{"id":"https://openalex.org/W4414538783","doi":"https://doi.org/10.1109/icc52391.2025.11160827","title":"Sum Rate Enhancement using Machine Learning for Semi-Self Sensing Hybrid RIS-Enabled ISAC in THz Bands","display_name":"Sum Rate Enhancement using Machine Learning for Semi-Self Sensing Hybrid RIS-Enabled ISAC in THz Bands","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4414538783","doi":"https://doi.org/10.1109/icc52391.2025.11160827"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11160827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11160827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","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/A5003745190","display_name":"Sara Mobarak","orcid":"https://orcid.org/0000-0002-4530-1080"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Sara Farrag Mobarak","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Ottawa,Ottawa,Canada"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa,Ottawa,Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015965562","display_name":"Tingnan Bao","orcid":"https://orcid.org/0000-0003-0296-3110"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Tingnan Bao","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Ottawa,Ottawa,Canada"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa,Ottawa,Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089891162","display_name":"Melike Erol\u2010Kantarci","orcid":"https://orcid.org/0000-0001-6787-8457"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Melike Erol-Kantarci","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Ottawa,Ottawa,Canada"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa,Ottawa,Canada","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003745190"],"corresponding_institution_ids":["https://openalex.org/I153718931"],"apc_list":null,"apc_paid":null,"fwci":1.6388,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.86677819,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3015","last_page":"3020"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10299","display_name":"Photonic and Optical Devices","score":0.9966999888420105,"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/T10299","display_name":"Photonic and Optical Devices","score":0.9966999888420105,"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/T11160","display_name":"Acoustic Wave Resonator Technologies","score":0.9814000129699707,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10752","display_name":"Terahertz technology and applications","score":0.9743000268936157,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.7573999762535095},{"id":"https://openalex.org/keywords/precoding","display_name":"Precoding","score":0.5149000287055969},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.453900009393692},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.43639999628067017},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.42489999532699585},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.4235000014305115},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.38659998774528503},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.33410000801086426}],"concepts":[{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.7573999762535095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5746999979019165},{"id":"https://openalex.org/C160562895","wikidata":"https://www.wikidata.org/wiki/Q7239557","display_name":"Precoding","level":4,"score":0.5149000287055969},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.453900009393692},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.43639999628067017},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.42489999532699585},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.4235000014305115},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4165000021457672},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.38659998774528503},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38280001282691956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33550000190734863},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.33410000801086426},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3075999915599823},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.2996000051498413},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.29919999837875366},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.29750001430511475},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.290800005197525},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.2833999991416931},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C2780909371","wikidata":"https://www.wikidata.org/wiki/Q4801092","display_name":"Artificial noise","level":4,"score":0.2775000035762787},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27059999108314514},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2612999975681305},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.2596000134944916},{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.25589999556541443}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc52391.2025.11160827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11160827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","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":10,"referenced_works":["https://openalex.org/W2884500262","https://openalex.org/W3034629262","https://openalex.org/W4214867678","https://openalex.org/W4313001863","https://openalex.org/W4391547642","https://openalex.org/W4391547747","https://openalex.org/W4392015065","https://openalex.org/W4394897008","https://openalex.org/W4399426672","https://openalex.org/W4402159876"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,73],"novel":[4],"semi-self":[5],"sensing":[6,33,39,100,146],"hybrid":[7],"reconfigurable":[8],"intelligent":[9],"surface":[10],"(SS-HRIS)":[11],"in":[12,30,53],"terahertz":[13],"(THz)":[14],"bands,":[15],"where":[16,169],"the":[17,47,64,68,91,104,111,119,126,135,151,170,173,177,186,203,230],"RIS":[18,237],"is":[19,51,87,131,140,167],"equipped":[20],"with":[21,37],"reflecting":[22],"elements":[23,29],"divided":[24],"between":[25],"passive":[26,236],"and":[27,40,81,122,134,145,176,194,213,217,238,242],"active":[28],"addition":[31],"to":[32,45,66,89,143,235],"elements.":[34],"SS-HRIS":[35,65],"along":[36],"integrated":[38],"communications":[41],"(ISAC)":[42],"can":[43],"help":[44],"mitigate":[46],"multipath":[48],"attenuation":[49],"that":[50,185,225],"abundant":[52],"THz":[54],"bands.":[55],"In":[56],"our":[57],"proposed":[58,88,187],"scheme,":[59],"sensors":[60],"are":[61,180],"configured":[62],"at":[63,125],"receive":[67],"radar":[69],"echo":[70,120],"signal":[71,121],"from":[72],"target.":[74,127],"A":[75],"joint":[76],"base":[77],"station":[78],"(BS)":[79],"beamforming":[80,216,241],"HRIS":[82,218,227,243],"precoding":[83,219,244],"matrix":[84,220,245],"optimization":[85,154,209],"problem":[86,139],"maximize":[90],"sum":[92,136,232],"rate":[93,137,233],"of":[94,113,115,118],"communication":[95,144],"users":[96],"while":[97],"maintaining":[98],"satisfactory":[99],"performance":[101,147,197],"measured":[102],"by":[103],"Cram\u00e9r-":[105],"Rao":[106],"bound":[107],"(CRB)":[108],"for":[109],"estimating":[110],"direction":[112],"angles":[114],"arrival":[116],"(AoA)":[117],"thermal":[123],"noise":[124],"The":[128],"CRB":[129],"expression":[130],"first":[132],"derived":[133],"maximization":[138],"formulated":[141],"subject":[142],"constraints.":[148],"To":[149],"solve":[150],"complex":[152],"non-convex":[153],"problem,":[155],"deep":[156,162],"deterministic":[157],"policy":[158,208],"gradient":[159],"(DDPG)-":[160],"based":[161,189],"reinforcement":[163],"learning":[164],"(DRL)":[165],"algorithm":[166,191,212],"proposed,":[168],"reward":[171],"function,":[172],"action":[174],"space":[175,179],"state":[178],"modeled.":[181],"Simulation":[182],"results":[183],"show":[184],"DDPG-":[188],"DRL":[190],"converges":[192],"well":[193],"achieves":[195],"better":[196],"than":[198],"several":[199],"baselines,":[200],"such":[201],"as":[202],"soft":[204],"actor-critic":[205],"(SAC),":[206],"proximal":[207],"(PPO),":[210],"greedy":[211],"random":[214,239],"BS":[215,240],"schemes.":[221,246],"Moreover,":[222],"it":[223],"demonstrates":[224],"adopting":[226],"significantly":[228],"enhances":[229],"achievable":[231],"compared":[234]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}