{"id":"https://openalex.org/W7153067931","doi":"https://doi.org/10.48550/arxiv.2604.07857","title":"Networking-Aware Energy Efficiency in Agentic AI Inference: A Survey","display_name":"Networking-Aware Energy Efficiency in Agentic AI Inference: A Survey","publication_year":2026,"publication_date":"2026-04-09","ids":{"openalex":"https://openalex.org/W7153067931","doi":"https://doi.org/10.48550/arxiv.2604.07857"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.07857","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.07857","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.2604.07857","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133319517","display_name":"Xiaojing Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Xiaojing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024224360","display_name":"Haiqi Yu","orcid":"https://orcid.org/0009-0007-8743-2867"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Haiqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133321169","display_name":"Wei Ni","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ni, Wei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133316033","display_name":"Dusit Niyato","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Niyato, Dusit","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133356332","display_name":"Ruichen Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Ruichen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133382924","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0003-0536-9010"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033980878","display_name":"Shunqing Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Shunqing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133325390","display_name":"Shugong Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Shugong","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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.1354999989271164,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.1354999989271164,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.06239999830722809,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.054099999368190765,"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/efficient-energy-use","display_name":"Efficient energy use","score":0.5475999712944031},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.47040000557899475},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.46959999203681946},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.3921999931335449},{"id":"https://openalex.org/keywords/transformative-learning","display_name":"Transformative learning","score":0.37070000171661377},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.35839998722076416},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.3359000086784363},{"id":"https://openalex.org/keywords/computational-model","display_name":"Computational model","score":0.31839999556541443}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7232000231742859},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5475999712944031},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.47040000557899475},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.46959999203681946},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3921999931335449},{"id":"https://openalex.org/C70587473","wikidata":"https://www.wikidata.org/wiki/Q7834111","display_name":"Transformative learning","level":2,"score":0.37070000171661377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3668999969959259},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.35839998722076416},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3359000086784363},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.326200008392334},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3237000107765198},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.31839999556541443},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C95491727","wikidata":"https://www.wikidata.org/wiki/Q992968","display_name":"Mobile telephony","level":3,"score":0.3041999936103821},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.302700012922287},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.2948000133037567},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C158156997","wikidata":"https://www.wikidata.org/wiki/Q1416645","display_name":"Models of communication","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C2778464652","wikidata":"https://www.wikidata.org/wiki/Q309849","display_name":"Open research","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2702000141143799},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.2599000036716461}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.07857","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.07857","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.2604.07857","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.07857","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":[{"display_name":"Affordable and clean energy","score":0.8451573252677917,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"rapid":[1],"emergence":[2],"of":[3,128],"Large":[4],"Language":[5],"Models":[6],"(LLMs)":[7],"has":[8],"catalyzed":[9],"Agentic":[10,65,139],"artificial":[11],"intelligence":[12],"(AI),":[13],"autonomous":[14,35,149],"systems":[15],"integrating":[16],"perception,":[17],"reasoning,":[18],"and":[19,37,50,70,85,103,106,120,141],"action":[20],"into":[21],"closed-loop":[22],"pipelines":[23],"for":[24,147],"continuous":[25],"adaptation.":[26],"While":[27],"unlocking":[28],"transformative":[29],"applications":[30],"in":[31],"mobile":[32,136],"edge":[33,121],"computing,":[34],"systems,":[36,143],"next-generation":[38],"wireless":[39,118],"networks,":[40],"this":[41,75],"paradigm":[42],"creates":[43],"fundamental":[44],"energy":[45,72,80],"challenges":[46,127],"through":[47],"iterative":[48],"inference":[49],"persistent":[51],"data":[52],"exchange.":[53],"Unlike":[54],"traditional":[55],"AI":[56,66],"where":[57],"bottlenecks":[58],"are":[59],"computational":[60,69,84],"Floating":[61],"Point":[62],"Operations":[63],"(FLOPs),":[64],"faces":[67],"compounding":[68],"communication":[71,86,137],"costs.":[73],"In":[74],"survey,":[76],"we":[77,124],"propose":[78],"an":[79],"accounting":[81],"framework":[82],"identifying":[83],"costs":[87],"across":[88],"the":[89],"Perception-Reasoning-Action":[90],"cycle.":[91],"We":[92,109],"establish":[93],"a":[94,145],"unified":[95],"taxonomy":[96],"spanning":[97],"model":[98,116],"simplification,":[99],"computation":[100],"control,":[101],"input":[102],"attention":[104],"optimization,":[105],"hardware-aware":[107],"inference.":[108],"explore":[110],"cross-layer":[111],"co-design":[112],"strategies":[113],"jointly":[114],"optimizing":[115],"parameters,":[117],"transmissions,":[119],"resources.":[122],"Finally,":[123],"identify":[125],"open":[126],"federated":[129],"green":[130],"learning,":[131],"carbon-aware":[132],"agency,":[133],"6th":[134],"generation":[135],"(6G)-native":[138],"AI,":[140],"self-sustaining":[142],"providing":[144],"roadmap":[146],"scalable":[148],"intelligence.":[150]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-11T00:00:00"}