{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T22:22:37Z","timestamp":1775082157263,"version":"3.50.1"},"reference-count":177,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Scientific and Technological Research Council of T\u00fcrkiye (T\u00dcB\u0130TAK) 1515 Frontier Research and Development Laboratories Support Program for T\u00fcrk Telekom 6G Research and Development Laboratory","award":["5249902"],"award-info":[{"award-number":["5249902"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3667803","type":"journal-article","created":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T19:38:23Z","timestamp":1773257903000},"page":"45977-46023","source":"Crossref","is-referenced-by-count":0,"title":["Beyond Connectivity via Artificial Intelligence Agents Enabling Perceptive, Adaptive, and Anticipatory 6G Networks"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5796-3076","authenticated-orcid":false,"given":"Mucahit","family":"Altintas","sequence":"first","affiliation":[{"name":"Research and Development Department, Türk Telekom, İstanbul, Türkiye"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4005-4818","authenticated-orcid":false,"given":"Ismail","family":"Duru","sequence":"additional","affiliation":[{"name":"Research and Development Department, Türk Telekom, İstanbul, Türkiye"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3240-0530","authenticated-orcid":false,"given":"Ibrahim","family":"Yazici","sequence":"additional","affiliation":[{"name":"Research and Development Department, Türk Telekom, İstanbul, Türkiye"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7856-7053","authenticated-orcid":false,"given":"Sumeye Nur","family":"Karahan","sequence":"additional","affiliation":[{"name":"Research and Development Department, Türk Telekom, İstanbul, Türkiye"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-1608-356X","authenticated-orcid":false,"given":"Sedat","family":"Cimen","sequence":"additional","affiliation":[{"name":"Research and Development Department, Türk Telekom, İstanbul, Türkiye"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-019-0355-6"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3285359"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2024.3516819"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.31838\/njap\/07.01.09"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.001.1900287"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.array.2025.100399"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/fi17090404"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jai.2025.08.003"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2024.3422309"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2025.103599"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1142\/14380"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2025.3532853"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2025.116218"},{"key":"ref14","volume-title":"IG1252: Autonomous Network Levels Evaluation Methodology","year":"2023"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/a18080499"},{"key":"ref16","volume-title":"Artificial Intelligence: A Modern Approach","author":"Russell","year":"2021"},{"key":"ref17","article-title":"Mapping AI risk mitigations: Evidence scan and preliminary AI risk mitigation taxonomy","author":"Saeri","year":"2025","journal-title":"arXiv:2512.11931"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s43681-024-00653-w"},{"key":"ref19","volume-title":"A taxonomy of trustworthiness for artificial intelligence","year":"2021"},{"key":"ref20","article-title":"Human-AI governance (HAIG): A trust-utility approach","author":"Engin","year":"2025","journal-title":"arXiv:2505.01651"},{"key":"ref21","volume-title":"System Architecture: Strategy and Product Development for Complex Systems","author":"Crawley","year":"2016"},{"key":"ref22","volume-title":"Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles","year":"2021"},{"key":"ref23","article-title":"Regulation (EU) 2024\/XXXX of the European Parliament and of the council on artificial intelligence (artificial intelligence act)","year":"2024","journal-title":"Official J. European Union"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.6028\/nist.ai.100-1"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3403\/02534915"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IHTC.2017.8058187"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2500005"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2025.3623075"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CSCN67557.2025.11230734"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.eng.2025.06.027"},{"key":"ref31","volume-title":"Experiential Networked Intelligence (ENI); Study on AI Agents Based Next-Generation Network Slicing","year":"2025"},{"key":"ref32","article-title":"Integration of agentic AI with 6G networks for mission-critical applications: Use-case and challenges","author":"Khowaja","year":"2025","journal-title":"arXiv:2502.13476"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/GCWkshp64532.2024.11101226"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.015.2300521"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3269848"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/PIMRC62392.2025.11274801"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.016.2300600"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.007.2300144"},{"issue":"2","key":"ref39","first-page":"62","article-title":"AI-enabled network slicing orchestration for scalable 6G edge\u2013cloud architectures","volume-title":"Proc. ECCSUBMIT Conf.","volume":"3","author":"Salwadkar"},{"key":"ref40","article-title":"Network resource management for unified 6G network: The unity-6G approach","author":"Zeydan"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/EuCNC\/6GSummit60053.2024.10597087"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-024-4337-1"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/NetSoft64993.2025.11080553"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.005.2400019"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC65282.2025.11059600"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/6GSUMMIT49458.2020.9083880"},{"key":"ref47","article-title":"EdgeAI: A vision for distributed, edge-native artificial intelligence in future 6G networks","author":"Lov\u00e9n","year":"2019"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/2576768.2598257"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10447575"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2025.3553302"},{"key":"ref51","article-title":"Frontiers of generative AI for network optimization: Theories, limits, and visions","author":"Yang","year":"2025","journal-title":"arXiv:2507.01773"},{"issue":"1","key":"ref52","first-page":"221","article-title":"Agentic AI for autonomous network orchestration: A new frontier in telecommunications","volume":"46","author":"Komaragiri","year":"2025","journal-title":"Eksplorium-Buletin Pusat Teknologi Bahan Galian Nuklir"},{"key":"ref53","article-title":"Enabling intelligent network management through multi-agent systems: An implementation of autonomous network system","author":"Tshakwanda","year":"2023"},{"key":"ref54","article-title":"Toward experience-driven traffic management and orchestration in digital-twin-enabled 6G networks","author":"Tariq","year":"2022","journal-title":"arXiv:2201.04259"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3198806"},{"issue":"8","key":"ref56","doi-asserted-by":"crossref","first-page":"230","DOI":"10.3390\/fi14080230","article-title":"Multi-agent-based traffic prediction and traffic classification for autonomic network management systems for future networks","volume":"14","author":"Arzo","year":"2022","journal-title":"Future Internet"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1155\/2024\/8845070"},{"issue":"8","key":"ref58","doi-asserted-by":"crossref","first-page":"274","DOI":"10.3390\/fi16080274","article-title":"Dynamic storage optimization for communication between AI agents","volume":"16","author":"Tara","year":"2024","journal-title":"Future Internet"},{"issue":"6","key":"ref59","doi-asserted-by":"crossref","first-page":"126","DOI":"10.3390\/ai6060126","article-title":"Artificial intelligence empowering dynamic spectrum access in advanced wireless communications: A comprehensive overview","volume":"6","author":"Gbenga-Ilori","year":"2025","journal-title":"AI"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3215487"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1080\/00051144.2019.1674512"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM54140.2023.10437779"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/jsac.2026.3660010"},{"key":"ref64","article-title":"AI-driven low-altitude economy: Spectrum, mobility, and validation","author":"Tekb\u0131y\u0131k","year":"2025","journal-title":"arXiv:2506.01378"},{"issue":"4","key":"ref65","first-page":"138","article-title":"Automating cyber threat response using agentic AI and reinforcement learning techniques","volume":"17","author":"Katnapally","year":"2021","journal-title":"J. Electr. Syst."},{"issue":"1","key":"ref66","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/network5010001","article-title":"Enhancing communication networks in the new era with artificial intelligence: Techniques, applications, and future directions","volume":"5","author":"El-Hajj","year":"2025","journal-title":"Network"},{"key":"ref67","article-title":"Large language models in 6G security: Challenges and opportunities","author":"Nguyen","year":"2024","journal-title":"arXiv:2403.12239"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/ICCWorkshops67674.2025.11162291"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3130901"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3460656"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2024.3466225"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.101.2100285"},{"issue":"13","key":"ref73","doi-asserted-by":"crossref","first-page":"5062","DOI":"10.3390\/s22135062","article-title":"Multi-agent dynamic resource allocation in 6G in-X subnetworks with limited sensing information","volume":"22","author":"Adeogun","year":"2022","journal-title":"Sensors"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2024.3487995"},{"key":"ref75","article-title":"Toward hyper-adaptive AI-enabled 6G networks for energy efficiency: Techniques, classifications and tradeoffs","author":"Zayene","year":"2025","journal-title":"arXiv:2511.16296"},{"key":"ref76","article-title":"Multi-agent reinforcement learning in wireless distributed networks for 6G","author":"Zhang","year":"2025","journal-title":"arXiv:2502.05812"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-75575-y"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3451193"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2024.3436824"},{"issue":"4","key":"ref80","first-page":"86","article-title":"AI-driven resource allocation for energy-efficient 6G massive MIMO networks","volume-title":"Proc. ECCSUBMIT Conf.","volume":"2","author":"Hochmair"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2025.3587979"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2025.3574765"},{"key":"ref83","doi-asserted-by":"crossref","DOI":"10.1016\/j.phycom.2024.102576","article-title":"Deep contextual bandits-based energy-efficient beamforming for integrated sensing and communication","volume":"68","author":"Choukali","year":"2025","journal-title":"Phys. Commun."},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2025.3602862"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2025.3557008"},{"key":"ref86","article-title":"Privacy-preserving AI in Telecom: A taxonomy and survey of federated learning applications","author":"Kazi","year":"2025","journal-title":"Telecom: A Taxonomy and Survey of Federated Learning Applications"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2025.3590596"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2025.3564722"},{"key":"ref89","article-title":"Graph neural network aided deep reinforcement learning for resource allocation in dynamic terahertz UAV networks","author":"Hu","year":"2025","journal-title":"arXiv:2505.04981"},{"key":"ref90","article-title":"Agentic graph neural networks for wireless communications and networking towards edge general intelligence: A survey","author":"Lu","year":"2025","journal-title":"arXiv:2508.08620"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2025.3585146"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2025.3553407"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2025.3588697"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.3390\/telecom5040063"},{"key":"ref95","article-title":"Meta-learning based optimization for large scale wireless systems","author":"Loli","year":"2024","journal-title":"arXiv:2407.01823"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1109\/ICC51166.2024.10622978"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2024.3510273"},{"key":"ref98","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.procs.2024.08.006","article-title":"Resource allocation with graph neural networks-multi agent reinforcement learning for 6G HetNets","volume":"241","author":"Agila","year":"2024","journal-title":"Proc. Comput. Sci."},{"key":"ref99","article-title":"Developing NOMA to next generation multiple access (NGMA): Future vision and research opportunities","author":"Liu","year":"2021","journal-title":"arXiv:2103.02334"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.2100338"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2023.3273310"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM48099.2022.10000763"},{"key":"ref103","article-title":"Deep reinforcement learning for network energy saving in 6G and beyond networks","author":"Tran","year":"2024","journal-title":"arXiv:2408.10974"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2024.3435850"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.2478\/cait-2024-0029"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.104.2100422"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3428518"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2023.103770"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2400484"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2021.3121530"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3207918"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2021.3120996"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2025.3545425"},{"issue":"6","key":"ref114","doi-asserted-by":"crossref","first-page":"3252","DOI":"10.3390\/app15063252","article-title":"6G wireless communications and artificial intelligence-controlled reconfigurable intelligent surfaces: From supervised to federated learning","volume":"15","author":"Zaoutis","year":"2025","journal-title":"Appl. Sci."},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3225812"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.007.2300176"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3221935"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2022.103933"},{"key":"ref119","article-title":"Scalable decentralized cooperative platoon using multi-agent deep reinforcement learning","author":"Abdelrahman","year":"2023","journal-title":"arXiv:2312.06858"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.20517\/ir.2022.11"},{"issue":"19","key":"ref121","doi-asserted-by":"crossref","first-page":"10145","DOI":"10.3390\/app121910145","article-title":"Deep reinforcement learning for vehicle platooning at a signalized intersection in mixed traffic with partial detection","volume":"12","author":"Trinh","year":"2022","journal-title":"Appl. Sci."},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.1109\/ICC45041.2023.10279056"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2931583"},{"issue":"13","key":"ref124","doi-asserted-by":"crossref","first-page":"4182","DOI":"10.3390\/s24134182","article-title":"Federated learning-oriented edge computing framework for the IIoT","volume":"24","author":"Liu","year":"2024","journal-title":"Sensors"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-022-07065-z"},{"issue":"5","key":"ref126","doi-asserted-by":"crossref","first-page":"321","DOI":"10.3390\/drones9050321","article-title":"Robust UAV-oriented wireless communications via multi-agent deep reinforcement learning to optimize user coverage","volume":"9","author":"Khan","year":"2025","journal-title":"Drones"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2022.3213370"},{"key":"ref128","article-title":"Multi-agent meta-offline reinforcement learning for timely UAV path planning and data collection","author":"Eldeeb","year":"2025","journal-title":"arXiv:2501.16098"},{"key":"ref129","doi-asserted-by":"publisher","DOI":"10.1109\/ccnc51644.2023.10060225"},{"key":"ref130","doi-asserted-by":"publisher","DOI":"10.3390\/s23208474"},{"key":"ref131","doi-asserted-by":"crossref","DOI":"10.1016\/j.paerosci.2023.100960","article-title":"Artificial intelligence for trusted autonomous satellite operations","volume":"144","author":"Thangavel","year":"2024","journal-title":"Prog. Aerosp. Sci."},{"key":"ref132","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.003.2100672"},{"key":"ref133","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF60004.2024.10942618"},{"key":"ref134","doi-asserted-by":"publisher","DOI":"10.1109\/ICCWorkshops67674.2025.11162434"},{"key":"ref135","article-title":"AI-native network digital twin for intelligent network management in 6G","author":"Wu","year":"2024","journal-title":"arXiv:2410.01584"},{"key":"ref136","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2400202"},{"key":"ref137","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOMWKSHPS57453.2023.10225766"},{"key":"ref138","doi-asserted-by":"publisher","DOI":"10.1109\/TMLCN.2025.3593184"},{"key":"ref139","volume-title":"When Will AI Agents Begin to Design and Deploy New AI Apps for OSS\/BSS?","author":"Singhal","year":"2025"},{"key":"ref140","volume-title":"AI-ran Alliance Celebrates Its First Anniversary At MWC 2025","year":"2025"},{"key":"ref141","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2000367"},{"key":"ref142","doi-asserted-by":"publisher","DOI":"10.1561\/2000000109"},{"key":"ref143","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.2400224"},{"key":"ref144","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2023.3300664"},{"key":"ref145","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3156632"},{"key":"ref146","volume-title":"Catalyst Projects","year":"2025"},{"key":"ref147","article-title":"Tele-LLMs: A series of specialized large language models for telecommunications","author":"Maatouk","year":"2024","journal-title":"arXiv:2409.05314"},{"key":"ref148","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.emnlp-industry.168"},{"key":"ref149","volume-title":"Autonomous Networks","year":"2025"},{"key":"ref150","volume-title":"Chat With Tobi in My Vodafone","year":"2025"},{"key":"ref151","volume-title":"Meet Aura, Tele Artificial Intelligence","year":"2025"},{"key":"ref152","first-page":"2321","article-title":"Scalability of distributed intelligence architecture for 6G network automation","volume-title":"Proc. IEEE Int. Conf. Commun.","author":"Majumdar"},{"key":"ref153","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2022.108987"},{"key":"ref154","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-024-00879-7"},{"key":"ref155","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3126076"},{"key":"ref156","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.010.2200546"},{"key":"ref157","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-022-3652-2"},{"key":"ref158","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.005.2200440"},{"key":"ref159","doi-asserted-by":"publisher","DOI":"10.1109\/JLT.2025.3613544"},{"key":"ref160","article-title":"Ultra-low-latency edge intelligent sensing: A source-channel tradeoff and its application to coding rate adaptation","author":"Zeng","year":"2025","journal-title":"arXiv:2503.04645"},{"key":"ref161","doi-asserted-by":"publisher","DOI":"10.65109\/dwbu7211"},{"key":"ref162","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2024.3510543"},{"key":"ref163","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2024.3466511"},{"key":"ref164","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.010.2400065"},{"key":"ref165","volume-title":"Study on Artificial Intelligence (AI)\/Machine Learning (ML) for NR Air Interface","year":"2023"},{"key":"ref166","volume-title":"Focus Group on Artificial Intelligence Native for Telecommunication Networks (FG-AINN)","year":"2024"},{"key":"ref167","volume-title":"O-RAN architecture description","year":"2024"},{"key":"ref168","article-title":"An overview of the 3GPP study on artificial intelligence for 5G new radio","author":"Lin","year":"2023","journal-title":"arXiv:2308.05315"},{"key":"ref169","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2022.9979699"},{"key":"ref170","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-99-0416-7_51"},{"key":"ref171","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2024.3361451"},{"key":"ref172","doi-asserted-by":"publisher","DOI":"10.1109\/mcom.001.2300710"},{"key":"ref173","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3454223"},{"key":"ref174","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3263909"},{"key":"ref175","article-title":"Security and privacy of digital twins for advanced manufacturing: A survey","author":"Zemskov","year":"2024","journal-title":"arXiv:2412.13939"},{"key":"ref176","doi-asserted-by":"publisher","DOI":"10.1109\/PIMRC56721.2023.10293762"},{"key":"ref177","article-title":"A digital twin framework for cyber security in cyber-physical systems","author":"Zhao","year":"2022","journal-title":"arXiv:2204.13859"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11431193.pdf?arnumber=11431193","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T20:13:55Z","timestamp":1775074435000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11431193\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":177,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3667803","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}