Key papers

• AI agent for autonomous optical networks: architectures, technologies, and prospects [Invited Tutorial] (2026)
  Yihao Zhang et al.
  5.52
• Large Multimodal Model-Based Environment-Aware Mobility Management (2026)
  Seokhyun Jeong et al.
  4.39
• Edge-Efficient Transformer for End-to-End RF Spectrum Monitoring (2026)
  Zhifan Song et al.
  4.39
• Adaptive Two-Stage Online Learning for Service-Affecting Failure Detection in Mobile Core Networks (2026)
  J. du Toit et al.
  4.39
• Clustered Edge Intelligence: Beyond Just Convergence of Edge Computing and AI (2026)
  Chinmaya Kumar Dehury et al.
  4.39
• FlyRoute: Self-Evolving Agent Profiling via Data Flywheel for Adaptive Task Routing (2026)
  Rongjun Li et al.
  4.27
• FLINT: Fingerprinting Federated Learning Architectures from 5G PHY-Layer Side Channels (2026)
  Md Nahid Hasan Shuvo et al.
  3.51
• A Unified Adaptive Feature Composition Framework for Multi-Task Generalization in Wireless Foundation Models (2026)
  Yuxuan Shi et al.
  1.94
• Executor-side Progressive Risk-gated Actuation For Agentic AI In Wireless Supervisory Control (2026)
  Zhenyu Liu, Yi Ma, Rahim Tafazolli
  1.94
• Expertise-guided LLM agent for autonomous optical power optimization in field-deployed optical networks (2026)
  Qizhi Qiu et al.
  1.94
• Arl-tangram: Unleash The Resource Efficiency In Agentic Reinforcement Learning (2026)
  Bangjun Xiao, Yihao Zhao, Xiangwei Deng, et al.
  1.94
• A Graph Foundation Model for Wireless Resource Allocation (2026)
  Yucheng Sheng et al.
  1.83
• Equitable Multi-Task Learning for AI-RANs (2026)
  Panayiotis Raptis et al.
  1.78
• Scalable Explainability-as-a-Service (XaaS) for Edge AI Systems (2026)
  Samaresh Kumar Singh et al.
  1.72
• Llm-based Agentic Negotiation For 6G: Addressing Uncertainty Neglect And Tail-event Risk (2026)
  Hatim Chergui, Farhad Rezazadeh, Mehdi Bennis, et al.
  1.56
• LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks (2025)
  Lijie Zheng et al.
  1.33
• Fast State-Augmented Learning for Wireless Resource Allocation with Dual Variable Regression (2025)
  Yigit Berkay Uslu et al.
  1.28
• MX-AI: Agentic Observability And Control Platform For Open And AI-RAN (2025)
  Ilias Chatzistefanidis, Andrea Leone, Ali Yaghoubian, et al.
  1.28
• Agentran: An Agentic AI Architecture For Autonomous Control Of Open 6G Networks (2025)
  Maxime Elkael, Salvatore D'Oro, Leonardo Bonati, et al.
  1.28
• AI2MMUM: AI-AI Oriented Multi-Modal Universal Model Leveraging Telecom Domain Large Model (2025)
  Tianyu Jiao et al.
  1.22
• Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach (2025)
  Hao Fang et al.
  1.22
• Fast MLE and MAPE-Based Device Activity Detection for Grant-Free Access via PSCA and PSCA-Net (2025)
  Bowen Tan and Ying Cui
  1.11
• Federated Intelligence: When Large AI Models Meet Federated Fine-Tuning and Collaborative Reasoning at the Network Edge (2025)
  Wanli Ni et al.
  1.11
• Energy-Efficient Processing and Robust Wireless Cooperative Transmission for Edge Inference (2019)
  Kai Yang et al.
  —
• Over-the-Air Federated Multi-Task Learning (2021)
  Haoming Ma et al.
  —
• Actor-Critic Network for O-RAN Resource Allocation: xApp Design, Deployment, and Analysis (2022)
  Mohammadreza Kouchaki et al.
  —
• Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning (2023)
  Marco Skocaj et al.
  —
• Deep Reinforcement Learning for mmWave Initial Beam Alignment (2023)
  Daniel Tandler et al.
  —
• Orchestration of Emulator Assisted Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning Approach (2023)
  Wenhan Yu et al.
  —
• Federated Continual Learning for Edge-AI: A Comprehensive Survey (2024)
  Zi Wang et al.
  —