{"id":"https://openalex.org/W4402158255","doi":"https://doi.org/10.1109/icc51166.2024.10622162","title":"Integrated Safe Motion Planning and Distributed Cyclic Delay Diversity","display_name":"Integrated Safe Motion Planning and Distributed Cyclic Delay Diversity","publication_year":2024,"publication_date":"2024-06-09","ids":{"openalex":"https://openalex.org/W4402158255","doi":"https://doi.org/10.1109/icc51166.2024.10622162"},"language":"en","primary_location":{"id":"doi:10.1109/icc51166.2024.10622162","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icc51166.2024.10622162","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","raw_type":"proceedings-article"},"type":"conference-paper","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/A5059938882","display_name":"Kyeong Jin Kim","orcid":"https://orcid.org/0000-0002-1943-8307"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]},{"id":"https://openalex.org/I4210133173","display_name":"Research!America (United States)","ror":"https://ror.org/044pgyv50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133173"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyeong Jin Kim","raw_affiliation_strings":["Samsung Research America,Plano,TX,USA,75024"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Research America,Plano,TX,USA,75024","institution_ids":["https://openalex.org/I4210101778","https://openalex.org/I4210133173"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103582093","display_name":"Yuming Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]},{"id":"https://openalex.org/I4210133173","display_name":"Research!America (United States)","ror":"https://ror.org/044pgyv50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133173"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuming Zhu","raw_affiliation_strings":["Samsung Research America,Plano,TX,USA,75024"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Research America,Plano,TX,USA,75024","institution_ids":["https://openalex.org/I4210101778","https://openalex.org/I4210133173"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042307561","display_name":"H. Vincent Poor","orcid":"https://orcid.org/0000-0002-2062-131X"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Vincent Poor","raw_affiliation_strings":["Princeton University,Department of Electrical and Computer Engineering,Princeton,NJ,USA,08544"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University,Department of Electrical and Computer Engineering,Princeton,NJ,USA,08544","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"897","last_page":"902"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10142","display_name":"Formal Methods in Verification","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/diversity","display_name":"Diversity (politics)","score":0.5902462601661682},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5533490180969238},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.49654728174209595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15438461303710938}],"concepts":[{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.5902462601661682},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5533490180969238},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.49654728174209595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15438461303710938},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc51166.2024.10622162","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icc51166.2024.10622162","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2066074119","https://openalex.org/W2749851874","https://openalex.org/W2917089854","https://openalex.org/W2919180142","https://openalex.org/W2945289552","https://openalex.org/W2946469828","https://openalex.org/W2968165677","https://openalex.org/W2976344064","https://openalex.org/W2981759303","https://openalex.org/W3107130550","https://openalex.org/W3110512320","https://openalex.org/W3178743040","https://openalex.org/W3201913099","https://openalex.org/W3214438853","https://openalex.org/W4205224043","https://openalex.org/W4224933320","https://openalex.org/W4285102423","https://openalex.org/W4297792840","https://openalex.org/W4384159629","https://openalex.org/W6747473740","https://openalex.org/W6748839928"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"In":[0,25],"this":[1,111],"paper,":[2,112],"we":[3,113],"propose":[4,114],"a":[5,12,56,78,115],"safe":[6,145,183],"motion":[7,107,146,184],"planning":[8,147,185],"protocol":[9],"that":[10,148,168],"integrates":[11],"distributed":[13,59],"cyclic":[14],"delay":[15],"diversity":[16],"(dCDD)":[17],"system":[18],"for":[19,130],"indoor":[20],"environments":[21],"with":[22,137,151],"static":[23,153],"obstacles.":[24],"addition":[26],"to":[27,38,90,124,133],"collision":[28,150],"avoidance,":[29],"an":[30,43],"additional":[31],"goal":[32],"of":[33,42,58,68,80,94,97],"jointly":[34],"minimizing":[35,156],"energy":[36,105,159],"consumption":[37],"control":[39,158],"dynamic":[40],"movements":[41],"unmanned":[44],"autonomous":[45],"ground":[46],"vehicle":[47],"(AGV)":[48],"and":[49,85,117,126,161,176,186],"maximizing":[50,163],"spectral":[51],"efficiency":[52],"(SE)":[53],"achieved":[54,174],"by":[55,178],"set":[57],"remote":[60],"radio":[61],"heads":[62],"is":[63],"investigated":[64],"in":[65,110],"the":[66,83,92,95,98,104,131,138,144,152,157,179],"framework":[67],"reinforcement":[69],"learning":[70],"(RL).":[71],"There":[72],"are":[73],"several":[74],"challenges,":[75],"such":[76],"as":[77],"lack":[79],"knowledge":[81],"about":[82],"environment":[84],"nonexistent":[86],"feasible":[87],"mathematical":[88],"analysis":[89],"utilize":[91],"distribution":[93],"sum":[96],"receive":[99],"signal-to-noise":[100],"ratios":[101],"(SNRs)":[102],"over":[103],"conscious":[106],"planning.":[108],"Thus,":[109],"model-free":[116],"off-policy":[118],"soft":[119],"actor":[120],"critic":[121],"(SAC)":[122],"algorithm":[123],"learn":[125],"determine":[127],"optimal":[128],"actions":[129],"AGV":[132],"reach":[134],"its":[135],"target":[136],"following":[139],"three":[140,170],"objectives:":[141],"i)":[142],"achieving":[143],"avoids":[149],"obstacles,":[154],"ii)":[155],"consumption,":[160],"iii)":[162],"SE.":[164],"Simulation":[165],"results":[166],"verify":[167],"these":[169],"objectives":[171],"can":[172],"be":[173],"efficiently":[175],"effectively":[177],"proposed":[180],"integrated":[181],"SAC-based":[182],"dCDD":[187],"system.":[188]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}