{"id":"https://openalex.org/W7155876056","doi":"https://doi.org/10.48550/arxiv.2604.22533","title":"Gamma-Distributed Geometric Constellation for ISAC: Design and Analysis","display_name":"Gamma-Distributed Geometric Constellation for ISAC: Design and Analysis","publication_year":2026,"publication_date":"2026-04-24","ids":{"openalex":"https://openalex.org/W7155876056","doi":"https://doi.org/10.48550/arxiv.2604.22533"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.22533","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.22533","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2604.22533","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130061511","display_name":"Amirhossein Keshavarzchafjiri","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keshavarzchafjiri, Amirhossein","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134662822","display_name":"Janith K. Dassanayake","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dassanayake, Janith K.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134717160","display_name":"Gayan A. Aruma Baduge","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baduge, Gayan A. Aruma","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5051900532","display_name":"Mojtaba Vaezi","orcid":"https://orcid.org/0000-0003-3357-4660"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vaezi, Mojtaba","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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.4120999872684479,"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":0.4120999872684479,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.09740000218153,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.0674000009894371,"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/constellation","display_name":"Constellation","score":0.6937999725341797},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5934000015258789},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.5189999938011169},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.4952999949455261},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4368000030517578},{"id":"https://openalex.org/keywords/information-geometry","display_name":"Information geometry","score":0.39419999718666077},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.39329999685287476},{"id":"https://openalex.org/keywords/geometric-distribution","display_name":"Geometric distribution","score":0.3903999924659729},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.387800008058548},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.3637000024318695}],"concepts":[{"id":"https://openalex.org/C70352696","wikidata":"https://www.wikidata.org/wiki/Q8928","display_name":"Constellation","level":2,"score":0.6937999725341797},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5934000015258789},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5674999952316284},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.5189999938011169},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.4952999949455261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4684999883174896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45239999890327454},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4368000030517578},{"id":"https://openalex.org/C109546454","wikidata":"https://www.wikidata.org/wiki/Q3798604","display_name":"Information geometry","level":4,"score":0.39419999718666077},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.39329999685287476},{"id":"https://openalex.org/C39947850","wikidata":"https://www.wikidata.org/wiki/Q729523","display_name":"Geometric distribution","level":3,"score":0.3903999924659729},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.387800008058548},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.3637000024318695},{"id":"https://openalex.org/C185837786","wikidata":"https://www.wikidata.org/wiki/Q1782940","display_name":"Constellation diagram","level":4,"score":0.35989999771118164},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.33149999380111694},{"id":"https://openalex.org/C2780839233","wikidata":"https://www.wikidata.org/wiki/Q16000284","display_name":"Pairwise error probability","level":4,"score":0.326200008392334},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3158999979496002},{"id":"https://openalex.org/C32409245","wikidata":"https://www.wikidata.org/wiki/Q749753","display_name":"Quadrature amplitude modulation","level":4,"score":0.30790001153945923},{"id":"https://openalex.org/C49777392","wikidata":"https://www.wikidata.org/wiki/Q5535495","display_name":"Geometric networks","level":3,"score":0.295199990272522},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C134400042","wikidata":"https://www.wikidata.org/wiki/Q2372244","display_name":"Symbol (formal)","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C128963836","wikidata":"https://www.wikidata.org/wiki/Q6322815","display_name":"K-distribution","level":3,"score":0.27649998664855957},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C186394612","wikidata":"https://www.wikidata.org/wiki/Q7098942","display_name":"Optimal design","level":2,"score":0.2599000036716461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25279998779296875},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.22533","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.22533","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.22533","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.22533","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":{"A":[0],"novel":[1],"Gamma-distributed":[2],"geometric":[3,137],"constellation":[4,21,138],"design":[5],"framework":[6],"for":[7,37,44,55,60,86,99,105],"integrated":[8],"sensing":[9,56,106],"and":[10,40,57,71,101,130],"communication":[11,100],"(ISAC)":[12],"is":[13,74,112,139],"proposed":[14,88,110,136],"in":[15],"this":[16,19],"paper.":[17],"In":[18],"framework,":[20],"points":[22],"are":[23,62],"modeled":[24],"as":[25,64],"samples":[26],"drawn":[27],"from":[28],"a":[29,34,41],"parameterized":[30],"two-dimensional":[31],"distribution,":[32],"with":[33,114,142],"Gamma":[35],"distribution":[36,43],"the":[38,45,51,68,72,87,91,95,102,135],"amplitude":[39],"uniform":[42],"phase.":[46],"End-task":[47],"performance":[48,84,124],"metrics,":[49],"namely,":[50],"probability":[52],"of":[53,67],"detection":[54],"mutual":[58],"information":[59],"communication,":[61],"used":[63],"objective":[65],"functions":[66],"optimization":[69],"problem,":[70],"problem":[73],"solved":[75],"via":[76,117],"particle":[77],"swarm":[78],"optimization.":[79],"We":[80],"further":[81],"derive":[82],"analytical":[83],"bounds":[85],"design,":[89,121],"including":[90],"union":[92],"bound":[93,104],"on":[94],"symbol":[96],"error":[97],"rate":[98],"Cramer--Rao":[103],"parameter":[107],"estimation.":[108],"The":[109],"method":[111],"compared":[113],"constellations":[115],"obtained":[116],"end-to-end":[118],"neural":[119,149],"network":[120],"demonstrating":[122],"competitive":[123],"while":[125],"requiring":[126],"significantly":[127],"fewer":[128],"parameters":[129],"no":[131],"training":[132],"data.":[133],"Moreover,":[134],"more":[140],"compatible":[141],"conventional":[143],"system":[144],"architectures":[145],"than":[146],"probabilistic":[147],"or":[148],"network-based":[150],"designs.":[151]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-28T00:00:00"}