{"id":"https://openalex.org/W4402125220","doi":"https://doi.org/10.1109/blackseacom61746.2024.10646242","title":"Reliable UAV Navigation Using Cellular Networks: A Deep Reinforcement Learning Approach","display_name":"Reliable UAV Navigation Using Cellular Networks: A Deep Reinforcement Learning Approach","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4402125220","doi":"https://doi.org/10.1109/blackseacom61746.2024.10646242"},"language":"en","primary_location":{"id":"doi:10.1109/blackseacom61746.2024.10646242","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/blackseacom61746.2024.10646242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","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/A5076978684","display_name":"Ghada Afifi","orcid":null},"institutions":[{"id":"https://openalex.org/I80693520","display_name":"American University in Cairo","ror":"https://ror.org/0176yqn58","country_code":"EG","type":"education","lineage":["https://openalex.org/I80693520"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ghada Afifi","raw_affiliation_strings":["The American University in Cairo,Department of Electronics and Communications Engineering,New Cairo,Egypt,11835"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The American University in Cairo,Department of Electronics and Communications Engineering,New Cairo,Egypt,11835","institution_ids":["https://openalex.org/I80693520"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085692317","display_name":"Yasser Gadallah","orcid":"https://orcid.org/0000-0001-8099-505X"},"institutions":[{"id":"https://openalex.org/I80693520","display_name":"American University in Cairo","ror":"https://ror.org/0176yqn58","country_code":"EG","type":"education","lineage":["https://openalex.org/I80693520"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Yasser Gadallah","raw_affiliation_strings":["The American University in Cairo,Department of Electronics and Communications Engineering,New Cairo,Egypt,11835"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The American University in Cairo,Department of Electronics and Communications Engineering,New Cairo,Egypt,11835","institution_ids":["https://openalex.org/I80693520"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2655,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87242066,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"2015","issue":null,"first_page":"30","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9998999834060669,"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":0.9998999834060669,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9865000247955322,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.848639965057373},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7470213174819946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49831366539001465},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3507840037345886}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.848639965057373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7470213174819946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49831366539001465},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3507840037345886}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/blackseacom61746.2024.10646242","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/blackseacom61746.2024.10646242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2468524012","https://openalex.org/W2537453745","https://openalex.org/W2559971441","https://openalex.org/W2805186583","https://openalex.org/W2899746873","https://openalex.org/W2960056049","https://openalex.org/W2962726494","https://openalex.org/W2980412543","https://openalex.org/W2996110936","https://openalex.org/W2999032021","https://openalex.org/W3049118713","https://openalex.org/W3122961482","https://openalex.org/W3153246836","https://openalex.org/W3181621367","https://openalex.org/W3189235517","https://openalex.org/W3208032334","https://openalex.org/W3213287992","https://openalex.org/W4281661543","https://openalex.org/W4312460693"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4306904969","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2138720691","https://openalex.org/W2376932109","https://openalex.org/W4362501864"],"abstract_inverted_index":{"The":[0,30],"reliability":[1,82],"of":[2,24,113,120,136,188],"UAV":[3,65,80,87,101,122,147,176],"trajectory":[4,20,41,81,92],"planning":[5,21,42],"solutions":[6],"is":[7,15],"crucial":[8],"for":[9,142],"mission":[10,96],"critical":[11],"applications.":[12],"Our":[13],"objective":[14],"to":[16,37,53,61,70,86,93,109,171,184,198],"propose":[17,52,155,163],"a":[18,39,67,71,79,105,156,169],"reliable":[19,40,175],"solution":[22,43,138,195],"independent":[23],"transmissible":[25],"detectable":[26],"signals":[27,56],"and":[28,48,126,149],"GPS.":[29],"inherently":[31],"noisy":[32],"GPS":[33],"measurements":[34],"are":[35],"unable":[36],"provide":[38,180],"especially":[44],"in":[45,73,151],"dense":[46],"urban":[47],"suburban":[49],"environments.":[50,75],"We":[51,76,98,131,179],"utilize":[54],"broadcast":[55],"from":[57,66],"existing":[58],"cellular":[59],"networks":[60],"reliably":[62,148],"navigate":[63,145],"the":[64,91,100,111,118,121,133,137,146,173,186,199],"given":[68],"source":[69],"destination":[72],"outdoor":[74],"therefore":[77],"derive":[78],"model":[83],"as":[84,104,168,196],"pertains":[85],"motion":[88,115],"uncertainty":[89],"along":[90,117],"ensure":[94],"successful":[95],"completion.":[97],"formulate":[99],"navigation":[102,177],"problem":[103,108],"constrained":[106],"optimization":[107],"maximize":[110],"probability":[112],"minimum":[114],"error":[116],"path":[119,128],"with":[123],"collision":[124],"avoidance":[125],"shortest":[127],"length":[129],"constraints.":[130],"determine":[132],"optimal":[134,200],"bound":[135],"utilizing":[139],"optimization-based":[140],"techniques":[141],"benchmarking.":[143],"To":[144],"autonomously":[150],"real":[152],"time,":[153],"we":[154,162],"machine":[157],"learning":[158],"based":[159],"technique.":[160],"Specifically,":[161],"double":[164],"deep":[165],"Q-Learning":[166],"(DDQN)":[167],"framework":[170],"solve":[172],"formulated":[174],"problem.":[178],"an":[181],"in-depth":[182],"evaluation":[183],"assess":[185],"performance":[187],"our":[189],"proposed":[190],"Deep":[191],"Reinforcement":[192],"Learning":[193],"(DRL)-based":[194],"compared":[197],"bound.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}