{"id":"https://openalex.org/W2787288063","doi":"https://doi.org/10.1109/pimrc.2017.8292441","title":"Adaptive beamforming using Monte-Carlo algorithm for multi-antenna wireless power transfer","display_name":"Adaptive beamforming using Monte-Carlo algorithm for multi-antenna wireless power transfer","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2787288063","doi":"https://doi.org/10.1109/pimrc.2017.8292441","mag":"2787288063"},"language":"en","primary_location":{"id":"doi:10.1109/pimrc.2017.8292441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2017.8292441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","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/A5100728341","display_name":"Y. B. Zhao","orcid":"https://orcid.org/0000-0002-7540-9092"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yubin Zhao","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","Shenzhen Yaoyuan Technology Co. Ltd., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Shenzhen Yaoyuan Technology Co. Ltd., Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100637082","display_name":"Xiaofan Li","orcid":"https://orcid.org/0000-0002-6687-5569"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofan Li","raw_affiliation_strings":["Shenzhen Institute of Radio Testing & Tech., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Radio Testing & Tech., Shenzhen, China","institution_ids":["https://openalex.org/I158809036"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012773300","display_name":"Chengzhong Xu","orcid":"https://orcid.org/0000-0001-9480-0356"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng-Zhong Xu","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100382658","display_name":"Xiaodong Wang","orcid":"https://orcid.org/0000-0002-2945-9240"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]},{"id":"https://openalex.org/I45029084","display_name":"City University of Seattle","ror":"https://ror.org/008a9hf75","country_code":"US","type":"education","lineage":["https://openalex.org/I4210086682","https://openalex.org/I45029084"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaodong Wang","raw_affiliation_strings":["Department of Electrical Engineering, Columbia University, New York City, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Columbia University, New York City, USA","institution_ids":["https://openalex.org/I78577930","https://openalex.org/I45029084"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100728341"],"corresponding_institution_ids":["https://openalex.org/I4210145761"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19546219,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","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/T11392","display_name":"Energy Harvesting in Wireless Networks","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/T10069","display_name":"Antenna Design and Analysis","score":0.9998000264167786,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9994000196456909,"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/beamforming","display_name":"Beamforming","score":0.703660249710083},{"id":"https://openalex.org/keywords/rss","display_name":"RSS","score":0.6952004432678223},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6748968362808228},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5758092999458313},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5214425921440125},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.45826607942581177},{"id":"https://openalex.org/keywords/wireless-power-transfer","display_name":"Wireless power transfer","score":0.44501766562461853},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.44458267092704773},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.4270429313182831},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.42157578468322754},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.4123815596103668},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3506411015987396},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3493645191192627},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18539348244667053},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1751176416873932},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13432693481445312},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1022070050239563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08500930666923523}],"concepts":[{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.703660249710083},{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.6952004432678223},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6748968362808228},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5758092999458313},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5214425921440125},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.45826607942581177},{"id":"https://openalex.org/C2779423816","wikidata":"https://www.wikidata.org/wiki/Q6856398","display_name":"Wireless power transfer","level":3,"score":0.44501766562461853},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.44458267092704773},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.4270429313182831},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.42157578468322754},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.4123815596103668},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3506411015987396},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3493645191192627},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18539348244667053},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1751176416873932},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13432693481445312},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1022070050239563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08500930666923523},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc.2017.8292441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2017.8292441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1783275161","https://openalex.org/W1937106107","https://openalex.org/W1964338924","https://openalex.org/W1967658871","https://openalex.org/W1991571965","https://openalex.org/W1997311471","https://openalex.org/W2058705882","https://openalex.org/W2081071884","https://openalex.org/W2107319425","https://openalex.org/W2586777836","https://openalex.org/W2623240012","https://openalex.org/W3101220995","https://openalex.org/W3104612859"],"related_works":["https://openalex.org/W426968574","https://openalex.org/W2365639220","https://openalex.org/W2382520895","https://openalex.org/W2393709043","https://openalex.org/W2080567403","https://openalex.org/W2539387137","https://openalex.org/W2088352174","https://openalex.org/W3084132786","https://openalex.org/W4327661444","https://openalex.org/W2034991012"],"abstract_inverted_index":{"Using":[0],"multi-antennas":[1],"can":[2,44,135],"improve":[3],"the":[4,9,20,64,82,88,97,107,125,144],"received":[5,33,66,146],"energy":[6],"efficiency":[7],"of":[8,24,39],"radio-frequency":[10],"(RF)":[11],"enabled":[12],"wireless":[13],"power":[14,67],"transfer":[15],"(WPT)":[16],"system.":[17],"However,":[18],"for":[19],"resource":[21],"constrained":[22],"internet":[23],"things":[25],"(IoT)":[26],"devices,":[27],"only":[28,85],"partial":[29],"information":[30,42],"which":[31],"is":[32,93],"signal":[34],"strength":[35],"(RSS)":[36],"value":[37,141],"instead":[38],"channel":[40,77],"state":[41],"(CSI)":[43],"be":[45],"fed":[46],"back.":[47],"In":[48,115],"this":[49,133],"paper,":[50],"we":[51,117],"propose":[52],"an":[53,112,139],"adaptive":[54],"random":[55,98],"beamforming":[56,83,99],"algorithm":[57,71,122,134],"based":[58],"on":[59],"Monte-Carlo":[60],"method":[61],"to":[62,87,95,106,123,138],"achieve":[63,143],"maximum":[65,145],"efficiency.":[68],"The":[69,128],"proposed":[70],"does":[72],"not":[73],"require":[74],"any":[75],"complicated":[76],"estimation":[78],"and":[79,102,142],"it":[80],"adapts":[81],"scheme":[84],"according":[86,105],"RSS":[89,109],"values.":[90],"Gibbs":[91],"sampling":[92],"used":[94],"generate":[96],"weight":[100],"vectors":[101],"re-sample":[103],"them":[104],"feedback":[108],"values":[110],"in":[111],"iterative":[113],"manner.":[114],"addition,":[116],"employ":[118],"a":[119],"simulated":[120],"annealing":[121],"control":[124],"convergence":[126],"rate.":[127],"simulation":[129],"results":[130],"indicate":[131],"that":[132],"fast":[136],"converge":[137],"optimal":[140],"power.":[147]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}