{"id":"https://openalex.org/W3180913312","doi":"https://doi.org/10.1109/iccworkshops50388.2021.9473594","title":"Path Design for NOMA-Enhanced Robots: A Machine Learning Approach with Radio Map","display_name":"Path Design for NOMA-Enhanced Robots: A Machine Learning Approach with Radio Map","publication_year":2021,"publication_date":"2021-06-01","ids":{"openalex":"https://openalex.org/W3180913312","doi":"https://doi.org/10.1109/iccworkshops50388.2021.9473594","mag":"3180913312"},"language":"en","primary_location":{"id":"doi:10.1109/iccworkshops50388.2021.9473594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccworkshops50388.2021.9473594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","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/A5055980446","display_name":"Ruikang Zhong","orcid":"https://orcid.org/0000-0003-4914-6425"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ruikang Zhong","raw_affiliation_strings":["Queen Mary University of London,London,UK","Queen Mary University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London,London,UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100441049","display_name":"Xiao Liu","orcid":"https://orcid.org/0000-0002-0205-9212"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiao Liu","raw_affiliation_strings":["Queen Mary University of London,London,UK","Queen Mary University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London,London,UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076863392","display_name":"Yuanwei Liu","orcid":"https://orcid.org/0000-0002-6389-8941"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yuanwei Liu","raw_affiliation_strings":["Queen Mary University of London,London,UK","Queen Mary University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London,London,UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366410","display_name":"Di Zhang","orcid":"https://orcid.org/0009-0003-9022-1172"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Zhang","raw_affiliation_strings":["Zhengzhou University,Zhengzhou,China","Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhengzhou University,Zhengzhou,China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029240873","display_name":"Yue Chen","orcid":"https://orcid.org/0000-0003-1070-7192"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yue Chen","raw_affiliation_strings":["Queen Mary University of London,London,UK","Queen Mary University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London,London,UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5055980446"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06496853,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9998999834060669,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9998999834060669,"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/T12079","display_name":"IoT Networks and Protocols","score":0.9980999827384949,"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/T11133","display_name":"UAV Applications and Optimization","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.748476505279541},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7046411037445068},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5762173533439636},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5329566597938538},{"id":"https://openalex.org/keywords/noma","display_name":"Noma","score":0.4930073916912079},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4689571261405945},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.4624834656715393},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4529314637184143},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.45053666830062866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3727731704711914},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.36414003372192383},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.351338267326355},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2712264657020569},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.2469557523727417},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1472337245941162},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.13836273550987244}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.748476505279541},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7046411037445068},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5762173533439636},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5329566597938538},{"id":"https://openalex.org/C2775918612","wikidata":"https://www.wikidata.org/wiki/Q994794","display_name":"Noma","level":3,"score":0.4930073916912079},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4689571261405945},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.4624834656715393},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4529314637184143},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.45053666830062866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3727731704711914},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36414003372192383},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.351338267326355},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2712264657020569},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2469557523727417},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1472337245941162},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.13836273550987244},{"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":2,"locations":[{"id":"doi:10.1109/iccworkshops50388.2021.9473594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccworkshops50388.2021.9473594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:hub.hku.hk:10722/349594","is_oa":false,"landing_page_url":"https://hub.hku.hk/handle/10722/349594","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference_Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2109429694","https://openalex.org/W2173248099","https://openalex.org/W2613466785","https://openalex.org/W2769456309","https://openalex.org/W2785542505","https://openalex.org/W2883649322","https://openalex.org/W2890592307","https://openalex.org/W2929126215","https://openalex.org/W2963864421","https://openalex.org/W2989598077","https://openalex.org/W2999126507","https://openalex.org/W3013797926","https://openalex.org/W3134216721","https://openalex.org/W6684921986","https://openalex.org/W6748398410","https://openalex.org/W6770407973","https://openalex.org/W6790953318"],"related_works":["https://openalex.org/W3030525848","https://openalex.org/W4385197910","https://openalex.org/W2340639785","https://openalex.org/W3010814398","https://openalex.org/W4385197899","https://openalex.org/W3005957545","https://openalex.org/W2076432172","https://openalex.org/W4309235375","https://openalex.org/W2887349183","https://openalex.org/W4364360709"],"abstract_inverted_index":{"A":[0],"communication":[1,32,52,128],"enabled":[2],"indoor":[3],"intelligent":[4],"robots":[5],"(IRs)":[6],"service":[7],"framework":[8],"is":[9,18,87,102,136,160],"proposed,":[10],"where":[11],"the":[12,22,30,38,48,61,67,93,99,107,122,127,163,173],"non-orthogonal":[13],"multiple":[14],"access":[15],"(NOMA)":[16],"technique":[17,124],"adopted":[19],"to":[20,46,59,70,91,106,138,162],"enhance":[21],"data":[23],"rate":[24],"and":[25,37,51,96,104,144,178],"user":[26],"fairness.":[27],"Build":[28],"on":[29],"proposed":[31,158],"model,":[33],"motions":[34],"of":[35,54,121,130,172],"IRs":[36,65],"down-link":[39],"power":[40],"allocation":[41],"policy":[42,83,166],"are":[43],"jointly":[44],"optimized":[45],"maximize":[47],"mission":[49,72],"efficiency":[50,152],"reliability":[53,129],"IRs.":[55],"In":[56,89],"an":[57],"effort":[58],"find":[60],"optimal":[62],"path":[63],"for":[64],"from":[66],"initial":[68],"point":[69],"their":[71],"destinations,":[73],"a":[74,110,140],"novel":[75],"reinforcement":[76],"learning":[77],"approach":[78],"named":[79],"deep":[80,164],"transfer":[81],"deterministic":[82,165],"gradient":[84,167],"(DT-DPG)":[85],"algorithm":[86,159,169],"proposed.":[88],"order":[90],"save":[92],"training":[94,112,142,151,176],"time":[95],"hardware":[97],"costs,":[98],"radio":[100,134],"map":[101,135],"investigated":[103],"provided":[105],"agent":[108],"as":[109],"virtual":[111,141],"environment.":[113],"Our":[114],"simulation":[115],"demonstrates":[116],"that":[117],"1)":[118],"The":[119,133,157],"participation":[120],"NOMA":[123],"effectively":[125],"improves":[126,150],"IRs;":[131],"2)":[132],"qualified":[137],"be":[139],"environment,":[143],"its":[145],"statistical":[146],"channel":[147],"state":[148],"information":[149],"by":[153],"about":[154],"30%;":[155],"3)":[156],"superior":[161],"(DDPG)":[168],"in":[170],"terms":[171],"optimization":[174],"performance,":[175],"time,":[177],"anti-local":[179],"optimum":[180],"ability.":[181]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}