{"id":"https://openalex.org/W7128381115","doi":"https://doi.org/10.48550/arxiv.2602.06247","title":"AI-Limited Fluid Antenna-Aided Integrated Sensing and Communication Systems","display_name":"AI-Limited Fluid Antenna-Aided Integrated Sensing and Communication Systems","publication_year":2026,"publication_date":"2026-02-05","ids":{"openalex":"https://openalex.org/W7128381115","doi":"https://doi.org/10.48550/arxiv.2602.06247"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.06247","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125387709","display_name":"Farshad Rostami Ghadi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ghadi, Farshad Rostami","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125406958","display_name":"Kai-Kit Wong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wong, Kai-Kit","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125429186","display_name":"F. Javier Lopez-Martinez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lopez-Martinez, F. Javier","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125388011","display_name":"Zhentian Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zhentian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125416065","display_name":"Hyundong Shin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shin, Hyundong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5125384665","display_name":"Christos Masouros","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Masouros, Christos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.17720000445842743,"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"}},"topics":[{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.17720000445842743,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.11879999935626984,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.11079999804496765,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/fading","display_name":"Fading","score":0.6263999938964844},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5569000244140625},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.5306000113487244},{"id":"https://openalex.org/keywords/communications-system","display_name":"Communications system","score":0.4821000099182129},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.46160000562667847},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4609000086784363},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4523000121116638},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4352000057697296},{"id":"https://openalex.org/keywords/converse","display_name":"Converse","score":0.37860000133514404},{"id":"https://openalex.org/keywords/narrowband","display_name":"Narrowband","score":0.35409998893737793}],"concepts":[{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.6263999938964844},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5569000244140625},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.5306000113487244},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.524399995803833},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5227000117301941},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.4821000099182129},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.46160000562667847},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4609000086784363},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4523000121116638},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4352000057697296},{"id":"https://openalex.org/C2776809875","wikidata":"https://www.wikidata.org/wiki/Q1375963","display_name":"Converse","level":2,"score":0.37860000133514404},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3774000108242035},{"id":"https://openalex.org/C2776096036","wikidata":"https://www.wikidata.org/wiki/Q1140483","display_name":"Narrowband","level":2,"score":0.35409998893737793},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.3391000032424927},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3386000096797943},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.32670000195503235},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.32659998536109924},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.32440000772476196},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.31859999895095825},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.31279999017715454},{"id":"https://openalex.org/C150060386","wikidata":"https://www.wikidata.org/wiki/Q7574054","display_name":"Spatial correlation","level":2,"score":0.29919999837875366},{"id":"https://openalex.org/C60069766","wikidata":"https://www.wikidata.org/wiki/Q357054","display_name":"Antenna diversity","level":3,"score":0.29269999265670776},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C509933004","wikidata":"https://www.wikidata.org/wiki/Q194163","display_name":"Broadband","level":2,"score":0.2865000069141388},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.28439998626708984},{"id":"https://openalex.org/C2779767902","wikidata":"https://www.wikidata.org/wiki/Q17037278","display_name":"Molecular communication","level":4,"score":0.2809999883174896},{"id":"https://openalex.org/C208081375","wikidata":"https://www.wikidata.org/wiki/Q274502","display_name":"Degrees of freedom (physics and chemistry)","level":2,"score":0.2732999920845032},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27129998803138733},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C136817519","wikidata":"https://www.wikidata.org/wiki/Q947493","display_name":"Diversity combining","level":4,"score":0.263700008392334},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C19275194","wikidata":"https://www.wikidata.org/wiki/Q222903","display_name":"Multiplexing","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.25519999861717224},{"id":"https://openalex.org/C160562895","wikidata":"https://www.wikidata.org/wiki/Q7239557","display_name":"Precoding","level":4,"score":0.25360000133514404},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.2522999942302704}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.06247","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.06247","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.06247","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.06247","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7629567980766296}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"characterizes":[2],"the":[3,13,25,34,57,62,66,69,77,90,98,104,124,132,139,146,150,153,158,162,170,175,179,184,188,206],"fundamental":[4,201],"limits":[5],"of":[6,127,131,149,161],"integrated":[7],"sensing":[8,93,193],"and":[9,24,44,92,109,113,166,192,208],"communication":[10,91,190],"(ISAC)":[11],"when":[12],"transmitter":[14],"is":[15,36,80,142],"subject":[16],"to":[17,82,182],"an":[18,40,47,83],"artificial":[19],"intelligence":[20],"(AI)":[21],"representation":[22,54,85],"bottleneck":[23,79],"receiver":[26,64],"employs":[27],"a":[28,51],"fluid":[29],"antenna":[30],"system":[31],"(FAS).":[32],"Specifically,":[33],"message":[35],"first":[37],"encoded":[38],"into":[39,50],"ideal":[41],"Gaussian":[42],"waveform":[43],"mapped":[45],"by":[46,145],"AI":[48,78],"encoder":[49],"finite-capacity":[52],"latent":[53],"that":[55,76,138],"constitutes":[56],"physical":[58,147],"channel":[59,72],"input,":[60],"while":[61],"FAS":[63,151,171,176],"selects":[65],"port":[67],"experiencing":[68],"most":[70],"favorable":[71],"conditions.":[73],"We":[74,101],"reveal":[75],"equivalent":[81],"additive":[84],"noise,":[86],"which":[87],"reduces":[88],"both":[89],"signal-to-noise":[94],"ratios":[95],"(SNRs)":[96],"at":[97],"selected":[99],"port.":[100],"then":[102],"derive":[103],"resulting":[105],"ISAC":[106],"capacitydistortion":[107],"region":[108],"establish":[110],"tight":[111],"converse":[112],"achievability":[114],"bounds":[115],"under":[116],"general":[117],"fading":[118],"models,":[119],"including":[120],"Jakes-correlated":[121],"channels.":[122],"Leveraging":[123],"spatial":[125],"degrees":[126],"freedom":[128],"(DoF)":[129],"characterization":[130],"Jakes'":[133,163],"model,":[134],"we":[135],"furthermore":[136],"prove":[137],"port-selection":[140],"gain":[141],"fundamentally":[143],"constrained":[144],"length":[148,177],"region:":[152],"effective":[154],"diversity":[155],"order":[156],"equals":[157],"numerical":[159],"rank":[160],"correlation":[164],"matrix":[165],"increases":[167],"only":[168],"with":[169],"length.":[172],"Consequently,":[173],"enlarging":[174],"allows":[178],"selected-port":[180],"SNR":[181],"approach":[183],"AI-imposed":[185],"ceiling,":[186],"driving":[187],"achievable":[189],"rate":[191],"mean":[194],"square":[195],"error":[196],"(MSE)":[197],"toward":[198],"their":[199],"AI-limited":[200],"bounds.":[202],"Numerical":[203],"results":[204],"corroborate":[205],"analysis":[207],"scaling":[209],"laws.":[210]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-10T00:00:00"}