"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Suranga Seneviratne","raw_affiliation_strings":["The University of Sydney"],"affiliations":[{"raw_affiliation_string":"The University of Sydney","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003356246"],"corresponding_institution_ids":["https://openalex.org/I118347636"],"apc_list":null,"apc_paid":null,"fwci":1.4948,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.80952008,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"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":1.0,"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":1.0,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9976999759674072,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9904000163078308,"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":0.8182957768440247},{"id":"https://openalex.org/keywords/narrowband","display_name":"Narrowband","score":0.7535854578018188},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.7433170080184937},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6651886701583862},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5842493772506714},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5686630606651306},{"id":"https://openalex.org/keywords/transmitter-power-output","display_name":"Transmitter power output","score":0.5478950142860413},{"id":"https://openalex.org/keywords/body-area-network","display_name":"Body area network","score":0.529260516166687},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5187954306602478},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5175063610076904},{"id":"https://openalex.org/keywords/power-control","display_name":"Power control","score":0.5125453472137451},{"id":"https://openalex.org/keywords/control-channel","display_name":"Control channel","score":0.44921305775642395},{"id":"https://openalex.org/keywords/radio-channel","display_name":"Radio channel","score":0.4412789046764374},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.426250696182251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38596847653388977},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3612241744995117},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3327208459377289},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.32285720109939575},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.31205546855926514},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.22083893418312073},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.18284350633621216}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8182957768440247},{"id":"https://openalex.org/C2776096036","wikidata":"https://www.wikidata.org/wiki/Q1140483","display_name":"Narrowband","level":2,"score":0.7535854578018188},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.7433170080184937},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6651886701583862},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5842493772506714},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5686630606651306},{"id":"https://openalex.org/C65422117","wikidata":"https://www.wikidata.org/wiki/Q358527","display_name":"Transmitter power output","level":4,"score":0.5478950142860413},{"id":"https://openalex.org/C88737568","wikidata":"https://www.wikidata.org/wiki/Q890056","display_name":"Body area network","level":3,"score":0.529260516166687},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5187954306602478},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5175063610076904},{"id":"https://openalex.org/C56685638","wikidata":"https://www.wikidata.org/wiki/Q2300474","display_name":"Power control","level":3,"score":0.5125453472137451},{"id":"https://openalex.org/C157607044","wikidata":"https://www.wikidata.org/wiki/Q5165851","display_name":"Control channel","level":3,"score":0.44921305775642395},{"id":"https://openalex.org/C2988879021","wikidata":"https://www.wikidata.org/wiki/Q273623","display_name":"Radio channel","level":3,"score":0.4412789046764374},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.426250696182251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38596847653388977},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3612241744995117},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3327208459377289},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.32285720109939575},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.31205546855926514},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.22083893418312073},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.18284350633621216},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2019.8761432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2019.8761432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8899999856948853,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W581956982","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1836465849","https://openalex.org/W1892577571","https://openalex.org/W1924011335","https://openalex.org/W2039762653","https://openalex.org/W2064675550","https://openalex.org/W2123012432","https://openalex.org/W2140237068","https://openalex.org/W2142885127","https://openalex.org/W2156271979","https://openalex.org/W2293634267","https://openalex.org/W2895432151","https://openalex.org/W2964121744","https://openalex.org/W3118301299","https://openalex.org/W6616837769","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6638667902","https://openalex.org/W6696934422","https://openalex.org/W6755325935","https://openalex.org/W6788456112"],"related_works":["https://openalex.org/W2047190101","https://openalex.org/W2135520952","https://openalex.org/W2119242488","https://openalex.org/W1572929882","https://openalex.org/W2004871951","https://openalex.org/W2127684020","https://openalex.org/W2109161990","https://openalex.org/W1992942434","https://openalex.org/W2100930811","https://openalex.org/W3205545143"],"abstract_inverted_index":{"The":[0],"general":[1],"non-stationarity":[2],"of":[3],"the":[4,84,92,110],"wireless":[5],"body":[6],"area":[7],"network":[8,29],"(WBAN)":[9],"narrowband":[10],"radio":[11,40],"channel":[12,41,45,54,59,112],"makes":[13],"long-term":[14,58],"prediction":[15,55,60,113],"very":[16],"challenging.":[17],"However,":[18],"long":[19],"short-term":[20],"memory":[21],"(LSTM)":[22],"is":[23,33],"a":[24,79],"deep":[25],"learning":[26],"recurrent":[27],"neural":[28],"(RNN)":[30],"architecture":[31],"that":[32],"proposed":[34,93,111],"here":[35,48],"to":[36,62,87],"learn":[37],"these":[38],"atypical":[39],"dynamics":[42],"and":[43],"make":[44],"predictions.":[46],"Thus,":[47],"we":[49,77],"propose":[50],"an":[51],"LSTM-based":[52],"RNN":[53],"framework":[56],"providing":[57],"up":[61],"2s":[63],"with":[64,107],"low":[65],"error.":[66],"To":[67],"address":[68],"practical":[69],"scenarios":[70],"where":[71],"information":[72],"packets":[73],"are":[74],"transmitted":[75],"continuously,":[76],"outline":[78],"timing":[80],"scheme,":[81],"which":[82],"enables":[83],"LSTM":[85],"predictor":[86],"operate":[88],"online.":[89],"We":[90],"employ":[91],"method":[94],"in":[95],"transmit":[96],"power":[97,116],"control":[98],"for":[99],"everyday":[100],"on-body,":[101],"measured,":[102],"WBAN":[103],"channels.":[104],"When":[105],"compared":[106],"existing":[108],"approaches,":[109],"reduces":[114],"circuit":[115],"consumption":[117],"significantly":[118],"while":[119],"improving":[120],"communications":[121],"reliability.":[122]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}