{"id":"https://openalex.org/W7147034282","doi":"https://doi.org/10.48550/arxiv.2603.29717","title":"\u03b1-Fair Multistatic ISAC Beamforming for Multi-User MIMO-OFDM Systems via Riemannian Optimization","display_name":"\u03b1-Fair Multistatic ISAC Beamforming for Multi-User MIMO-OFDM Systems via Riemannian Optimization","publication_year":2026,"publication_date":"2026-03-31","ids":{"openalex":"https://openalex.org/W7147034282","doi":"https://doi.org/10.48550/arxiv.2603.29717"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.29717","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.29717","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.29717","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076789345","display_name":"Hyeonho Noh","orcid":"https://orcid.org/0000-0002-4951-1472"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Noh, Hyeonho","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5048931140","display_name":"Jonggyu Jang","orcid":"https://orcid.org/0000-0001-9651-2227"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jang, Jonggyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.3995000123977661,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.3995000123977661,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.195700004696846,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.1597999930381775,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.6371999979019165},{"id":"https://openalex.org/keywords/bistatic-radar","display_name":"Bistatic radar","score":0.5907999873161316},{"id":"https://openalex.org/keywords/multistatic-radar","display_name":"Multistatic radar","score":0.5526000261306763},{"id":"https://openalex.org/keywords/multiplexing","display_name":"Multiplexing","score":0.4821999967098236},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.45399999618530273},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.4440000057220459},{"id":"https://openalex.org/keywords/conjugate-gradient-method","display_name":"Conjugate gradient method","score":0.36629998683929443}],"concepts":[{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.6371999979019165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6302000284194946},{"id":"https://openalex.org/C100102862","wikidata":"https://www.wikidata.org/wiki/Q2625855","display_name":"Bistatic radar","level":4,"score":0.5907999873161316},{"id":"https://openalex.org/C2777585438","wikidata":"https://www.wikidata.org/wiki/Q6935105","display_name":"Multistatic radar","level":5,"score":0.5526000261306763},{"id":"https://openalex.org/C19275194","wikidata":"https://www.wikidata.org/wiki/Q222903","display_name":"Multiplexing","level":2,"score":0.4821999967098236},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.45399999618530273},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.4440000057220459},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.42179998755455017},{"id":"https://openalex.org/C81184566","wikidata":"https://www.wikidata.org/wiki/Q1191895","display_name":"Conjugate gradient method","level":2,"score":0.36629998683929443},{"id":"https://openalex.org/C89061704","wikidata":"https://www.wikidata.org/wiki/Q5555726","display_name":"Frequency-division multiplexing","level":4,"score":0.3555000126361847},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3531000018119812},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3221000134944916},{"id":"https://openalex.org/C50661577","wikidata":"https://www.wikidata.org/wiki/Q901831","display_name":"Time-division multiplexing","level":3,"score":0.32120001316070557},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.32120001316070557},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3158000111579895},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3131999969482422},{"id":"https://openalex.org/C65422117","wikidata":"https://www.wikidata.org/wiki/Q358527","display_name":"Transmitter power output","level":4,"score":0.3075999915599823},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3005000054836273},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2612000107765198},{"id":"https://openalex.org/C137184094","wikidata":"https://www.wikidata.org/wiki/Q6764300","display_name":"Marine mammals and sonar","level":3,"score":0.26089999079704285}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.29717","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.29717","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.29717","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.29717","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"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],"proposes":[2],"an":[3],"$\u03b1$-fair":[4],"multistatic":[5,32],"integrated":[6],"sensing":[7,40,100],"and":[8,42,65],"communication":[9,23],"(ISAC)":[10],"framework":[11],"for":[12],"multi-user":[13],"multi-input":[14],"multi-output":[15],"(MIMO)-orthogonal":[16],"frequency":[17],"division":[18],"multiplexing":[19],"(OFDM)":[20],"systems,":[21],"where":[22],"users":[24],"act":[25],"as":[26],"passive":[27],"bistatic":[28],"receivers":[29],"to":[30,60],"enable":[31],"sensing.":[33],"Unlike":[34],"existing":[35],"works":[36],"that":[37],"optimize":[38],"aggregate":[39],"metrics":[41],"thus":[43],"favor":[44],"geometrically":[45],"advantageous":[46],"targets,":[47],"we":[48],"minimize":[49],"the":[50,76,90,93],"$\u03b1$-fairness":[51],"utility":[52],"over":[53],"per-target":[54],"Cram\u00e9r--Rao":[55],"lower":[56],"bounds":[57],"(CRLBs)":[58],"subject":[59],"per-user":[61],"minimum":[62],"data":[63],"rate":[64],"transmit":[66],"power":[67],"constraints.":[68],"The":[69],"resulting":[70],"non-convex":[71],"problem":[72],"is":[73],"solved":[74],"via":[75],"Riemannian":[77],"conjugate":[78],"gradient":[79],"(RCG)":[80],"method":[81],"with":[82],"a":[83,98],"smooth":[84],"penalty":[85],"reformulation.":[86],"Simulation":[87],"results":[88],"validate":[89],"effectiveness":[91],"of":[92],"proposed":[94],"scheme":[95],"in":[96],"achieving":[97],"favorable":[99],"fairness--communication":[101],"trade-off.":[102]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-02T00:00:00"}
