{"id":"https://openalex.org/W4405104342","doi":"https://doi.org/10.1109/milcom61039.2024.10774028","title":"Enhancing Battlefield Awareness: An Aerial RIS-assisted ISAC System with Deep Reinforcement Learning","display_name":"Enhancing Battlefield Awareness: An Aerial RIS-assisted ISAC System with Deep Reinforcement Learning","publication_year":2024,"publication_date":"2024-10-28","ids":{"openalex":"https://openalex.org/W4405104342","doi":"https://doi.org/10.1109/milcom61039.2024.10774028"},"language":"en","primary_location":{"id":"doi:10.1109/milcom61039.2024.10774028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom61039.2024.10774028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM)","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/A5045154945","display_name":"Hyun Sang Cho","orcid":"https://orcid.org/0000-0003-1019-9941"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyunsang Cho","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology (KAIST),Daejeon,Korea"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology (KAIST),Daejeon,Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101895642","display_name":"Seonghoon Yoo","orcid":"https://orcid.org/0009-0001-6821-9522"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seonghoon Yoo","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology (KAIST),Daejeon,Korea"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology (KAIST),Daejeon,Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039254133","display_name":"Bang Chul Jung","orcid":"https://orcid.org/0000-0002-4485-9592"},"institutions":[{"id":"https://openalex.org/I196345858","display_name":"Chungnam National University","ror":"https://ror.org/0227as991","country_code":"KR","type":"education","lineage":["https://openalex.org/I196345858"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Bang Chul Jung","raw_affiliation_strings":["Chungnam National University,Daejeon,Korea"],"affiliations":[{"raw_affiliation_string":"Chungnam National University,Daejeon,Korea","institution_ids":["https://openalex.org/I196345858"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062994489","display_name":"Joonhyuk Kang","orcid":"https://orcid.org/0000-0002-5508-3742"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joonhyuk Kang","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology (KAIST),Daejeon,Korea"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology (KAIST),Daejeon,Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045154945"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":5.2929,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.95102234,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"469","last_page":"474"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9406999945640564,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9406999945640564,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9077000021934509,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9074000120162964,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.757504940032959},{"id":"https://openalex.org/keywords/battlefield","display_name":"Battlefield","score":0.6749733686447144},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6730986833572388},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.39995765686035156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3344731330871582}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.757504940032959},{"id":"https://openalex.org/C2779669469","wikidata":"https://www.wikidata.org/wiki/Q4895508","display_name":"Battlefield","level":2,"score":0.6749733686447144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6730986833572388},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39995765686035156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3344731330871582},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C195244886","wikidata":"https://www.wikidata.org/wiki/Q41493","display_name":"Ancient history","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/milcom61039.2024.10774028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom61039.2024.10774028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2963061782","https://openalex.org/W2969424089","https://openalex.org/W2973229164","https://openalex.org/W3072033075","https://openalex.org/W3127940641","https://openalex.org/W3133945977","https://openalex.org/W3171008701","https://openalex.org/W3194620979","https://openalex.org/W3214416356","https://openalex.org/W4285047777","https://openalex.org/W4293370897","https://openalex.org/W4327928524","https://openalex.org/W4381327602","https://openalex.org/W4381785965","https://openalex.org/W4391547700","https://openalex.org/W4391935941","https://openalex.org/W4392826420","https://openalex.org/W4396817487"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W1984179778","https://openalex.org/W2363573290","https://openalex.org/W2387459700","https://openalex.org/W2362261179","https://openalex.org/W2383940993","https://openalex.org/W2354389285","https://openalex.org/W2387678935"],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"a":[3,35,45],"joint":[4],"communication":[5,30],"and":[6,29,44,66,93],"sensing":[7,28,46],"technique":[8,83],"for":[9],"enhancing":[10],"situational":[11],"awareness":[12],"in":[13],"practical":[14],"battlefield":[15],"scenarios.":[16],"In":[17],"particular,":[18],"we":[19,53],"propose":[20],"an":[21,40],"aerial":[22],"reconfigurable":[23],"intelligent":[24],"surface":[25],"(ARIS)-assisted":[26],"integrated":[27],"(ISAC)":[31],"system":[32],"consisting":[33],"of":[34,59,69],"single":[36],"access":[37],"point":[38],"(AP),":[39],"ARIS,":[41],"multiple":[42],"users,":[43],"target.":[47],"With":[48],"deep":[49],"reinforcement":[50],"learning":[51],"(DRL),":[52],"jointly":[54],"optimize":[55],"the":[56,60,62,67,70,81,85,91,99],"transmit":[57],"beamforming":[58],"AP,":[61],"RIS":[63,100],"phase":[64,101],"shifts,":[65],"trajectory":[68],"ARIS":[71],"under":[72],"signal-to-interference-noise":[73],"ratio":[74],"(SINR)":[75],"constraints.":[76],"Numerical":[77],"results":[78],"demonstrate":[79],"that":[80],"proposed":[82],"outperforms":[84],"conventional":[86],"benchmark":[87],"schemes":[88],"by":[89],"suppressing":[90],"self-interference":[92],"clutter":[94],"echo":[95],"signals":[96],"or":[97],"optimizing":[98],"shifts.":[102]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
