{"id":"https://openalex.org/W7151473540","doi":"https://doi.org/10.48550/arxiv.2604.04031","title":"Environment-Aware Near-Field Channel Estimation Leveraging CKM and ISAC","display_name":"Environment-Aware Near-Field Channel Estimation Leveraging CKM and ISAC","publication_year":2026,"publication_date":"2026-04-05","ids":{"openalex":"https://openalex.org/W7151473540","doi":"https://doi.org/10.48550/arxiv.2604.04031"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.04031","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.04031","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2604.04031","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133118976","display_name":"Yuan Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Yuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133109677","display_name":"Yilong Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yilong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087463599","display_name":"Zixiang Ren","orcid":"https://orcid.org/0000-0003-1626-9605"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ren, Zixiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133079471","display_name":"Jie Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Jie","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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.48350000381469727,"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"}},"topics":[{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.48350000381469727,"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"}},{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.27970001101493835,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.03920000046491623,"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/channel","display_name":"Channel (broadcasting)","score":0.7875000238418579},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.6347000002861023},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.6230000257492065},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5687000155448914},{"id":"https://openalex.org/keywords/virtual-channel","display_name":"Virtual channel","score":0.5647000074386597},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5595999956130981},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.5194000005722046},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.44519999623298645}],"concepts":[{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.7875000238418579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6837999820709229},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.6347000002861023},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.6230000257492065},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5687000155448914},{"id":"https://openalex.org/C2777076873","wikidata":"https://www.wikidata.org/wiki/Q2291875","display_name":"Virtual channel","level":3,"score":0.5647000074386597},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5595999956130981},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.5194000005722046},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4602000117301941},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.44519999623298645},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4447999894618988},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4320000112056732},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.3734000027179718},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.3587000072002411},{"id":"https://openalex.org/C197298091","wikidata":"https://www.wikidata.org/wiki/Q5318963","display_name":"Dynamic data","level":2,"score":0.3073999881744385},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.30709999799728394},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2971000075340271},{"id":"https://openalex.org/C62191587","wikidata":"https://www.wikidata.org/wiki/Q4771249","display_name":"Antenna array","level":3,"score":0.2825999855995178},{"id":"https://openalex.org/C105331701","wikidata":"https://www.wikidata.org/wiki/Q1268965","display_name":"Dynamic positioning","level":2,"score":0.26660001277923584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.04031","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.04031","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2604.04031","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.04031","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[{"score":0.477622389793396,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"environment-aware":[4],"near-field":[5,155],"channel":[6,28,47,90,167,184],"estimation":[7,168,185],"framework":[8,25],"for":[9,45,108],"integrated":[10],"sensing":[11,109,179],"and":[12,32,41,115,135,149,165,187],"communication":[13],"(ISAC)":[14],"systems":[15],"equipped":[16],"with":[17],"extremely":[18],"large-scale":[19],"antenna":[20],"arrays":[21],"(ELAAs).":[22],"The":[23],"proposed":[24,162],"jointly":[26,142],"exploits":[27],"knowledge":[29],"maps":[30],"(CKMs)":[31],"ISAC":[33],"to":[34,72,152],"obtain":[35],"a":[36,53,88,122],"priori":[37],"information":[38],"on":[39,131],"static":[40,81,148],"dynamic":[42,110,138,150,178],"environmental":[43],"features":[44],"facilitating":[46],"estimation.":[48],"In":[49,84],"particular,":[50],"we":[51,86],"propose":[52],"novel":[54],"CKM":[55],"representation,":[56],"termed":[57],"the":[58,65,74,95,113,116,132,136,140,144,147,154,161],"virtual":[59,68],"object":[60],"map":[61],"(VOM),":[62],"which":[63,94],"stores":[64],"locations":[66],"of":[67,125,146,182],"environment":[69],"objects":[70],"(EOs)":[71],"characterize":[73],"dominant":[75],"multipath":[76],"components":[77],"(MPCs)":[78],"induced":[79],"by":[80],"physical":[82],"EOs.":[83],"addition,":[85],"design":[87],"sensing-assisted":[89],"training":[91],"protocol,":[92],"in":[93,112,180],"ISAC-enabled":[96],"base":[97],"station":[98],"(BS)":[99],"transmits":[100],"downlink":[101],"pilots":[102],"while":[103],"simultaneously":[104],"collecting":[105],"monostatic":[106],"echoes":[107],"targets":[111],"environment,":[114],"user":[117],"equipment":[118],"(UE)":[119],"feeds":[120],"back":[121],"quantized":[123],"version":[124],"its":[126],"received":[127],"pilot":[128],"observation.":[129],"Based":[130],"VOM":[133],"prior":[134],"sensed":[137],"information,":[139],"BS":[141],"estimates":[143],"coefficients":[145],"MPCs":[151],"recover":[153],"channel.":[156],"Numerical":[157],"results":[158],"demonstrate":[159],"that":[160],"joint":[163],"VOM-":[164],"sensing-aided":[166],"scheme":[169],"significantly":[170],"outperforms":[171],"conventional":[172],"schemes":[173],"without":[174],"VOM-based":[175],"priors":[176],"and/or":[177],"terms":[181],"both":[183],"accuracy":[186],"achievable":[188],"rate.":[189]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-08T00:00:00"}
