6G Networks

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4 papers in the last four weeks, down 33% on the four weeks before. 0.0% of all new papers.

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Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing
May 26, 2026Minh K. Quan, Pubudu N. Pathirana6G Networks Time-Series Causal Discovery
School of Engineering, Deakin University, Geelong VIC 3220, Australia
6G Communication Networks Enabling Embodied Agents: Architecture and Prototype
May 22, 2026Lipeng Dai, Luping Xiang, Kun Yang6G Networks Robot Teleoperation
State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, 210008, China · Institute of Intelligent Networks and Communications (NINE), Nanjing University (Suzhou Campus), Suzhou, 215163, China
DRL-Driven Edge-Aware Utility Optimization for Multi-Slice 6G Networks
May 21, 2026Khaled M. Naguib, Soumaya Cherkaoui, Mahmoud M. Elmessalawy +26G Networks Edge Computing
CCAS Department, School of Engineering, New Giza University (NGU), Cairo, Egypt · Department of Computer and Software Engineering, Polytechnique Montreal, Montreal, QC H3T 1J4, Canada · Department of Electronics and Communications, Faculty of Engineering, Helwan University, Cairo, Egypt
FedCritic: Serverless Federated Critic Learning-based Resource Allocation for Multi-Cell OFDMA in 6G
May 20, 2026Amin Farajzadeh, Melike Erol-KantarciFederated RL 6G Networks
School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada
Towards Resilient and Autonomous Networks: A BlueSky Vision on AI-Native 6G
May 20, 2026Liang Wu, Kelly Wan, Mayank Darbari +16G Networks Multi-Agent Systems
Nokia Sunnyvale, California, USA
Embodied AI in 6G Networks: From Intelligent Connectivity to Physical Intelligence
May 17, 2026Junaid Sajid, Sheikh Salman Hassan, Wenshuai Liu +76G Networks Wireless Communications
Thomas Johann Seebeck Department of Electronics, Tallinn University of Technology (TalTech), 19086 Tallinn, Estonia · Institute for Imaging, Data and Communication (IDCoM), The University of Edinburgh, Edinburgh EH9 3BF, United Kingdom · School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, 214122, China +5
Operator-Controlled 6G: From Connectivity Infrastructure to Guaranteed Digital Services
May 15, 2026David Soldani6G Networks Wireless Communications
Rakuten Mobile Inc., Tokyo 158-0094, Japan
Physical-AI: From Channel Awareness to Environmental Intelligence in 6G Wireless Networks
May 12, 2026Farooque Hassan Kumbhar, Kapal Dev, Sunder Ali Khowaja +36G Networks Wireless Communications
Augmented Cognition Meta-communications ERC Research Center, Korea University, Korea · Department of Computer Science, Munster Technological University (MTU), Ireland · School of Computing, Faculty of Engineering and Computing, Dublin City University, Ireland +4
Bridging the Cognitive Gap: A Unified Memory Paradigm for 6G Agentic AI-RAN
May 11, 2026Xijun Wang, Zhaoyang Liu, Chenyuan Feng +36G Networks Wireless Communications
Sun Yat-sen University, China · University of Exeter, U.K. · Zhejiang University, China +2
Generalization Bounds of Emergent Communications for Agentic AI Networking
May 9, 2026Yong Xiao, Jingxuan Chai, Guangming Shi +16G Networks Information Bottleneck
School of Elect. Inform. & Commun., Huazhong Univ. of Science & Technology, China · School of Artificial Intelligence, Xidian University, Xi’an, China · Peng Cheng Laboratory, Shenzhen, China +1
6G Needs Agents: Toward Agentic AI-Native Networks for Autonomous Intelligence
May 2, 2026Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah6G Networks LLM Agent Orchestration
Department of Computer and Network Engineering, United Arab Emirates University, UAE · Research Institute for Digital Future, Khalifa University, UAE
AirFM-DDA: Air-Interface Foundation Model in the Delay-Doppler-Angle Domain for AI-Native 6G
Apr 19, 2026Kejia Bian, Meixia Tao, Jianhua Mo +2Wireless Foundation Models Representation Learning
School of Information Science and Electronic Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China · Shanghai Innovation Institute, Shanghai 200231, China
Towards Trustworthy 6G Network Digital Twins: A Framework for Validating Counterfactual What-If Analysis in Edge Computing Resources
Apr 16, 2026Julian Jimenez Agudelo, Paola Soto, Ayat Zaki-Hindi +56G Networks Digital Twins
University of Antwerp - imec, IDLab, Belgium · Luxembourg Institute of Science and Technology (LIST), Luxembourg
How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks
Mar 2, 2026Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah6G Networks Small Language Models
Department of Computer and Network Engineering, United Arab Emirates University, UAE · Research Institute for Digital Future, Khalifa University, UAE

May 26, 2026, cs.CRJ/K move · Enter open · S save

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing

Minh K. Quan, Pubudu N. Pathirana

School of Engineering, Deakin University, Geelong VIC 3220, Australia

6G Networks Time-Series Causal Discovery Cybersecurity Causal Attribution Wireless Communications

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Cross-slice attack attribution in 6G networks requires identifying causal propagation chains through shared infrastructure in under 100 ms. Existing methods struggle to satisfy this strict SLA without sacrificing accuracy, because shared resource contention creates spurious correlations that are indistinguishable from genuine causal links under standard Granger tests. We propose DA-GC, a certified causal attribution framework that integrates resource-conditioned Granger causality with an axiomatically derived Resource Contention Model (RCM) to systematically block resource-mediated confounding. On a 15-slice production-emulation 6G testbed with 1,100 attack scenarios, DA-GC achieves 89.2% attribution accuracy at 87 ms. This represents a 7.9 percentage-point improvement over the strongest baseline at 2.7x lower latency, alongside demonstrated cross-topology generalization and concept-drift resilience. Crucially, DA-GC is backed by a comprehensive formal certification stack. We provide mathematically proven validity certificates for statistical soundness under serially dependent telemetry and piecewise-stationarity. Furthermore, we establish strict security bounds, including an adversarial utilization spoofing breakdown point of

δ^* \approx 0.95

, and define the minimum differential-privacy noise required for a provably private and robust deployment.

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