{"id":"https://openalex.org/W7167061949","doi":"https://doi.org/10.48550/arxiv.2607.00029","title":"Memory-Native Non-Terrestrial Networks for Embodied Intelligence","display_name":"Memory-Native Non-Terrestrial Networks for Embodied Intelligence","publication_year":2026,"publication_date":"2026-06-22","ids":{"openalex":"https://openalex.org/W7167061949","doi":"https://doi.org/10.48550/arxiv.2607.00029"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.00029","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.00029","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":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.2607.00029","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139859129","display_name":"Chengyang Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Chengyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139891515","display_name":"Yikun Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yikun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139925111","display_name":"Jiahui He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Jiahui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139879625","display_name":"Yujie Wan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wan, Yujie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139894599","display_name":"Shuai Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Shuai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139888029","display_name":"Yuan Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Yuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085964667","display_name":"Yik\u2010Chung Wu","orcid":"https://orcid.org/0000-0002-2738-0387"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Yik-Chung","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139865545","display_name":"Chengzhong Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Chengzhong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5042730077","display_name":"H\u00fcseyin Arslan","orcid":"https://orcid.org/0000-0001-9474-7372"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arslan, Huseyin","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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.8339999914169312,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.8339999914169312,"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/T12042","display_name":"Satellite Communication Systems","score":0.03480000048875809,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.014800000004470348,"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/stateless-protocol","display_name":"Stateless protocol","score":0.6101999878883362},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.571399986743927},{"id":"https://openalex.org/keywords/embodied-cognition","display_name":"Embodied cognition","score":0.4846999943256378},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4296000003814697},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4106000065803528},{"id":"https://openalex.org/keywords/cognitive-robotics","display_name":"Cognitive robotics","score":0.36959999799728394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7271000146865845},{"id":"https://openalex.org/C103613024","wikidata":"https://www.wikidata.org/wiki/Q230924","display_name":"Stateless protocol","level":3,"score":0.6101999878883362},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.571399986743927},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.4846999943256378},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4296000003814697},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4106000065803528},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39660000801086426},{"id":"https://openalex.org/C192327766","wikidata":"https://www.wikidata.org/wiki/Q1038799","display_name":"Cognitive robotics","level":3,"score":0.36959999799728394},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3693999946117401},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3091999888420105},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2827000021934509},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.00029","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.00029","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":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.2607.00029","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.00029","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5939582586288452}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Non-terrestrial":[0],"networks":[1],"(NTN)":[2],"provide":[3],"ubiquitous":[4],"connectivity":[5],"for":[6,74],"embodied":[7,139],"intelligence":[8],"(EI),":[9],"enabling":[10],"robots":[11],"in":[12,137],"wilderness":[13],"to":[14,22,31,130],"leverage":[15],"cloud":[16],"resources":[17],"or":[18],"report":[19],"critical":[20],"information":[21],"remote":[23],"centers.":[24],"However,":[25],"the":[26,32,46,65,95,98,124,131,145],"synergy":[27],"is":[28],"nontrivial":[29],"due":[30],"highly-dynamic,":[33],"resource-constrained,":[34],"topology-varying,":[35],"and":[36,54,100,114,126,133,153],"task-oriented":[37],"environment.":[38],"Existing":[39],"memoryless":[40],"NTN":[41,67,152],"protocols":[42],"become":[43],"inefficient,":[44],"since":[45],"decisions":[47],"are":[48],"driven":[49],"by":[50],"local":[51],"channel":[52],"conditions":[53],"instantaneous":[55],"service":[56],"demands.":[57],"To":[58,79],"address":[59],"these":[60],"limitations,":[61],"this":[62,81],"paper":[63],"proposes":[64],"memory-native":[66,120],"(MemNTN)":[68],"paradigm":[69,82],"that":[70,89,117,144],"leverages":[71],"long-horizon":[72],"contexts":[73],"memory":[75,93,102,109],"augmented":[76],"system":[77],"optimization.":[78],"realize":[80],"shift,":[83],"we":[84],"establish":[85],"a":[86],"dual-memory":[87],"architecture":[88],"distinguishes":[90],"between":[91],"physical":[92,125],"representing":[94],"state":[96],"of":[97],"world":[99],"digital":[101],"encoding":[103],"historical":[104],"network":[105,132],"experience.":[106],"We":[107],"develop":[108],"acquisition,":[110],"compression,":[111],"valuation,":[112],"update,":[113],"utilization":[115],"mechanisms":[116],"facilitate":[118],"cross-layer,":[119],"decision-making,":[121],"spanning":[122],"from":[123],"access":[127],"layers":[128],"up":[129],"application":[134],"layers.":[135],"Experiments":[136],"satellite":[138],"question":[140],"answering":[141],"(SEQA)":[142],"demonstrate":[143],"proposed":[146],"MemNTN":[147],"significantly":[148],"outperforms":[149],"conventional":[150],"stateless":[151],"terrestrial":[154],"approaches.":[155]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-03T00:00:00"}