{"id":"https://openalex.org/W3046219116","doi":"https://doi.org/10.1109/icc40277.2020.9149409","title":"Placement Learning for Multi-UAV Relaying: A Gibbs Sampling Approach","display_name":"Placement Learning for Multi-UAV Relaying: A Gibbs Sampling Approach","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3046219116","doi":"https://doi.org/10.1109/icc40277.2020.9149409","mag":"3046219116"},"language":"en","primary_location":{"id":"doi:10.1109/icc40277.2020.9149409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc40277.2020.9149409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2020 - 2020 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/A5081714471","display_name":"Zhenyu Kang","orcid":"https://orcid.org/0000-0002-1476-5210"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhenyu Kang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010397043","display_name":"Changsheng You","orcid":"https://orcid.org/0000-0003-3245-9361"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Changsheng You","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100422102","display_name":"Rui Zhang","orcid":"https://orcid.org/0000-0002-8729-8393"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Rui Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":16.3152,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.98390746,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"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/T11133","display_name":"UAV Applications and Optimization","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"}},"topics":[{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9660000205039978,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9460999965667725,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.6881837844848633},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6688358783721924},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6371707916259766},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.592392086982727},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5715526938438416},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.48987266421318054},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.4792923331260681},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.4768301546573639},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.46975234150886536},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.4525628685951233},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4331977963447571},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.417540967464447},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.41204768419265747},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.3752627968788147},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2855663299560547},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18370428681373596},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.17467626929283142},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12690863013267517},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08104094862937927}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6881837844848633},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6688358783721924},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6371707916259766},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.592392086982727},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5715526938438416},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.48987266421318054},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.4792923331260681},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.4768301546573639},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.46975234150886536},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.4525628685951233},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4331977963447571},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.417540967464447},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.41204768419265747},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.3752627968788147},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2855663299560547},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18370428681373596},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.17467626929283142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12690863013267517},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08104094862937927},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc40277.2020.9149409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc40277.2020.9149409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2523219060","https://openalex.org/W2558431499","https://openalex.org/W2783067984","https://openalex.org/W2804347349","https://openalex.org/W2962726494","https://openalex.org/W2963061782","https://openalex.org/W2963555336","https://openalex.org/W2963569053","https://openalex.org/W2963615009","https://openalex.org/W2964310887","https://openalex.org/W2969731533","https://openalex.org/W3012319098","https://openalex.org/W3105098226"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W1985458517","https://openalex.org/W2355833770","https://openalex.org/W3031039437","https://openalex.org/W3095877357","https://openalex.org/W183202219","https://openalex.org/W10861731","https://openalex.org/W197998369","https://openalex.org/W2408847736"],"abstract_inverted_index":{"In":[0],"this":[1,59],"paper,":[2],"we":[3,62,97],"consider":[4],"a":[5,71,83,119,135,147,153,163,183],"multi-unmanned":[6],"aerial":[7],"vehicle":[8],"(UAV)":[9],"relaying":[10,20],"system":[11],"where":[12,166],"the":[13,38,50,75,87,93,103,116,123,129,158,167,173,192,196,206,215],"UAVs":[14],"are":[15,170,202],"deployed":[16],"to":[17,26,36,70,115,128,144,190,204,220],"assist":[18],"data":[19],"from":[21],"multiple":[22],"ground":[23],"source":[24],"nodes":[25],"their":[27],"corresponding":[28,69],"destination":[29],"nodes.":[30],"An":[31],"optimization":[32],"problem":[33,73,85],"is":[34,112,188],"formulated":[35],"maximize":[37],"minimum":[39],"achievable":[40],"rate":[41,125,208],"among":[42],"all":[43],"pairs":[44],"of":[45,118,155,176,179,195,214],"nodes,":[46],"by":[47,101,151,172],"jointly":[48],"designing":[49],"UAV":[51,80,88,130,149,159,180],"placement":[52,81,89,142,150,160],"and":[53,82,210],"communication":[54],"resource":[55,76],"allocation.":[56],"To":[57],"solve":[58,99],"non-convex":[60,94],"problem,":[61,96,110],"first":[63],"reformulate":[64],"it":[65,100],"into":[66],"two":[67],"sub-problems,":[68],"slave":[72,95],"for":[74,86,92,122,157],"allocation":[77],"given":[78],"fixed":[79],"master":[84,109],"optimization.":[90],"Then":[91],"sub-optimally":[98],"using":[102],"successive":[104],"convex":[105],"approximation":[106],"method.":[107],"The":[108],"however,":[111],"intractable":[113],"due":[114],"lack":[117],"closed-form":[120],"expression":[121],"max-min":[124,174],"with":[126],"respect":[127],"placement.":[131,181],"We":[132],"thus":[133],"propose":[134],"new":[136],"solution":[137],"approach,":[138],"called":[139],"Gibbs-sampling-based":[140],"(GSB)":[141],"learning,":[143],"gradually":[145],"learn":[146],"sub-optimal":[148],"generating":[152],"sequence":[154],"samples":[156],"that":[161],"constitute":[162],"Markov":[164],"chain,":[165],"transition":[168],"probabilities":[169],"determined":[171],"rates":[175],"different":[177],"configurations":[178],"Furthermore,":[182],"high-quality":[184],"UAV-placement":[185],"initialization":[186],"scheme":[187,217],"proposed":[189,197,216],"accelerate":[191],"convergence":[193,212],"speed":[194,213],"GSB":[198],"algorithm.":[199],"Numerical":[200],"results":[201],"presented":[203],"demonstrate":[205],"significant":[207],"improvement":[209],"fast":[211],"as":[218],"compared":[219],"various":[221],"benchmark":[222],"schemes.":[223]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
